[go: up one dir, main page]

US20120225925A1 - Micro-RNA Biomarkers and Methods of Using Same - Google Patents

Micro-RNA Biomarkers and Methods of Using Same Download PDF

Info

Publication number
US20120225925A1
US20120225925A1 US13/367,582 US201213367582A US2012225925A1 US 20120225925 A1 US20120225925 A1 US 20120225925A1 US 201213367582 A US201213367582 A US 201213367582A US 2012225925 A1 US2012225925 A1 US 2012225925A1
Authority
US
United States
Prior art keywords
mir
hsa
mirna
expression
level
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Abandoned
Application number
US13/367,582
Other languages
English (en)
Inventor
Gabriella Sozzi
Ugo Pastorino
Mattia Boeri
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
BioMirna Holdings Ltd
Original Assignee
BioMirna Holdings Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Priority claimed from ITMI2011A000172A external-priority patent/IT1406672B1/it
Priority claimed from ITMI2011A000173A external-priority patent/IT1403685B1/it
Priority claimed from ITMI2011A000174A external-priority patent/IT1406866B1/it
Application filed by BioMirna Holdings Ltd filed Critical BioMirna Holdings Ltd
Priority to US13/367,582 priority Critical patent/US20120225925A1/en
Assigned to BIOMIRNA HOLDINGS LTD. reassignment BIOMIRNA HOLDINGS LTD. ASSIGNMENT OF ASSIGNORS INTEREST (SEE DOCUMENT FOR DETAILS). Assignors: BOERI, Mattia, PASTORINO, Ugo, SOZZI, GABRIELLA
Publication of US20120225925A1 publication Critical patent/US20120225925A1/en
Priority to US14/310,787 priority patent/US9926603B2/en
Priority to US15/927,411 priority patent/US20190062843A1/en
Priority to US16/856,255 priority patent/US20210130905A1/en
Abandoned legal-status Critical Current

Links

Images

Classifications

    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q1/00—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions
    • C12Q1/68—Measuring or testing processes involving enzymes, nucleic acids or microorganisms; Compositions therefor; Processes of preparing such compositions involving nucleic acids
    • C12Q1/6876—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes
    • C12Q1/6883—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material
    • C12Q1/6886—Nucleic acid products used in the analysis of nucleic acids, e.g. primers or probes for diseases caused by alterations of genetic material for cancer
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
    • A61P3/00—Drugs for disorders of the metabolism
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61P—SPECIFIC THERAPEUTIC ACTIVITY OF CHEMICAL COMPOUNDS OR MEDICINAL PREPARATIONS
    • A61P35/00—Antineoplastic agents
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16B—BIOINFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR GENETIC OR PROTEIN-RELATED DATA PROCESSING IN COMPUTATIONAL MOLECULAR BIOLOGY
    • G16B30/00—ICT specially adapted for sequence analysis involving nucleotides or amino acids
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/118—Prognosis of disease development
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/158—Expression markers
    • C—CHEMISTRY; METALLURGY
    • C12—BIOCHEMISTRY; BEER; SPIRITS; WINE; VINEGAR; MICROBIOLOGY; ENZYMOLOGY; MUTATION OR GENETIC ENGINEERING
    • C12Q—MEASURING OR TESTING PROCESSES INVOLVING ENZYMES, NUCLEIC ACIDS OR MICROORGANISMS; COMPOSITIONS OR TEST PAPERS THEREFOR; PROCESSES OF PREPARING SUCH COMPOSITIONS; CONDITION-RESPONSIVE CONTROL IN MICROBIOLOGICAL OR ENZYMOLOGICAL PROCESSES
    • C12Q2600/00—Oligonucleotides characterized by their use
    • C12Q2600/178—Oligonucleotides characterized by their use miRNA, siRNA or ncRNA

Definitions

  • the present invention concerns methods for identifying and using, in pre-diagnostic and/or diagnostic stages, special molecular bio-markers identifiable in biological samples, such as for example whole blood, serum, plasma, saliva or bronchia condensate collected from an individual.
  • the invention relates to methods for identifying individuals at risk of tumour, in particular pulmonary tumour.
  • the invention also concerns methods for determining a presence and/or level of aggressiveness of a tumour, for example a pulmonary tumour, in an individual.
  • the invention also relates to diagnostic kits and apparatus usable for setting up one or more stages of the methods.
  • the invention concerns methods and pharmaceutical compounds for treating an individual in whom presence of a tumour has been diagnosed, for example a pulmonary tumour.
  • the invention also concerns methods and pharmaceutical compounds for treating an individual in whom a risk of developing a tumour has been identified, for example a pulmonary tumour, for reducing and/or eliminating the risk of developing a tumour.
  • tumours are one of the main causes of death in the world.
  • pulmonary tumours are the highest in terms of incidence, as they represent about 12% of all the new cases of cancer, and constitute the main cause of death by cancer in the world, in both men and women.
  • tumour markers available today are for diagnostic use, i.e. they identify the patients when the disease has already developed such as to be identifiable with imaging methods (spiral CT scan). These markers are however few and not specific and essentially comprise biochemical markers such as the evaluation of the protein CEA (Carcinoembryonic Antigene) and some cytokeratins such as TPA, TPS and Cyfra 21.1.
  • CEA Carcinoembryonic Antigene
  • TPA TPA
  • TPS Cyfra 21.1
  • proteomic test 5-protein profile
  • Vermillion Inc. a proteomic test on the serum, at present proposed by Vermillion Inc. and used to indicate a probability (score from 1 to 10) that ovarian masses might be of a malignant nature. This test is used for women who already present ovarian masses of a non-defined nature.
  • NSCLC Non-small-cell lung carcinoma
  • NSCLC non-small-cell lung carcinoma
  • MiRNAs are small non-coding RNA molecules (length 19-25 nucleotides) having a regulatory function which are able to modulate the expression of several target genes involved in various molecular mechanisms, among which those involved in transformation processes.
  • miRNA possess a high degree of stability, ease of detection and association with known clinical-pathological parameters (Lu Jet al., Nature, 2005).
  • Circulating miRNAs are detectable and quantifiable and the studies which have taken their levels in oncological patients' biological fluids under examination have reported that some of them present deregulated levels with respect to healthy individuals (Heneghan H M et al., Ann Surg, 2010; Mitchell P S et al., Proc Natl Acad Sci USA, 2008; Chen X, Cell Res, 2008).
  • the aim of the present invention is to obviate one or more of the limitations in the known procedures and products.
  • a further aim of the invention is to make available procedures which assist in the diagnosis of tumour, in particular pulmonary tumours, in human subjects.
  • a further aim of the invention is to make available procedures which can be easily set up in laboratories, by analyzing biological samples collected from an individual.
  • a further aim of the invention is to provide procedures which enable satisfactory results to be obtained using samples of blood, serum or plasma.
  • a further aim of the invention is to define diagnostic kits and/or apparatus usable in the above-cited procedures in order to identify human subjects who are at risk of contracting a tumour and/or for assisting in the diagnosis of tumours present in human subjects.
  • a further aim of the invention is to provide pharmaceutical compounds and/or treatments which can be used to treat an individual in whom the presence of a pulmonary tumour has been diagnosed.
  • a final aim of the invention is to provide pharmaceutical compounds and/or treatments for reducing and/or eliminating the risk of developing a pulmonary tumour.
  • One or more of the set aims are substantially attained by a method and/or a kit and/or a compound and/or an apparatus in accordance with one or more of the accompanying claims.
  • a first aspect concerns a procedure for identifying individuals at risk of a pulmonary tumour, the procedure comprising steps of: measuring, in at least a sample of biological fluid previously collected from a subject, a value of the level of expression of a plurality of microRNA molecules; determining when the measured values of the level of expression deviate with respect to a predetermined and respective control criterion.
  • microRNA or miRNA molecules are thus used for identifying individuals at risk or in a stage in which the tumour has not yet manifested.
  • the step of determining comprises determining the level of expression of at least six miRNA from the miRNA listed in Tables Ia, Ic, Ha or He in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample.
  • determining may comprise determining—in a biological sample from a subject—the level of expression of the six miRNA listed in Table Ib or Id or the level of expression of the six miRNA listed in Table IIb or IId, and comparing the level of expression of said six miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least six miRNA in said biological sample from said control biological sample identifies a subject at risk of manifesting a tumor (Table 1b or Id miRNA are used) or an aggressive tumor (Table IIb or lid miRNA are used).
  • the step of determining comprises substeps of calculating a plurality of ratios or real differences determined by performing the ratio or respectively the difference between the measured values of the levels of expression of a predetermined number of pairs of the microRNA molecules, comparing each of the real ratios or differences with a respective control value, determining the real ratios or differences which deviate from the respective ratio value or control difference.
  • a step is also included of determining a number or percentage of real ratios or differences which deviate from the respective control value and defining as an individual at risk an individual for whom at least a predetermined number or a predetermined percentage of the real ratios or differences deviates with respect to the respective ratio value or control difference.
  • a respective control ratio is associated represented by the ratio of the expression values for the microRNAs in a control sample relating to a biological fluid of the same type.
  • the control ratio is in reality either a known value, or a determined value as a mean of measured values in a sufficiently large population of individuals, or a value relating to a fluid sample collected from a healthy individual.
  • the procedure comprises the step of correlating the deviation of a predetermined number or a predetermined percentage of expression levels (i.e. real ratios or differences) with respect to the corresponding control criteria in the presence or absence of risk that the individual clinically presents a pulmonary tumour in a predetermined time.
  • the predetermined time is comprised between one and three years, more optionally is comprised between 12 and 28 months.
  • the method of the invention is able to significantly anticipate the determination of the risk of contracting a tumour with respect to traditional techniques (such as spiral CT) which have to wait for the disease to manifest at the level of lacerations or nodules of various mm.
  • the procedure comprises a step of correlating the deviation of a predetermined number or a predetermined percentage of expression level with respect to the corresponding control criteria to the presence or absence of risk which the individual manifests clinically an aggressive pulmonary tumour in a predetermined time.
  • the predetermined time is comprised between one and three years, more optionally between 12 and 28 months.
  • the method of the invention is able to significantly anticipate the determination of the risk of contracting an aggressive tumour with respect to the traditional techniques (such as spiral CT) which have to wait for the disease to manifest at the level of lacerations or nodules or various mm.
  • calculating the plurality of real ratios or differences comprises using the expression values of a predetermined number or a predetermined percentage of the miRNAs of Table Ia, Ic, IIa and/or of Table IIc, optionally using the expression values of the miRNAs of Table Ib, Id, IIb and/or of Table IId.
  • calculating the plurality of real ratios or differences comprises using the expression values of a predetermined number or a predetermined percentage of the miRNAs of Table Ia or Ic.
  • calculating the plurality of real ratios or differences comprises using the expression values of a predetermined number or a predetermined percentage of the miRNA of Table IIa or IIc.
  • calculating the plurality of real ratios comprises determining a predetermined number or a predetermined percentage of ratios among the values of the expression levels, the ratios being selected from the group comprising ratios between values of expression levels of pairs of microRNA as in Table IIIa or IIIc, optionally in which at least 20% are determined, more optionally at least 50% and still more optionally all the ratios of Table IIIa or IIIc.
  • determining a predetermined number or a predetermined percentage of ratios comprises calculating at least 20% of the real ratios of Table IIIa or IIIc and in which it comprises a step of defining as an individual at risk of pulmonary tumour, optionally in a period comprised between one and three years from a collection of the sample of biological fluid, an individual for whom at least 30%, optionally at least 50% of the real ratios calculated deviates with respect to the respective control ratio value.
  • calculating the plurality of real ratios comprises determining a predetermined number or a predetermined percentage of ratios among the values of the expression levels, the ratios being selected from the group comprising ratios between values of expression levels of pairs of microRNAs as in Table IVa or IVc, optionally in which at least 30% are determined, more optionally at least 50%, and still more optionally all the ratios of Table IVa or IVc.
  • determining a predetermined number or a predetermined percentage of ratios comprises calculating at least 30% of the real ratios as in Table IVa or IVc, and wherein the procedure comprises a step of defining as an individual at risk of aggressive pulmonary tumour, optionally in a period comprised between one and three years from collecting a sample of biological fluid, an individual for whom at least 50%, optionally at least 75% of the real ratios calculated deviates with respect to the respective control ratio value.
  • the ratios are those of Table IVb or IVd.
  • the steps of the procedure are conducted in vitro.
  • the biological fluid is one selected from a group comprising: whole blood, a fraction of blood, plasma, serum.
  • the pulmonary tumour is one selected from the group comprising: small-cell lung cancer (SCLC), non small-cell lung cancer (NSCLC), pulmonary adenocarcinoma (ADC), bronchio-alveolar carcinoma (BAC), squamous-cell lung carcinoma (SCC), large-cell carcinoma (LC).
  • SCLC small-cell lung cancer
  • NSCLC non small-cell lung cancer
  • ADC pulmonary adenocarcinoma
  • BAC bronchio-alveolar carcinoma
  • SCC squamous-cell lung carcinoma
  • LC large-cell carcinoma
  • the sample of biological fluid originates from a smoker individual who, at the moment of the collection of the sample, does not present a pulmonary tumour if subjected to imaging diagnostic methods, in particular the smoker individual not presenting nodules of dimensions of greater than 5 mm if subjected to a spiral CT scan.
  • a twenty-third aspect concerns a medical kit for determining biomolecular markers present in a sample of human biological fluid, the kit comprising a platform having a plurality of sites, each of which is destined to receive a respective discrete quantity of the sample of biological fluid, each of the sites comprising a reagent capable of bonding with at least a respective microRNA of Table Ia, Ic, IIa and/or Table IIc, optionally wherein each of the sites comprises a reagent capable of bonding with at least a respective microRNA of Table Ib, Id, IIb and/or Table IId.
  • the reagent includes at least a reagent selected from among the group comprising: a polynucleotide comprising a nucleotide sequence of at least one of the microRNAs as in Table Ia, Ic, Ha and/or Table IIc, optionally as in Table Ib, Id, IIb and/or Table IId; a polynucleotide comprising a nucleotide sequence which is complementary to a sequence of at least one of the microRNAs as in Table Ia, Ic, IIa and/or Table IIc, optionally as in Table Ib, Id, IIb and/or Table IId; a molecular probe configured such as to recognize a sequence of at least one of the microRNAs as in Table Ia, Ic, IIa and/or Table IIc, optionally as in Table Ib, Id, IIb and/or Table IId.
  • a twenty-fifth aspect concerns a medical apparatus comprising: a unit defining a seating for receiving one or more of the kits of aspects 23 rd or 24 th ; means for determining a value of the level of expression of the microRNAs as in Table Ia, Ic, IIa and/or Table IIc; means for calculating the values of the real ratios from among the values of levels of expression of pairs of microRNAs, the ratios being selected from those in Table IIa, IIc, IVa and/or Table IVd, optionally those ratios of Table Ib, IId, IVb and/or those of Table IVd.
  • the means for determining the value of the expression level comprise one of the techniques selected from the group: Quantitative Real-time PCR, Microfluidic cards, Microarrays, RT-PCR, quantitative or semi-quantitative, Northern blot, Solution Hybridization, or Sequencing.
  • a twenty-eighth aspect comprises an in vitro procedure for identifying individuals at risk of tumour and/or for determining a presence of and/or an aggressiveness of a tumour in an individual, the process comprising steps of: measuring, in at least a sample of biological fluid previously collected from a subject, a value of a level of expression of a plurality of microRNA molecules; calculating a plurality of real ratios determined by calculating a ratio between the measured values of the levels of expression of a predetermined number of pairs of the microRNA molecules; comparing each of the real ratios with a respective control value.
  • the process comprises determining a number or percentage of real ratios which deviate from the respective control value, defining, as an individual presenting a form of tumour, an individual for whom at least a predetermined number or a predetermined percentage of the real ratios deviates with respect to the respective control ratio value.
  • a respective control ratio is associated to each of the calculated ratios, represented by a ratio of the values of expression for the microRNAs in a control sample relative to a biological fluid of a same type.
  • calculating the plurality of real ratios comprises using the values of expression of a predetermined number of the miRNAs as in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc.
  • calculating the plurality of real ratios comprises determining a predetermined number or a predetermined percentage of ratios from among the values of the levels of expression, the ratios being selected from among the group comprising ratios as in Table IIIa, IIIc, IVa, and/or Table IVc and/or in Table VIIa, VIIc, VIIIa and/or in Table VIIIc.
  • determining a predetermined number or a predetermined percentage of ratios comprises calculating at least 20% of the real ratios of Table VIIa or VIIc and comprises a step of defining as an individual presenting a pulmonary tumour an individual for whom at least 30% of the predetermined number of real ratios as in Table VIIa or VIIc which have been calculated deviate with respect to the control value.
  • determining a predetermined number or a predetermined percentage of ratios comprises calculating at least 20% of the real ratios of Table VIIIa or VIIIc and comprises a step of defining as an individual presenting an aggressive pulmonary tumour an individual in whom 50%, optionally at least 60%, of the real ratios which have been calculated deviate with respect to the respective control value.
  • determining the predetermined number or a predetermined percentage of ratios comprises calculating at least 20% of the real ratios of Table IIa or IIc and comprises a step of defining as an individual at risk of a pulmonary tumour, optionally in a period comprised between one and three years from a collection of the sample of biological fluid, an individual for whom at least 30%, optionally at least 50%, of the real ratios calculated deviate with respect to the respective control ratio value.
  • determining the predetermined number or a predetermined percentage of ratios comprises calculating at least 30% of the real ratios of Table IVa or IVc and comprises a step of defining as an individual at risk of an aggressive pulmonary tumour, optionally in a period comprised between one and three years from a collection of the sample of biological fluid, an individual for whom at least 50%, optionally at least 75%, of the real ratios calculated deviate with respect to the respective control ratio value.
  • determining a predetermined number or a predetermined percentage of ratios comprises calculating the real ratios of Table VIIb or VIId and wherein the procedure comprises a step of defining as an individual presenting a pulmonary tumor an individual for whom at least 80% of the real ratios as in Table VIIb or VIId which have been calculated deviate with respect to the control value.
  • determining a predetermined number or a predetermined percentage of ratios comprises calculating the real ratios of Table VIIIb or VIIId and wherein the procedure comprises a step of defining as an individual presenting an aggressive pulmonary tumor an individual for whom at least 80% of the real ratios as in Table VIIIb or VIIId which have been calculated deviate with respect to the control value.
  • determining a predetermined number or a predetermined percentage of ratios comprises calculating the real ratios of Table IIIb or IIId and wherein the procedure comprises a step of defining as individual at risk of a pulmonary tumour, optionally in a period comprised between one and three years from a collection of the sample of biological fluid, an individual for whom at least 80% of the real ratios as in Table IIIb or IIId which have been calculated deviate with respect to the control value.
  • determining a predetermined number or a predetermined percentage of ratios comprises calculating the real ratios of Table IVb or IVd and wherein the procedure comprises a step of defining as individual at risk of an aggressive pulmonary tumour, optionally in a period comprised between one and three years from a collection of the sample of biological fluid, an individual for whom at least 80% of the real ratios as in Table IVb or IVd which have been calculated deviate with respect to the control value.
  • the biological fluid is one selected from among a group comprising: whole blood, a fraction of blood, plasma, serum; saliva or bronchial condensate.
  • the tumour is a pulmonary tumour selected from among a group comprising: small-cell lung cancer (SCLC), non small-cell lung cancer (NSCLC), pulmonary adenocarcinoma (ADC), bronchio-alveolar carcinoma (BAC), squamous-cell lung carcinoma (SCC), large-cell carcinoma (LC).
  • SCLC small-cell lung cancer
  • NSCLC non small-cell lung cancer
  • ADC pulmonary adenocarcinoma
  • BAC bronchio-alveolar carcinoma
  • SCC squamous-cell lung carcinoma
  • LC large-cell carcinoma
  • the sample of biological fluid originates from a smoker individual who, at the moment of the collection of the sample, presents a pulmonary tumour if subjected to imaging diagnostic methods, in particular the smoker individual presenting nodules of dimensions of greater than 5 mm if subjected to a spiral CT scan.
  • a medical kit for determining bio-molecular markers present in a sample of human biological fluid, the kit comprising: a platform, for example a support for receiving fluid samples, having a plurality of sites, each of which is destined to receive a respective discrete quantity of the sample of biological fluid, each of the sites comprising a reagent capable of bonding with at least a respective microRNA of Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, optionally a reagent capable of bonding with at least a respective microRNA as in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId.
  • a platform for example a support for receiving fluid samples, having a plurality of sites, each of which is destined to receive a respective discrete quantity of the sample of biological fluid, each of the sites comprising a reagent capable of bonding with at least a respective microRNA of Table I
  • the reagent includes at least a reagent selected from among a group comprising:
  • a polynucleotide comprising a nucleotide sequence of at least one of the microRNAs as in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, or a nucleotide sequence of at least one of the microRNAs as in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId;
  • a polynucleotide comprising a nucleotide sequence which is complementary to a sequence of at least one of the microRNAs as in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, optionally comprising a nucleotide sequence which is complementary to a sequence of at least one of the microRNAs as in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId;
  • a molecular probe configured such as to recognize a sequence of at least one of the microRNAs as in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, optionally a sequence of at least one of the microRNAs as in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId.
  • a medical apparatus comprising: a unit defining a seating for receiving one or more of the kits of the preceding claim, means for determining a value of the level of expression of the microRNAs as in Tables Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, optionally the value of the level of expression of the microRNA as in Tables Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId; means for calculating the values of the real ratios from among the values of levels of expression of pairs of microRNAs, the ratios being selected from those in Tables IIIa, IIIc, IVa and/or Table IVc and/or Table VIIa, VIII, VIIIa and/or Table VIIIc, optionally from those in Tables IIb, IIId, IVb and/or Table IVd and/or Table VIIb, VIId, VIIIb and/or Table VIIId.
  • the means for determining the value of the level of expression comprise one from among the techniques selected from a group as follows: Quantitative Real-time PCR, Microfluidic cards, Microarrays, RT-PCR, quantitative or semi-quantitative, Northern blot, Solution Hybridization, or Sequencing.
  • a method for treating an individual in whom a presence of a pulmonary tumour has been diagnosed or in whom a risk of developing a pulmonary tumour has been identified, respectively for treatment of the pulmonary tumour or for reducing and/or eliminating the risk of developing a pulmonary tumour, the method comprising following steps: measuring a level of expression of at least an miRNA listed in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc present in a sample of biological fluid previously taken from the individual, determining the miRNAs having measured values of a level of expression which deviate with respect to a predetermined and respective control criterion; altering the level of expression of the miRNAs for which the levels of expression deviate with respect to the respective control criterion.
  • the step of measuring comprises measuring a level of expression of at least a miRNA listed in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId present in a sample of biological fluid previously taken from the individual.
  • the step of altering the level of expression of the miRNAs comprises: administering to the individual an effective quantity of at least one of the miRNAs listed in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, or of one of more of the miRNA listed in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId, if the level of expression measured of the miRNA or the miRNAs is lower than a respective control level of expression
  • the step of altering the level of expression of the miRNAs comprises administering to the individual an effective quantity of at least a compound for inhibiting the expression of at least one of the miRNAs listed in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, or listed in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId, if the measured level of expression of one or more of the miRNA or miRNAs is higher than the control level of expression.
  • the method comprises restoring the values of levels of expression to a control level of expression for the miRNAs which are under-expressed with respect to the respective control level of expression.
  • the method comprises administering a therapeutically effective quantity of a compound comprising at least one of the miRNAs of Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, optionally at least one of the miRNA listed in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId, chemically synthesized (miRNA mimetics) or recombinant.
  • a compound comprising at least one of the miRNAs of Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, optionally at least one of the miRNA listed in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId, chemically synthesized (miRNA mimetics) or recombinant.
  • the method comprises reducing the values of the level of expression to the control level of expression for miRNAs which are over-expressed with respect to the respective control level of expression.
  • the method comprises administering a therapeutically effective quantity of a compound comprising at least an inhibitor of a microRNA of Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc or Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId.
  • the inhibitor comprises double-filament RNA.
  • the method comprises short interfering RNA (siRNA), antisense nucleic acids (anti-miRNA oligonucleotides (AMOs), molecules of enzymatic RNA (ribozymes).
  • siRNA short interfering RNA
  • AMOs antisense nucleic acids
  • ribozymes molecules of enzymatic RNA
  • the inhibitor is directed to a specific product of microRNA and interferes with the expression, for example by means of inhibition of a translation or induction of degradation, of a target gene of the microRNA.
  • the step of determining the miRNAs having measured values of the levels of expression which deviate with respect to the respective control criterion comprises: calculating a plurality of real ratios determined by performing a ratio between the measured values of the levels of expression of a predetermined number of pairs of the microRNA molecules, the ratios being selected from a group comprising the ratios as in Table IIa, IIIc, IVa and/or Table IVc and/or Table VIIa, VIII, VIIIa and/or Table VIIIc, optionally the ratios being selected from a group comprising the ratios as in and/or Table IIIb, IIId, IVb and/or Table IVd and/or Table VIIb, VIId, VIIIb and/or Table VIIId, determining the real ratios which deviate from the respective control values, identifying the miRNAs involved in the real ratios which deviate from the respective control value.
  • a sixtieth aspect concerns a pharmaceutical compound for treating an individual in whom has been diagnosed a pulmonary tumour or in whom a risk of developing a pulmonary tumour has been identified, respectively for treatment of the pulmonary tumour or for reducing and/or eliminating the risk of developing a pulmonary tumour, the compound comprising: at least one, optionally at least six, of the miRNAs listed in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, and/or at least an inhibitor of the expression of at least one, optionally at least six, of the miRNAs listed in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc.
  • the compound comprises a therapeutically effective quantity of at least one of the miRNAs listed in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc.
  • a sixty-second aspect concerns a pharmaceutical compound for treating an individual in whom has been diagnosed a pulmonary tumour or in whom a risk of developing a pulmonary tumour has been identified, respectively for treatment of the pulmonary tumour or for reducing and/or eliminating the risk of developing a pulmonary tumour, the compound comprising: at least one, optionally at least six, of the miRNAs listed in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId, and/or at least an inhibitor of the expression of at least one, optionally of at least six, of the miRNAs listed in Table Ib, Id, IIb and/or Table Hd, and/or Table Vb, Vd, VIb and/or Table VId.
  • the compound comprises a therapeutically effective quantity of at least one, optionally of at least six, of the miRNAs listed in Table Ib, Id, Ith and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId.
  • the quantity is able, for the miRNAs that are under-expressed with respect to the respective control level of expression, to restore the values of the level of expression to the respective control level of expression.
  • the therapeutically effective quantity comprises miRNA of Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table VIc, optionally the therapeutically effective quantity comprises the miRNA of Table Ib, Id, Ith and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId, chemically synthesized or recombinant.
  • the compound comprises a therapeutically effective quantity of the inhibitor of the expression of at least one of the miRNAs listed in Table Ia, Ic, IIa and/or Table IIc and/or Table Va, Vc, VIa and/or Table Vic, optionally all those listed in Table Ib, Id, IIb and/or Table IId, and/or Table Vb, Vd, VIb and/or Table VId, the quantity being able, for the over-expressed miRNAs with respect to the respective control level of expression, to reduce the values of the level of expression to the respective control level of expression.
  • the inhibitor comprises double-filament RNA, optionally short interfering RNA (siRNA), and/or antisense nucleic acids, and/or enzymatic RNA molecules (ribozymes).
  • siRNA short interfering RNA
  • ribozymes enzymatic RNA molecules
  • the inhibitor is directed to a specific product of microRNA and interferes with the expression (by means of inhibition of translation or induction of degradation) of a target gene of the microRNA.
  • a pharmaceutical compound is provided according to any one of claims from the 60 th to the 68 th , for preparation of a medicament usable in one of the therapeutic methods of any one of aspects from the 48 th to 59 th .
  • the therapeutic method is a method for treating an individual in whom a presence of a pulmonary tumour has been diagnosed.
  • the therapeutic method is a method for treating an individual in whom a risk of developing a pulmonary tumour has been identified, in order to reduce and/or eliminate the risk of developing the pulmonary tumour.
  • real differences are determined by performing the difference between the measured values of the expression levels of a predetermined number of pairs of the molecules of microRNA. In this case each of the differences is compared with a respective control value in order to determine the differences which deviate from the respective control value.
  • FIG. 1 is a schematic showing the clinical-pathological characteristics of patients from training and validation sets selected for miRNA expression analysis in plasma samples.
  • FIG. 2 is a graph showing a Kaplan-Meier survival curve of patients with or without the signature of risk of aggressive disease.
  • FIG. 3 is a graph showing a Kaplan-Meier survival curve of patients with or without the signatures for presence of aggressive disease.
  • FIG. 4 is a series of ratios and graphs showing miRNA expression analyses in plasma samples collected before the onset and at the time of disease.
  • the signatures of miRNA ratios and their direction in the analyses are listed in the tables.
  • Panel A shows miRNA signature of risk to develop lung cancer.
  • Panel B shows miRNA signature of lung cancer diagnosis.
  • the ROC curves of samples belonging to the validation set are shown.
  • Panel C shows Kaplan-Meier survival curves of patients with miRNA signatures of risk of aggressive disease (RAD) in plasma samples collected 1-2 y before CT-detection of lung cancer.
  • Panel D shows Kaplan-Meier survival curves of patients with miRNA signatures of presence of aggressive disease (PAD) in plasma samples collected at the time of CT-detected lung cancer.
  • FIG. 5 is two graphs showing the risk of manifesting a pulmonary tumor (validation set).
  • Left Panel shows the ROC curve when using the 15 miRNAs of Table Ito create the 30 ratios of Table III.
  • Right Panel shows the ROC curve when using the 6 miRNAs of Table Ib to create the 9 ratios of Table IIb.
  • FIG. 6 is two graphs showing the risk of manifesting an aggressive pulmonary tumor (validation set). Left panel shows the ROC curve when using the 16 miRNAs of Table II to create the 28 ratios of Table IV. Right panel shows the ROC curve when using the 6 miRNAs of Table IIb to create the 9 ratios of Table IVb.
  • FIG. 7 is two graphs showing the risk of manifesting an aggressive pulmonary tumor (validation set). Left panel shows the ROC curve when using the 18 miRNAs of Table V to create the 36 ratios of Table VII. Right panel shows the ROC curve when using the 6 miRNAs of Table Vb to create the 9 ratios of Table VIIb.
  • FIG. 8 is two graphs showing the risk of manifesting an aggressive pulmonary tumor (validation set). Left panel shows the ROC curve when using the 10 miRNAs of Table VI to create the 16 ratios of Table VIII. Right panel shows the ROC curve when using the 6 miRNAs of Table VIb to create the 9 ratios of Table VIIIb.
  • FIG. 9 is a graph showing the expression levels of mir-486-5p and mir-660 in 20 paired tumor and normal lung tissue of the same patients.
  • FIG. 10 is a graph showing the results of a proliferation assay performed on A549-GFP cells transfected with the miRNA mimic mir-486-5p and mir-660.
  • FIG. 11 is a graph showing the results of a migration assay performed on A549-GFP cells transfected with the miRNA mimic mir-486-5p and mir-660.
  • FIG. 12 is two graph showing Kaplan-Meier estimates of observed 5-y survival in CT-screening INT-IEO trial.
  • Panel A shows data arranged according to the extent of disease: 92% for stage I (95% CI: 70.0-97.8) and 7% for stage II-IV (95% CI: 0.5-27.5, P ⁇ 0.001).
  • FIG. 14A is a diagram showing sample collection and analysis in the training set.
  • FIG. 14B is a diagram showing sample collection and analysis in the validation set.
  • FIG. 14C is a diagram showing sample collection and analysis in an enlarged data set.
  • FIG. 15 is a series of graphs showing consistency of miRNA expression measurement in plasma samples by quantitative real-time PCR considering only the 100 miRNAs selected for class comparison analysis.
  • Panel A shows that technical duplicates were performed for two patient samples (341 and 380) and for a control pool (M2). The graphical representation was performed plotting the first miRNA values obtained on abscissa (duplicate A) and the values obtained in the second evaluation in ordinate (duplicate B). The linear regression value shows a good reproducibility of measurements.
  • Panel B shows the correlation between two different control pools.
  • Panel C is a graphical representation of average values of all Pearson correlation coefficients between control pools, technical duplicates, and between all patient samples (before and at time of disease.
  • FIG. 16A is graph showing the number of miRNA and ratio of miRNA for a signature of risk.
  • FIG. 16B is graph showing the number of miRNA and ratio of miRNA for a signature of aggressive risk.
  • FIG. 16C is graph showing the number of miRNA and ratio of miRNA for a signature of diagnosis.
  • FIG. 16D is graph showing the number of miRNA and ratio of miRNA for a signature of aggressive disease.
  • FIG. 17 is a flow-chart illustrating the use of miRNA and the ratio of miRNA from a patient in the signatures of risk, aggressive risk, diagnosis and aggressive disease.
  • the present invention provides methods comprising determining the level of expression of at least two miRNA, or at least six miRNA, from the miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample.
  • the present invention provides methods comprising determining the level of expression of at least two miRNA, or at least six miRNA, listed in Table Ib or Id in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least two miRNA in said biological sample from said control biological sample identifies a subject at risk of manifesting a tumor.
  • the miRNA can be the miRNA listed in Table Ie.
  • the tumor cannot be detected by CT spiral scan.
  • the present invention provides methods comprising determining the level of expression of at least two miRNA, or at least six miRNA, listed in Table IIb or IId in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least two miRNA in said biological sample from said control biological sample identifies a subject at risk of manifesting an aggressive tumor.
  • the miRNA can be the miRNA listed in Tables IIe, IIf or IIg.
  • the present invention provides methods comprising determining the level of expression of at least two miRNA, or at least six miRNA, listed in Table Vb or Vd in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least two miRNA in said biological sample from said control biological sample determines the presence of a tumor in said subject.
  • the miRNA can be the miRNA listed in Tables Ve or Vf.
  • the determination of the presence of said tumor confirms detection by CT spiral scan.
  • the present invention provides methods comprising determining the level of expression of at least two miRNA, or at least six miRNA, listed in Table VIb or VId in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least two miRNA in said biological sample from said control biological sample determines the presence of an aggressive tumor in said subject.
  • the miRNA can be the miRNA listed in Tables VIe or VIf.
  • the determination provides a prognosis of disease-free survival following surgical intervention.
  • the methods of the present invention can further comprise calculating a plurality of real quotients by determining a ratio between the level of expression of at least one pair of miRNA from at least two miRNA, or at least six miRNA, listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc; comparing each of the real quotients with a respective control value; and determining the real quotients which deviate from the respective control quotient value.
  • the methods of the present invention can further comprise calculating a plurality of real quotients by determining a ratio between the level of expression of at least one pair of miRNA from at least two miRNA, or at least six miRNA, listed in Tables Ib, Id, IIb, IId, Vb, Vd, VIb or VId; comparing each of the real quotients with a respective control value; and determining the real quotients which deviate from the respective control quotient value.
  • the miRNA can be the miRNA listed in Table Ie, IIe, IIf, IIg, Ve, Vf, VIe or VIf.
  • the methods of the present invention can further comprise determining a number or percentage of real quotients which deviate from the respective control value.
  • the methods of the present invention can further comprise defining as an individual at risk an individual for whom at least a predetermined number or a predetermined percentage of the real quotients deviates with respect to the respective control quotient value.
  • a respective control quotient is associated, represented by a ratio of the levels of expression for the miRNA in a control biological sample relative to a biological sample of a same type.
  • the methods of the present invention can further comprise correlating the deviation of a predetermined number or a predetermined percentage of levels of expression with respect to the corresponding control criteria to a presence or absence of risk that the individual might clinically present with a tumor in a predetermined time.
  • the individual might clinically present an aggressive tumor in a predetermined time.
  • the predetermined time is between one and three years.
  • the predetermined time is within 28 months.
  • Calculating the plurality of real quotients comprises using the expression level of at least two miRNA, or at least six miRNA, listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc.
  • Calculating the plurality of real quotients comprises determining a predetermined number or a predetermined percentage of quotients from among the levels of expression, wherein the quotients are selected from at least one of the quotients, at least two of the quotients, at least six of the quotients, as listed in Tables IIa, IIc, IVa, IVc, VIIa, VIIc, VIIIa, or VIIIc.
  • At least 20%, 30%, 50% or 100% of the real quotients listed in Tables IIIa, IIIc, IVa, IVc, VIIa, VIIc, VIIIa, or VIIIc can be determined The quotients can be selected from the quotients as listed in Tables IIIb, IIId, IVb, IVd, VIIb, VIId, VIIIb, or VIIId.
  • the methods of the present invention can further comprise defining as an individual at risk of a tumor, an individual for whom at least 20%, 30%, 50% or 100% of the real quotients calculated deviate with respect to the respective control quotient value.
  • the individual is at risk of a tumor between one to three years from a collection of the biological sample.
  • the tumor can be an aggressive tumor.
  • the methods of the present invention can further comprise defining as an individual presenting a tumor, an individual for whom at least 20%, 30%, 50%, 60% or 100% of the real quotients calculated deviate with respect to the respective control quotient value.
  • the tumor can be an aggressive tumor.
  • the tumor is a pulmonary tumor.
  • the pulmonary tumor can be small-cell lung cancer (SCLC), non small-cell lung cancer (NSCLC), pulmonary adenocarcinoma (ADC), bronchio-alveolar carcinoma (BAC), squamous-cell lung carcinoma (SCC) or large-cell carcinoma (LC).
  • SCLC small-cell lung cancer
  • NSCLC non small-cell lung cancer
  • ADC pulmonary adenocarcinoma
  • BAC bronchio-alveolar carcinoma
  • SCC squamous-cell lung carcinoma
  • LC large-cell carcinoma
  • the biological sample is a biological fluid.
  • the biological fluid can be whole blood, a fraction of blood, plasma or serum.
  • the biological sample originates from a smoker individual who, at the moment of the collection of the sample, does not present a pulmonary tumor if subjected to imaging diagnostic methods, in particular the smoker individual not presenting nodules of dimensions of greater than 5 mm if subjected to a spiral CT scan.
  • the control biological sample is a biological sample from a disease-free subject.
  • the control biological sample is a biological sample obtained from said subject at a previous time.
  • the control biological sample is obtained from said subject up to three years preceding diagnosis.
  • the control biological sample is a biological sample obtained from a different tissue from said subject.
  • an “individual”, “subject”, “patient” or “subject in need thereof” is an individual having an risk of developing a tumor or an aggressive tumor or one who may have or may be afflicted with a tumor or aggressive tumor. These terms may be utilized interchangeably.
  • the individual is a mammal.
  • the mammal can be e.g., any mammal, e.g., a human, primate, bird, mouse, rat, fowl, dog, cat, cow, horse, goat, camel, sheep or a pig.
  • the mammal is a human.
  • MicroRNA or miRNA is small, non-coding, RNA molecules (length 19-25 nucleotides).
  • the present invention provides methods including: determining the level of expression of the six miRNA listed in Table Ib or Id in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least six miRNA in said biological sample from said control biological sample identifies a subject at risk of manifesting a tumor.
  • the tumor cannot be detected by CT spiral scan.
  • the method can further include: calculating a plurality of real quotients by determining a ratio between the level of expression of at least one pair of miRNA from at least six miRNA listed in Table Ib or Id; comparing each of the real quotients with a respective control value; and determining the real quotients which deviate from the respective control quotient value.
  • the present invention provides miRNAs, in particular those of appended Table Ia or Ic, as molecular biomarkers for the evaluation of the risk of manifesting pulmonary tumours within 1-3 years from the sample collection of biological fluid.
  • the present invention also provides that the ratios among the miRNA expression values are ideal molecular biomarkers for investigation into the evaluation of the risk of contracting a pulmonary tumour within 1-3 years from the sample collection of biological fluid, such as whole blood, serum, plasma, saliva or bronchial condensate.
  • an individual at risk of tumour (aggressive or not according to the case studies): an individual who in the time of reference (1-3 years) following the collection of the biological sample has a risk of over 80% of developing a tumour, for example a pulmonary tumour, detectable using techniques such as spiral CT.
  • the ratios were identified among the values measured of the expression levels relative to the pairs of microRNA listed in Table IIIa or IIIc. These ratios can be used for the evaluation of the risk of contracting pulmonary tumour within 1-3 years from the collection of the sample of biological fluid, giving extremely reliable prediction results.
  • miRNA hsa-miR-451 hsa-miR-320 hsa-miR-660 hsa-miR-92a hsa-miR-106a hsa-miR-140-5p hsa-miR-15b hsa-miR-17 hsa-miR-197 hsa-miR-19b hsa-miR-221 hsa-miR-28-3p hsa-miR-30b hsa-miR-30c hsa-miR-145
  • miRNA hsa-miR-451 hsa-miR-320 hsa-miR-660 hsa-miR-197 hsa-miR-30b hsa-miR-30c
  • miRNA Pairs hsa-miR-30b/hsa-miR-320 hsa-miR-30b/hsa-miR-451 hsa-miR-30b/hsa-miR-660 hsa-miR-197/hsa-miR-451 hsa-miR-197/hsa-miR-660 hsa-miR-197/hsa-miR-320 hsa-miR-30c/hsa-miR-451 hsa-miR-30c/hsa-miR-660 hsa-miR-30c/hsa-miR-30c/hsa-miR-320 hsa-miR-30c/hsa-miR-451 hsa-miR-30c/hsa-miR-660 hsa-miR-30c/hsa-miR-320
  • FIG. 5 shows (on the left hand side) the ROC curve when using the 15 miRNAs of Table Ia to create the 30 ratios of Table IIa and (on the right end side) the ROC curve when using the 6 miRNAs of Table Ib to create the 9 ratios of Table IIIb.
  • miRNA Pairs hsa-miR-197/hsa-miR-660 hsa-miR-197/hsa-miR-92a hsa-miR-17/hsa-miR-660 hsa-miR-17/hsa-miR-92a hsa-miR-197/hsa-miR-451 hsa-miR-17/hsa-miR-451 hsa-miR-19b/hsa-miR-660 hsa-miR-197/hsa-miR-19b hsa-miR-19b/hsa-miR-451
  • miRNA ratios are real ratios determined by performing a ratio among the measured values of the expression levels of predetermined pairs of molecules of microRNA.
  • the present invention provides methods including: determining the level of expression of the six miRNA listed in Table IIb or IId in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least six miRNA in said biological sample from said control biological sample identifies a subject at risk of manifesting an aggressive tumor.
  • the tumor cannot be detected by CT spiral scan.
  • the method can further include: calculating a plurality of real quotients by determining a ratio between the level of expression of at least one pair of miRNA from at least six miRNA listed in Table IIb or IId; comparing each of the real quotients with a respective control value; and determining the real quotients which deviate from the respective control quotient value.
  • the present invention provides the miRNAs, in particular those of appended Table IIa or IIc, as biomarkers for evaluation of the risk of contracting aggressive pulmonary tumour within 1-3 years from the sample collection of biological fluid. Further, in this case too, the ratios between the miRNA expression values were specifically identified as ideal molecular biomarkers to be investigated for the evaluation of the risk of contracting an aggressive pulmonary tumour within 1-3 years from the sample biological fluid collection, which might be whole blood, serum, plasma, saliva or bronchial condensate.
  • the ratios were identified between measure values of expression levels relative to pairs of microRNAs of Table IVa or IVc for evaluation of the risk of contracting an aggressive pulmonary tumour within 1-3 years from the sample collection of biological fluid.
  • a sufficient number of real ratios selected from among the ratios of Table IVa or IVc for example at least 30%, and optionally at least 50%, the progression of the ratios with respect to control ratios can be studied.
  • An individual is defined as at risk of contracting an aggressive pulmonary tumour in a period comprised between one and three years from the collection of the sample of biological fluid, if in that individual at least 50%, optionally at least 75%, of the real ratios calculated deviate with respect to the respective control ratio value.
  • an aggressive tumour is a tumour, for example a pulmonary tumour, with a lethal prognosis or capable of causing death in 90% of patients within five years from diagnosis of the disease.
  • miRNA ratios also enables reliably predicting the development of pulmonary tumour, in particular of the more aggressive form, in high-risk individuals (more than 50 years of age and heavy smokers) up to two years before the disease is at a visible stage with the better imaging techniques at present available (spiral CT). Note also that the method using the calculation of the ratios, or miRNA ratios, described above can be actuated with a simple collection of a blood sample and is therefore entirely non-invasive, and allows the analysis to be performed rapidly and economically.
  • microRNAs used for evaluation of the risk of manifesting an aggressive pulmonary tumour (within 1-3 years from collecting the sample of biological fluid).
  • miRNA Pairs Q1 hsa-miR-221/hsa-miR-660
  • Q2 hsa-miR-221/hsa-miR-486-5p
  • Q3 hsa-miR-221/hsa-miR-451
  • Q4 hsa-miR-140-3p/hsa-miR-221
  • Q5 hsa-miR-21/hsa-miR-221
  • Q6 hsa-miR-101/hsa-miR-221
  • Q7 hsa-miR-197/hsa-miR-660
  • Q8 hsa-miR-197/hsa-miR-486-5p
  • Q9 hsa-miR-140-5p/hsa-
  • miRNA Pairs hsa-miR-221/hsa-miR-660 hsa-miR-28-3p/hsa-miR-660 hsa-miR-19b/hsa-miR-221 hsa-miR-19b/hsa-miR-28-3p hsa-miR-148a/hsa-miR-19b hsa-miR-148a/hsa-miR-486-5p hsa-miR-28-3p/hsa-miR-486-5p hsa-miR-221/hsa-miR-486-5p hsa-miR-221/hsa-miR-486-5p hsa-miR-221/hsa-miR-486-5p hsa-miR-148a/hsa-miR-660
  • FIG. 6 shows (on the left hand side) the ROC curve when using the 16 miRNAs of Table IIa to create the 28 ratios of Table IVa and (on the right end side) the ROC curve when using the 6 miRNAs of Table IIb to create the 9 ratios of Table IVb.
  • miRNA Pairs hsa-miR-101/hsa-miR-197 hsa-miR-197/hsa-miR-451 hsa-miR-101/hsa-miR-28-3p hsa-miR-28-3p/hsa-miR-451 hsa-miR-197/hsa-miR-21 hsa-miR-21/hsa-miR-28-3p hsa-miR-101/hsa-miR-106a hsa-miR-106a/hsa-miR-451 hsa-miR-106a/hsa-miR-21
  • the present invention provides a method including: determining the level of expression of the six miRNA listed in Table Vb or Vd in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least six miRNA in said biological sample from said control biological sample determines the presence of a tumor in said subject.
  • determination of the presence of said tumor confirms detection by CT spiral scan.
  • the method can further include: calculating a plurality of real quotients by determining a ratio between the level of expression of at least one pair of miRNA from at least six miRNA listed in Table Vb or Vd; comparing each of the real quotients with a respective control value; and determining the real quotients which deviate from the respective control quotient value.
  • the present invention provides miRNAs, and in particular those listed in Table Va or Vc, have a role as biomolecular markers for determining the actual presence of a pulmonary tumour in an individual, for diagnostic purposes.
  • the present invention also provides the ratios between expression level values of miRNA pairs are valid biomarkers with a diagnostic and prognostic function.
  • the miRNAs of Table Va or Vc were used for determining the ratios of Table VIIa or VIIc which represent ratios between measured values of expression levels of relative microRNA pairs and which are used to determine the actual presence (diagnosis) of a pulmonary tumour in an individual.
  • the ratios of Table VIIa or VIIc represent ratios between measured values of expression levels of relative microRNA pairs and which are used to determine the actual presence (diagnosis) of a pulmonary tumour in an individual.
  • by calculating at least 20% of the real ratios of Table VIIa or VIIc it is possible to define the individual presents a pulmonary tumour if at least 30% of the real ratios (as in Table VIIa or VIIc) calculated deviate from the respective control value.
  • miRNA hsa-miR-106a hsa-miR-17 hsa-miR-660 hsa-miR-92a hsa-miR-451 hsa-miR-197
  • miRNA Pairs Q1 hsa-miR-17/hsa-miR-451
  • Q2 hsa-miR-106a/hsa-miR-451
  • Q3 hsa-miR-133a/hsa-miR-451
  • Q4 hsa-miR-17/hsa-miR-660
  • Q5 hsa-miR-106a/hsa-miR-660
  • Q6 hsa-miR-197/hsa-miR-451
  • Q7 hsa-miR-133a/hsa-miR-660
  • Q8 hsa-miR-145/hsa-miR-451
  • Q9 hsa-miR-28-3p/hsa-miR-451
  • Q10 hsa-miR-28-3p/hsa-miR-451
  • Q10 h
  • miRNA Pairs hsa-miR-106a/hsa-miR-660 hsa-miR-106a/hsa-miR-92a hsa-miR-106a/hsa-miR-451 hsa-miR-17/hsa-miR-451 hsa-miR-17/hsa-miR-660 hsa-miR-17/hsa-miR-92a hsa-miR-197/hsa-miR-451 hsa-miR-197/hsa-miR-92a hsa-miR-197/hsa-miR-660
  • FIG. 7 shows (on the left hand side) the ROC curve when using the 18 miRNAs of Table Va to create the 36 ratios of Table VIIa and (on the right end side) the ROC curve when using the 6 miRNAs of Table Vb to create the 9 ratios of Table VIIb.
  • miRNA Pairs hsa-miR-197/hsa-miR-660 hsa-miR-197/hsa-miR-92a hsa-miR-106a/hsa-miR-92a hsa-miR-106a/hsa-miR-660 hsa-miR-106a/hsa-miR-197 hsa-miR-142-3p/hsa-miR-197 hsa-miR-140-5p/hsa-miR-197 hsa-miR-142-3p/hsa-miR-28-3p hsa-miR-140-5p/hsa-miR-28-3p hsa-miR-140-5p/hsa-miR-28-3p hsa-miR-140-5p/hsa-miR-28-3p hsa-
  • the present invention provides a method including: determining the level of expression of the six miRNA listed in Table VIb or VId in a biological sample from a subject, and comparing the level of expression of said miRNA from said sample from said subject to the level of expression of said miRNA from a control biological sample, wherein a change or deviation in the level of expression of said at least six miRNA in said biological sample from said control biological sample determines the presence of an aggressive tumor in said subject.
  • the determination provides a prognosis of disease-free survival following surgical intervention.
  • the method can further include: calculating a plurality of real quotients by determining a ratio between the level of expression of at least one pair of miRNA from at least six miRNA listed in Table VIb or VId; comparing each of the real quotients with a respective control value; and determining the real quotients which deviate from the respective control quotient value.
  • the present invention provides miRNAs, and in particular those listed in Table VIa or VIc, that can be used as biomolecular markers for determining the actual presence of an aggressive pulmonary tumour in an individual (prognosis).
  • the present invention demonstrates in particular the ratios between values of expression levels of miRNA pairs are valid biomarkers with a diagnostic and prognostic function even in the case of an aggressive tumour.
  • the miRNAs of Table VIa and VIc were used to determine the ratios of Table VIIIa and VIIIc where there is a list of ratios between the measured values of the expression levels relative to microRNA pairs of Table VIa and VIc used for determining the actual presence of an aggressive pulmonary tumour in an individual.
  • by detecting at least 20% of the real ratios of Table VIIIa and VIIIc it is possible to define an individual having an aggressive pulmonary tumour as one in whom at least 60% of the real ratios that have been calculated deviate with respect to the respective control value.
  • the use of a test based on this method might enable selection of only a sub-group of patients at high risk of developing the disease to be subsequently kept under a more strict control.
  • the ability of the test to predict the patients who will develop a more aggressive disease, frequently not diagnosed by the CT scan enables directing these individuals directly to specific pharmacological programmes (including giving up smoking) and/or the use of more specific diagnostic examinations based on the metabolic-biological characteristics such as PET with various tracers or body MRI, or a different local treatment such as stereotaxic radiotherapy, or other treatments besides.
  • the use of miRNA ratios is an easily-applicable method with a potential current clinical use and which avoids the use of more profound and complex analysis.
  • miRNAs used for determining the actual presence of an aggressive pulmonary tumour in an individual.
  • miRNA hsa-miR-142-3p hsa-miR-21 hsa-miR-221 hsa-miR-660 hsa-miR-19b hsa-miR-486-5p
  • miRNA Pairs Q1 hsa-miR-142-3p/hsa-miR-486-5p
  • Q2 hsa-miR-21/hsa-miR-486-5p
  • Q3 hsa-miR-221/hsa-miR-486-5p
  • Q4 hsa-miR-19b/hsa-miR-21
  • Q5 hsa-miR-19b/hsa-miR-221
  • Q6 hsa-miR-142-3p/hsa-miR-19b
  • Q7 hsa-miR-148a/hsa-miR-486-5p
  • Q8 hsa-miR-15b/hsa-miR-486-5p
  • Q9 hsa-miR-30b/hsa-miR-4
  • miRNA Pairs Q1 hsa-miR-hsa-miR-142-3p/hsa-miR-660 hsa-miR-142-3p/hsa-miR-19b hsa-miR-21/hsa-miR-660 hsa-miR-221/hsa-miR-660 hsa-miR-19b/hsa-miR-21 hsa-miR-19b/hsa-miR-221 hsa-miR-142-3p/hsa-miR-486-5p hsa-miR-221/hsa-miR-486-5p hsa-miR-21/hsa-miR-486-5p
  • FIG. 8 shows (on the left hand side) the ROC curve when using the 10 miRNAs of Table VIa to create the 16 ratios of Table VIIIa and (on the right end side) the ROC curve when using the 6 miRNAs of Table VIb to create the 9 ratios of Table VIIIb.
  • miRNA Pairs hsa-miR-197/hsa-miR-451 hsa-miR-197/hsa-miR-486-5p hsa-miR-106a/hsa-miR-197 hsa-miR-106a/hsa-miR-486-5p hsa-miR-106a/hsa-miR-451 hsa-miR-17/hsa-miR-197 hsa-miR-17/hsa-miR-486-5p hsa-miR-17/hsa-miR-451 hsa-miR-126/hsa-miR-197 hsa-miR-126/hsa-miR-486-5p hsa-miR-miR-451 hsa-miR-126/hsa-miR-197 hsa-miR
  • the miRNA profile of the subject is obtained, it is necessary to determine for each ratio if the value exceed a predetermined cut-off value.
  • the results from the training and validation set show that for the signatures of risk and diagnosis, described above in Tables 111c and VIIc, respectively, at least 30% (e.g., about 10 out of 27) of the ratios must exceed the cut-off to consider the subject positive for the test.
  • risk If a subject is determined to be positive to more than one signature, the most critical one is considered in this order: risk, diagnosis (both low risk), risk of aggressive disease, presence of aggressive disease (both high risk).
  • diagnosis both low risk
  • risk of aggressive disease both high risk
  • a flow chart is shown in FIG. 17 .
  • the method can further comprise altering the level of expression of at least one miRNA, at least two miRNA or at least six miRNA, for which the level of expression changes or deviates, thereby reducing or eliminating the risk of developing a tumor in said subject.
  • the method can further comprise altering the level of expression of at least one miRNA, at least two miRNA or at least six miRNA, for which the level of expression changes or deviates, thereby reducing or eliminating the risk of developing an aggressive tumor in said subject.
  • the method can further comprise altering the level of expression of at least one miRNA, at least two miRNA or at least six miRNA, for which the level of expression changes or deviates, thereby treating a tumor in said subject.
  • the method can further comprise altering the level of expression of at least one miRNA, at least two miRNA or at least six miRNA, for which the level of expression changes or deviates, thereby treating an aggressive tumor in said subject.
  • altering the level of expression of said of at least one miRNA, at least two miRNA or at least six miRNA comprises administering to said subject a therapeutically effective amount of at least one miRNA, at least two miRNA or at least six miRNA, listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, or a chemically synthesized miRNA mimetic or recombinant thereof, if the level of expression of said of at least one miRNA, at least two miRNA or at least six miRNA, is lower than the control level of expression or administering to said subject a therapeutically effective amount of a compound capable of inhibiting the expression of at least one miRNA, at least two miRNA or at least six miRNA, listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, if the level of expression of said of at least one miRNA, at least two miRNA or at least six miRNA, is higher than the control level of expression.
  • the method can comprise increasing the level of expression of said at least one miRNA, at least two miRNA or at least six miRNA, which is under-expressed with respect to the control level of expression.
  • the method can comprise administering a therapeutically effective amount of a composition comprising at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, or a chemically synthesized miRNA mimetic or recombinant thereof.
  • the method can comprise administering a therapeutically effective amount of a composition comprising at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ib, Id, IIb, IId, Vb, Vd, VIb or VId, or a chemically synthesized miRNA mimetic or recombinant thereof.
  • the method can comprise decreasing the level of expression of said at least one miRNA, at least two miRNA or at least six miRNA, which is over-expressed with respect to the control level of expression.
  • the method can comprise administering a therapeutically effective amount of a composition comprising an inhibitor of at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc.
  • the method can comprise administering a therapeutically effective amount of a composition comprising an inhibitor of at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ib, Id, IIb, IId, Vb, Vd, VIb or VId.
  • the inhibitor can comprise double-filament RNA, short interfering RNA (siRNA), antisense nucleic acids, anti-miRNA oligonucleotides (AMOs), molecules of enzymatic RNA, or ribozymes.
  • siRNA short interfering RNA
  • AMOs antisense nucleic acids
  • AMOs anti-miRNA oligonucleotides
  • the present invention also provides pharmaceutical compound comprising at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, chemically synthesized miRNA mimetic or recombinant thereof, or an inhibitor of the expression of at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc and a pharmaceutically acceptable carrier.
  • the present invention also provides pharmaceutical compound comprising at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ib, Id, IIb, IId, Vb, Vd, VIb or VId, chemically synthesized miRNA mimetic or recombinant thereof, or an inhibitor of the expression of at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ib, Id, IIb, IId, Vb, Vd, VIb or VId and a pharmaceutically acceptable carrier.
  • the miRNA are the miRNA listed in Tables Ie, IIe, IIf, IIg, Ve, Vf, VIe or VIf.
  • the present invention provides a method for treating an individual in whom the presence of a pulmonary tumour has been diagnosed or in whom a risk of developing a pulmonary tumour has been diagnosed, respectively for the treatment of the pulmonary tumour or in order to reduce and/or eliminate the risk of developing a pulmonary tumour.
  • the method comprises the following steps of measuring an expression level of at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, present in a sample of biological fluid previously collected from an individual, and then determining the miRNAs having values measured for the expression level which deviate with respect to a predetermined and respective control criterion.
  • the evaluation of the deviation with respect to a control criterion can use the procedures of the miRNA ratios described above for the various cases.
  • the method comprises altering the expression level of the miRNAs whose levels of expression deviate with respect to the respective control criterion.
  • the individual in order to alter the expression level of the miRNAs the individual can be administered with a pharmaceutical compound having an effective quantity of at least one miRNA, at least two miRNA or at least six miRNA of the miRNAs listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc if the expression level measured of the miRNA, or miRNAs, is lower than a respective control expression level.
  • a pharmaceutical compound having an effective quantity of at least a compound for inhibiting the expression of at least one miRNA, at least two miRNA or at least six miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc if and for those miRNAs whose measured expression level is above the control expression level.
  • the values of the expression level can be reset to the control expression level for the underexpressed miRNAs with respect to the respective control level of expression and/or it is possible to reduce the expression level for the overexpressed miRNAs.
  • a therapeutically effective quantity of a compound can be administered which comprises at least one miRNA, at least two miRNA or at least six miRNA of the miRNAs of Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, chemically synthesized (miRNA mimetics) or recombinant.
  • a therapeutically effective quantity of a compound can be administered which comprises at least one miRNA, at least two miRNA or at least six miRNA inhibitor of a microRNA of Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc.
  • the inhibitor comprises, for example, one or more of the following: double-filament RNA, optionally short interfering RNA (siRNA), antisense nucleic acids (anti-miRNA oligonucleotides (AMOs), molecules of enzymatic RNA (ribozymes).
  • siRNA optionally short interfering RNA
  • AMOs antisense nucleic acids
  • AMOs anti-miRNA oligonucleotides
  • ribozymes molecules of enzymatic RNA
  • the administering of the above compounds can for example can be done by means of viral systems or nanoparticles containing microRNA or microRNA inhibitor) linked covalently with lipids or encapsulated liposomes.
  • the compounds can be administered by any means known in the art, including but not limited to, intranasal instillation, inhalation (aerosol), systemic administration (injection or infusion), direct inoculation in the tumour (where present and visible), intrapleuric administration, endopleuric administration or a combination thereof.
  • the present invention provides an article comprising a support having a plurality of sites, wherein each site is capable of receiving a quantity of a biological sample, wherein each of the sites comprises at least one reagent capable of binding with at least one miRNA, at least two miRNA or at least six miRNA, listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc.
  • the reagent can be selected from group consisting of a polynucleotide comprising a nucleotide sequence of at least one miRNA, at least two miRNA, or at least six miRNA, from the miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc; a polynucleotide comprising a nucleotide sequence which is complementary to a sequence of at least one miRNA, at least two miRNA, or at least six miRNA, from the miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc; and a molecular probe configured such as to recognize a sequence of at least one miRNA, at least two miRNA, or at least six miRNA, from the miRNA listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc.
  • the present invention also provides an article comprising a support having a plurality of sites, wherein each site is capable of receiving a quantity of a biological sample, wherein each of the sites comprises at least one reagent capable of binding with at least one miRNA, at least two miRNA or at least six miRNA, listed in Tables Ib, Id, IIb, IId, Vb, Vd, VIb, or VId.
  • the miRNA can be the miRNA listed in Table Ie, IIe, IIf, IIg, Ve, Vf, VIe or VIf.
  • the present invention also provides an apparatus comprising at least one unit capable of receiving at least one of the articles of the present invention; means for determining the level of expression of at least one miRNA, at least two miRNA or at least six miRNA, listed in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, and means for calculating the real quotients from among the levels of expression of at least one pair, at least two pairs, or at least six pairs, of miRNA from the pairs of miRNA listed in Tables IIIa, IIIc, IVa, IVc, VIIa, VIII, VIIIa, or VIIIc.
  • the means for determining the value of the level of expression can be selected from the group consisting of Quantitative Real-time PCR, Microfluidic cards, Microarrays, RT-PCR, quantitative or semi-quantitative, Northern blot, Solution Hybridization, and Sequencing.
  • the present invention provides medical kits useful for effectively and simply applying the methods described above, for determining the risk of contracting a tumour or for tumour diagnosis, for example by using a sample of blood removed from an individual.
  • the kit comprises a platform having a plurality of sites, each of which is destined to receive a respective discrete quantity of the sample of biological fluid (for example whole blood, serum, plasma, saliva or bronchial condensate).
  • the platform can be a support for a micro-fluidic card with the miRNA of interest with channellings for the distribution to the respective sites of a predetermined number of samples of biological fluid.
  • Each site comprises a reagent capable of bonding with at least one miRNA, at least two miRNA or at least six miRNA of the microRNAs of Tables Ia, Ic, IIa or IIc for determining the risk of contracting a tumour or a reagent capable of bonding with at least one miRNA, at least two miRNA or at least six miRNA of the microRNAs of Tables Va, Vc, VIa or VIc for tumour diagnosis, in such a way as to enable detectability with the apparatus described herein below.
  • it can include at least one selected from a group comprising: a polynucleotide comprising a nucleotide sequence of at least one miRNA, at least two miRNA or at least six miRNA of the microRNAs as in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, a polynucleotide comprising a nucleotide sequence which is complementary to a sequence of at least one miRNA, at least two miRNA or at least six miRNA of the microRNAs as in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc, a molecular probe configured such as to recognize a sequence of at least one miRNA, at least two miRNA or at least six miRNA of the microRNAs as in Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc.
  • a molecular probe configured such as to recognize a sequence of at least one miRNA, at least two miRNA
  • the described medical kit can also be used with a medical apparatus comprising a unit defining a seating for receiving one or more kits and means for determining the value of the expression of the microRNAs of Tables Ia, Ic, IIa, IIc, Va, Vc, VIa, or VIc. Determining the value of the expression level can be performed by any means known in the art, including but not limited to, Quantitative Real-time PCR, Microfluidic cards, Microarrays, Quantitative or semi-quantitative RT-PCR, Northern blot, Solution Hybridization, Sequencing or combinations thereof.
  • the apparatus can also exhibit means for calculating the values of the real ratios among values of expression levels of pairs of microRNAs as in Tables IIIa, IIIc, IVa, IVc, VIIa, VIII, VIIIa, or VIIIc.
  • These means can comprise a programme and a processing unit in which the programme contains instructions which when carried out by the processor enable a calculation of the ratios.
  • an analog circuit can be provided which is able to perform the calculations.
  • the present invention provides apparatuses and kits for detecting at least one, at least two, at least three, at least four, at least six or all twenty-four of the miRNA of Table IX.
  • the present invention provides apparatuses and kits for activating or stimulating the activity of or the expression of at least one, at least two, at least three, at least four, at least six or all twenty-four of the miRNA of Table IX.
  • the present invention provides apparatuses and kits for decreasing or inhibiting the activity of or the expression of at least one, at least two, at least three, at least four, at least six or all twenty-four of the miRNA of Table IX.
  • the present invention also provides pharmaceutical compositions for activating or stimulating the activity of or the expression of at least one, at least two, at least three, at least four, at least six or all twenty-four of the miRNA of Table IX.
  • the present invention also provides pharmaceutical compositions for decreasing or inhibiting the activity of or the expression of at least one, at least two, at least three, at least four, at least six or all twenty-four of the miRNA of Table IX.
  • Table X provides a summary of the miRNA for use in all aspects of the present invention.
  • the present invention investigated the expression profile of miRNA in the plasma of individuals enrolled in screening protocols using spiral CT. This investigation was done with the aim of verifying the capability of miRNAs as a new class of biomolecular markers for: prediction of the risk of developing a tumour, in particular a pulmonary tumour, and diagnosis of the tumour, in particular pulmonary tumour, and thus as a prognostic aid for discriminating patients with indolent or aggressive pulmonary lesions.
  • Plasma samples taken from smoker individuals were used, where the individuals were over 50 years old, in a time parameter of between one and two years before detection with CT spiral of the presence of a pulmonary tumour in the same individuals. Also used were samples of plasma collected at the moment of the appearance of the disease (detected using spiral CT). The plasma samples were obtained from patients who had developed a pulmonary tumour with various characteristics in terms of clinical aggressiveness (indolent nodules or advanced and metastatic tumours) as well as from individuals who remained free of disease for the whole duration of the screening.
  • the inventors then thought of no longer using the values of the expression levels of the single microRNAs, but instead the ratios among pairs thereof.
  • the value of the cycle threshold (Ct) obtained by qReal-Time PCR with the SDS 2.2.2® software (Applied Biosystems) was transformed into the corresponding expression value (2 ⁇ Ct ).
  • the ratio between the value of the expression level of each pair of microRNAs possible was calculated, obtaining 4950 total ratios: the 4950 total ratios were given by the formula 100*99/2 as the ratio between two miRNAs and the reciprocal contain the same data.
  • miRNA ratios variation of these ratios in the plasma of the various classes of patients was analysed in order to identify plasma biomarkers.
  • microRNAs present in the greatest amount in the ratios discriminating among the classes of patients are the same as those which emerge from the analyses performed by normalizing on the mean value of the expression levels of the 100 microRNAs for each individual, thus validating the method based on the miRNA ratios for quantifying the involved microRNAs.
  • the inventors studied the expression profile of microRNAs circulating in collected samples up to two years preceding the diagnosis of the disease and at the moment of surgery in patients of two independent clinical trials, as mentioned above, for early diagnosis of pulmonary tumour in high-risk individuals (age >50 years and smokers) using spiral CT.
  • the miRNA expression levels were analysed using TaqMan MicroRNA Assays (Applied Biosystems) with the aim of identifying the significantly-different miRNA ratios (p ⁇ 0.05) between samples of plasma collected pre-disease, at the moment of surgery and from healthy individuals.
  • the specificity and sensitivity of the signatures of microRNAs thus obtained were compared with the validation set composed, as described above, of 32 plasma samples of 22 patients and 54 plasma samples of healthy control individuals, grouped in 10 different pools.
  • the inventors For the generalization of the signatures used for predicting the aggressiveness of the disease, the inventors grouped the two cohorts (training set and validation set) with the aim of obtaining a sufficient number for the statistical analysis. The cases with unfavorable prognosis were first compared to the respective controls and the signatures thus obtained were tested to evaluate their effective capacity to discriminate the patients having poor prognosis from those having good prognosis.
  • the signatures of the microRNAs identified in the various analyses were validated on two independent sets constituted by high-risk individuals (smokers of more than 50 years of age) enrolled in two different clinical trials for early identification of pulmonary tumour using low-dose spiral CT: a first set, or training set, made up of 40 samples of plasma from 19 patients and 27 samples of plasma from healthy control individuals grouped in 5 different pools and a second set or validation set (i.e. in a second set of individuals) made up of 32 samples of plasma from 22 patients and 54 samples of plasma from healthy control individuals, grouped in 10 different pools.
  • a first set, or training set made up of 40 samples of plasma from 19 patients and 27 samples of plasma from healthy control individuals grouped in 5 different pools
  • a second set or validation set i.e. in a second set of individuals
  • FIG. 1 summarizes the pathological clinical characteristics of the training set and the validation set selected for the analysis of the expression levels of the miRNAs in the plasma samples.
  • RNA was extracted from 200 ⁇ l of plasma using the mirVanaTM PARISTM Kit (Ambion), eluting in 50 ⁇ l of elution buffer.
  • the expression levels were determined using q-Real Time PCR starting from 3 ⁇ l of elute first using the MegaplexTM Pools Protocol on a microfluidic card, type A (Applied Biosystems), then the MultiplexTM Pools Protocol (Applied Biosystems).
  • the samples of plasma collected 1-2 years before from patients in whom a tumour was later diagnosed using spiral CT were analysed and compared with the control pool, constituted by healthy individuals.
  • a signature was therefore identified in the training comprising 14 miRNA ratios made up of 14 microRNAs capable of correctly discriminating 18 out of 20 pre-disease samples from individuals who then will develop the disease (90% sensitivity), while only one control pool was positive for this signature (80% specificity).
  • the miRNA ratios of the first example were then listed and are reported also in FIG. 4A .
  • Plasma samples collected at the moment of surgery or on identification of the disease by spiral CT were compared with the control pools.
  • a panel of 16 miRNA ratios, made up of 13 microRNAs correctly classify 16 out of 19 patients with a sensitivity of 84% and a specificity of 80%.
  • a lower sensitivity in the validation set can be correlated to the presence of a greater number of small indolent nodules, of which two patients are part, whose blood samples were mis-matched both by the risk signature in the pre-disease samples, and by the signature in the samples taken in the presence of disease.
  • the miRNA ratios of the second example are listed herein below and are also reported in FIG. 4B .
  • This diagnostic signature was then used to verify the presence of disease in the plasma samples collected before identification of the disease by spiral CT.
  • 11 out of 20 (55%) of the cases are classified as being in presence of disease and, very interestingly, of these 11, 10 are either pessimistic diagnosis cases or belonging to patients in whom the tumour was identified in the later years of the screening, or where more aggressive tumours with worse prognoses were identified.
  • microRNA profiles of the pre-disease samples with unfavorable prognosis were identified and 10 miRNA ratios identified that were able to recognize 5 out of 5 patients in the first set, 4 out of 5 in the validation set and with a specificity in both of 100%.
  • mir-221, mir-660, mir-486-5p, mir-28-3p, mir-197, mir-106a, mir-451, mir-140-5p and mir-16 are the deregulated microRNAs.
  • the miRNA ratios of this third example are listed below and are also reported in FIG. 4C .
  • FIG. 2 illustrates a Kaplan-Meier survival curve of patients with or without the signature of risk of aggressive disease; the curve with the aggressive signature is represented in a continuous line and identified by RAD+ (risk of aggressive disease +) while the curve without the signature of risk of aggressive disease is represented by a discontinuous line and identified by RAD ⁇ (risk of aggressive disease ⁇ ) in plasma samples collected 1-2 years before identification of the disease by spiral CT.
  • the miRNA ratios of this fourth example are listed below and are also reported in FIG. 4D .
  • FIG. 3 reports a Kaplan-Meier survival curve of patients with or without the signatures for presence of aggressive disease (respectively identified with the continuous line of PAD+, which stands for the presence of aggressive disease+, and with the broken line of PAD ⁇ , standing for the presence of aggressive disease ⁇ ) in plasma samples collected at the moment of identification of the disease by spiral CT.
  • this signature was used to classify the pre-disease samples in both data sets.
  • Half of the patients with pessimistic prognosis also present this aggressiveness signature, while for those with good prognosis of the 6 positives for this signature, 5 are tumours identified after the third year of screening.
  • mir-486-5p compared with mir-21, mir-126, mir-15b, mir-148a, mir-142-3p, mir-17, mir-197, mir-221, mir-28-3p and mir-106a, is always under-expressed in the plasma of patients with a pessimistic prognosis.
  • the inventors deduced that the microRNAs present in the plasma are useful for identifying the presence of the pulmonary tumour even 1-2 years before detection by spiral CT and further for predicting the development of types of more aggressive pulmonary cancer, indicating the possibility of selecting individuals at high risk on the basis of profiles of circulating microRNA.
  • the instant example demonstrates modifying the level of two microRNAs of our plasma signatures in a lung cancer cell line (A549).
  • Mir-486 and mir-660 were down-modulated in plasma samples of patients with lung cancer and in particular in those who have developed the aggressive form of the disease.
  • microRNA levels were measured by qReal-Time PCR in 20 paired tumor and normal lung tissue of the same patients enrolled in the CT-screening trial used as validation set.
  • Row Ct data were normalized on the housekeeping miRNA RNU6B (DCt).
  • the final expression values were obtained with the formula: 2 ⁇ ( ⁇ DCt of the tumor tissue)/2 ⁇ ( ⁇ DCt of the normal lung). Values >1 ⁇ upregulated in tumor tissue. Values ⁇ 1 ⁇ downregulated in tumor tissue.
  • the results in FIG. 9 show that these two miRNA were downregulated in the tumor tissue compared with the normal lung tissue.
  • mirVanaTM miRNA Mimic (Applied biosystem) were used to transfect lung cancer cell line expressing constitutively the Green Fluorescence Protein (A549-GFP), accordingly with the Lipofectamine2000 standard protocol (Invitrogen). 24 h hours after transfection, cells were plated in multiwell plate to assess the proliferation capacity. Real time measurements of the GFP signal were measured every 24 h with a fluorescent multiplate reader (Tecan M1000) using the wavelengths of the GFP.
  • 549-GFP transfected with the miRNA mimic mir-486-5p and mir-660 showed a reduced proliferative capacity compared to the wild type and the miRNA mimic scrambled (ctrl-) cell lines.
  • FIG. 11 549-GFP cells were transfected with miRNA mimics as reported before. 24 h hour after transfection cell were plated in FalconTM FluoroBlokTM Cell Culture Inserts 8.0 ⁇ m (BD biosciences) placed in a 24-wells plate. Cell migration capacity was assess measuring GFP signal using the bottom reading tool of the Tecan M1000, in this way it was possible to read just the signal of the cells passed through the membrane of the insert. Real time migration was followed for 4 days.
  • 549-GFP transfected with the miRNA mimic mir-486-5p and mir-660 showed a reduced migration capacity compared to the wild type and the miRNA mimic scrambled (ctrl-) cell lines.
  • INT-IEO cohort (training set). Lung cancer was diagnosed in 38 subjects, 22 in the first 2 y and 16 from the 3rd to 5th y of screening, including one interval cancer at 4th y. The frequency of stage I was 63% (77% in first 2 y vs. 44% in the last 3 y), and adenocarcinoma was 71% (95% in first 2 y vs. 63% in the last 3 y; Table XI).
  • MILD Multicentric Italian Lung Detection
  • miRNA profiles of 28 tumors and 24 paired normal lung tissues were analyzed using a miRNA microarray platform. Validation of the differentially expressed miRNAs was done using qRT-PCR.
  • mir-21 and the mir-200 family known to be involved in pathways such as survival, apoptosis, epithelial-mesenchymal transition
  • some unidentified changes e.g., down-regulation of miR-486 and miR-451.
  • the levels of the two most regulated miRNAs were evaluated in tumor and normal samples by qRT-PCR, which confirmed the previous observation.
  • the miRNA expression profile of tumors detected in the first 2 y of the screening was significantly different from the profile of tumors appearing after the 2nd y, with differential expression of eight miRNAs (mir-128, mir-129, mir-369-3p, mir-193, mir-339-3p, mir-185, mir-346, and mir-340). These results indicate that these groups of tumors display different miRNA profiles associated with distinct aggressive features, where the incident tumors grow faster.
  • miRNA expression analysis on normal lung tissues also discriminated subjects identified in the first 2 y from those of later years of screening (miR-126*, mir-126, let-7c, mir-222, mir-30e, mir-1-2, mir-29b-1, mir-30d-prec, mir-15a, mir-16; FIG. 13 ).
  • Significant associations were found between miRNAs expression in normal lung and reduction of forced expiratory volume (FEV; mir-379 and mir-29-1*), faster tumor growth (mir-30d*), DFS of the patients (mir-34b; Table XIII).
  • the results obtained by microarray hybridization were independently validated by qRT-PCR.
  • pathway enrichment analysis was performed using DIANA-mirPath software on the gene targets predicted by microT-4.0, Pic-Tar, and TargetScan-5. This analysis showed that many of the predicted miRNA targets are involved in critical pathway affected in cancer such as survival, apoptosis, epithelial-mesenchymal transition, and proliferation (XIV).
  • 113 miRNAs were found to be always expressed in all plasma samples, and a subset of 100 miRNAs was found to be consistently expressed in the 15 control pools, with a good reproducibility among biological duplicates ( FIG. 15 ). These 100 miRNAs were then used to identify circulating biomarkers of risk, diagnosis, and prognosis in plasma samples collected before or in presence of CT-detected disease.
  • miRNA ratios seems to be an easily applicable method with potential for general clinical use that avoids the need for large scale, high-throughput analyses and was therefore used to develop clinically useful signatures based on circulating biomarkers.
  • the signatures obtained were then used to calculate specificity and sensitivity in an independent validation set.
  • a signature of 16 ratios composed by 15 miRNAs could discriminate correctly 18 of 20 samples from subjects developing lung cancer in the training set (90% sensitivity) and resulted positive in only 1 of the 5 control pools (80% specificity).
  • the predictive value of this signature was evaluated to be useful up to 28 mo before the disease, and mir-660, mir-140-5p, mir-451, mir-28-3p, mir-30c, and mir-92a are the most frequently deregulated miRNAs.
  • Plasma samples collected at surgery or at time of disease detection by spiral CT were compared with pools of disease-free individuals to identify a miRNA profile associated with lung cancer diagnosis.
  • a panel of 16 ratios involving 13 different miRNAs classified 16 of 19 patients with a sensitivity of 84% and a specificity of 80%.
  • the lower sensitivity observed may be related to the presence of a higher number of small, early-stage nodules with indolent behavior in this series and the inclusion of two patients misclassified by both the signature of diagnosis and risk.
  • the diagnostic signature was then used for class prediction of predisease plasma samples in the same series.
  • 11 of 20 (55%) cases were classified as individuals with disease and, very interestingly, 10 of these 11 cases were characterized by poor prognosis (dead or alive with disease) or belonged to the group of patients identified from 3rd to 5th y of screening.
  • 10 of these 11 cases were characterized by poor prognosis (dead or alive with disease) or belonged to the group of patients identified from 3rd to 5th y of screening.
  • similar results were obtained, with presence of the disease signature already in 10 of 15 (66.6%) predisease plasma samples.
  • looking at the three predisease samples of interval cancer cases patients who developed lung cancer few months after a negative CT result
  • only 1 patient was classified by the risk signature. Instead, 2 cases (including the 1 identified by risk signature) already displayed the diagnostic signature 8-9 mo before disease detection.
  • the interval cancer case not recognized by any signatures had a stage 1a tumor with good outcome, suggesting the presence of
  • mir-17, mir-660, mir-92a, mir-106a, and mir-19b were the most frequently deregulated at the time of lung cancer diagnosis.
  • 4 of 5 patients with poor prognosis were correctly classified, including a patient with poor prognosis who developed an interval cancer.
  • the sensitivity of this signature in the validation set was 80% with 100% specificity.
  • mir-221, mir-660, mir-486-5p, mir-28-3p, mir-197, mir-106a, mir-451, mir-140-5p, and mir-16 are the miRNAs deregulated in the signature of aggressive disease.
  • the signature was then used for class prediction of predisease plasma samples of patients with good prognosis in training and validation sets.
  • the signature identified 5 of 15 (33.3%) patients in the training set and 5 of 11 (45%) patients in the validation set ( FIG. 4C ).
  • most of these classified samples belonged to patients whose tumor was detected after the 3rd y of screening.
  • This finding supports our previous observation on tissue samples where a distinct miRNA profile was identified in tumor and normal tissues of the same patients. Noticeably, among the patients with tumor diagnosed in the 2nd y of screening (all stage 1a and 1b tumors), only one case with stage 1b tumor had the risk signature of aggressive disease.
  • this signature was used for class prediction of predisease plasma samples of patients in the training and validation sets.
  • Half of the predisease samples of patients with bad prognosis were positive for both the signatures of aggressive disease, whereas the predisease samples of patients with good prognosis that showed the signature of aggressive disease belonged mainly (5 of 6) to patients with tumors detected after the 3rd y of screening.
  • the shorter median follow-up observation time (14 mo) for patients in validation set might affect the strength of the prognostic signatures.
  • mir-486-5p compared with mir-21, mir-126, mir-15b, mir-148a, mir-142-3p, mir-17, mir-197, mir-221, mir-28-3p, and mir-106a, appears to be always down-regulated in plasma of patients with bad outcome.
  • miRNAs that were deregulated in the more aggressive tumors identified in later years of screening are involved in adhesion and invasion pathways: miR-339 was reported to negatively regulate intercellular cell adhesion molecule (ICAM)-1, and mir-128a has been involved in TGF ⁇ pathway promotion of tumor cell invasion and metastasis.
  • IAM intercellular cell adhesion molecule
  • This miRNA specifically targets FOXO1A, a transcription factor involved in AKT signaling and apoptosis inhibition.
  • miRNA expression profiles associated with aggressive disease and poor survival in normal lung tissues of the patients strengthens the existing evidence on the critical influence of the normal lung microenvironment on tumor development and, in the present study, on tumor aggressiveness. It is possible to speculate that these markers might represent molecular signs of a “soil” that, after extensive damage caused by smoking, becomes permissive, or even promoting, for cancer development.
  • miRNAs deregulated in normal lung tissue of the patients undergoing surgery are involved in major pathways linked to cancer.
  • miR-126 is known to promote angiogenesis by repressing the inhibitors of VEGF signaling spred1 and pik3r2, and let-7 is involved in proinflammatory programs.
  • AKT signaling is the major pathway influenced by miR-222, miR-30 regulates connective tissue growth factor, and mir-29b modulates anti-apoptotic and prometastatic matrix molecules by repressing Mc1-1. It is also interesting to note the down-regulation of mir-34b in patients with worse DFS, because mir-34b is a well known target of p53, which cooperates to control cell proliferation and adhesion-independent growth. The observation of a possible prognostic role of several miRNAs in normal lung opens up the possibility of innovative therapeutic strategies targeting the host rather than the tumor itself.
  • miRNAs deregulated in tissue specimens were rarely detected in plasma samples, further strengthening the high tissue-specificity of miRNAs and suggesting a predictive role of plasma miRNAs independent from tissue specimens.
  • the 21 miRNAs composing the signatures of risk, diagnosis, and prognosis in plasma belong to major pathways: cellular aging (mir-19b, mir-17, mir-106), bronchioalveolar and hematopoietic stem cells renewal (mir-486, mir-106a, 142-3p), tumor recurrence in stage I NSCLC (mir-27b; mir-106a; mir-19b; mir-15b mir-16, mi-21), and lung cancer aggressiveness (mir-221, mir-222).
  • mir-17, mir-92a, mir-19b, and mir-106a are oncomirs belonging to the same family responsible for increased proliferation, repression of apoptosis and induction of angiogenesis.
  • mir-197 regulates expression of the tumor suppressor gene FUS1, whose expression is lost in a large proportion of lung tumors.
  • mir-28-3p is located in a chromosomal region that is frequently amplified in lung cancer (3q28).
  • mir-221 blocks PTEN expression leading to activation of the AKT pathway, and is suggested to play an important role in cell growth and invasiveness by targeting the PTEN/AKT pathway. Alterations of these pathways represent well established and meaningful risk factors in lung cancer.
  • mir-21, mir-126, and mir-486-5p were also identified as potential blood-based biomarkers with diagnostic value in NSCLC patients.
  • miRNA signatures in plasma samples collected 1-2 y before disease that predict cancer development and prognosis is potentially useful in the selection of high-risk individuals who need to undergo spiral-CT surveillance. It is noteworthy that specific miRNA signatures in predisease plasma samples are able to predict and discriminate the development of the more aggressive, early metastatic tumors that are frequently undetectable by yearly spiral-CT. This information could be certainly helpful to prompt these individuals in pharmacological smoking cessation programs and possibly to propose more specific imaging for detection of occult metastatic disease (e.g., PET, whole-body MRI), as well as nontoxic treatments such as enrollment in prophylactic vaccination programs. Furthermore, the signature of a potentially aggressive disease could also help in the clinical management of the frequent early-stage nodules detected during CT-screening trials improving diagnostic algorithms.
  • occult metastatic disease e.g., PET, whole-body MRI
  • plasma-based miRNA biomarkers can be used in clinical practice and may help to avoid overdiagnosis and overtreatment of low-risk disease and late detection of high-risk and early metastatic disease (Boeri et al., Proc Natl Acad Sci USA. 108(9):3713-8, 2011)
  • the second trial was a prospective randomized trial named Multicentric Italian Lung Detection trial (MILD) launched in 2005 (MILD trial, validation set).
  • MILD Multicentric Italian Lung Detection trial
  • Current or former smokers at least 50 years old and without history of cancer within the prior 5 y, were randomized in two study groups: a control group undergoing a program of primary prevention with pulmonary function test evaluation and an early-detection group where periodic spiral-CT was associated with primary prevention and pulmonary function test evaluation.
  • the early-detection group was further randomized in two arms: yearly low-dose spiral CT vs. spiral CT every 2 y. A total of 2,352 subjects were randomized in one of the two CT screening arms.
  • RNA labeling and hybridization was performed using 5 ⁇ g of total TRIzol (Invitrogen) extracted RNA.
  • the miRNA microarray (Ohio State University Comprehensive Cancer Center, version 2.0) used contained probes for 460 mature miRNAs spotted in quadruplicate (235 Homo sapiens, 222 Mus musculus , and three Arabidopsis thaliana ) with annotated active sites selected for oligonucleotide design.
  • Hybridization signals were detected with streptavidin-Alexa-647 conjugate, and scanned images (Perkin-Elmer ScanArray XL5K Scanner) were quantified using the GeneSpring software version 7.2 (Silicon Genetics, Redwood City, Calif.).
  • the average value of the four spots was normalized using a per-chip 50th percentile method that normalizes each chip on its median.
  • miRNA expression profiling was performed in 40 plasma samples, collected 12-28 mo before and at time of the disease detection, from 19 patients in the training set and in 34 plasma samples from 22 patients from the validation set.
  • mirVana PARISKit (Ambion)
  • total RNA was extracted from 200- ⁇ l plasma samples, and miRNA expression was determined using the Megaplex Pools Protocol on microfluidic card type A (Applied Biosystems).
  • the control groups were represented by 15 pools of 5-7 plasma samples each from disease-free individuals enrolled in the same trials and matched to the patients by sex, age, and smoking habit.
  • the Ct of every miRNA was determined using the program SDS 2.2.2 (Applied Biosystems) and setting a threshold of 0.2 and a manual baseline from 3 to 18 cycles.
  • Plasma samples Starting from 3 n1 of the same plasma free-circulating RNA used for the Megaplex Pools Protocol (Applied Biosystems), selected miRNAs were validated with the Multiplex Pools Protocol (Applied Biosystems).
  • FIG. 15 shows the consistency of miRNA expression measurement in plasma samples by quantitative real-time PCR considering only the 100 miRNAs selected for class comparison analysis.
  • A Technical duplicates were performed for two patient samples (341 and 380) and for a control pool (M2). The graphical representation was performed plotting the first miRNA values obtained on abscissa (duplicate A) and the values obtained in the second evaluation in ordinate (duplicate B). The linear regression value shows a good reproducibility of measurements.
  • B Correlation between two different control pools.
  • C Graphical representation of average values of all Pearson correlation coefficients between control pools, technical duplicates, and between all patient samples (before and at time of disease).

Landscapes

  • Health & Medical Sciences (AREA)
  • Chemical & Material Sciences (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Organic Chemistry (AREA)
  • Proteomics, Peptides & Aminoacids (AREA)
  • Engineering & Computer Science (AREA)
  • Analytical Chemistry (AREA)
  • General Health & Medical Sciences (AREA)
  • Wood Science & Technology (AREA)
  • Immunology (AREA)
  • Zoology (AREA)
  • Genetics & Genomics (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Biotechnology (AREA)
  • Biophysics (AREA)
  • General Engineering & Computer Science (AREA)
  • Hospice & Palliative Care (AREA)
  • Biochemistry (AREA)
  • Oncology (AREA)
  • Molecular Biology (AREA)
  • Microbiology (AREA)
  • Medicinal Chemistry (AREA)
  • Pharmacology & Pharmacy (AREA)
  • Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
  • Veterinary Medicine (AREA)
  • Public Health (AREA)
  • Animal Behavior & Ethology (AREA)
  • General Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Obesity (AREA)
  • Hematology (AREA)
  • Diabetes (AREA)
  • Bioinformatics & Computational Biology (AREA)
  • Evolutionary Biology (AREA)
  • Medical Informatics (AREA)
  • Spectroscopy & Molecular Physics (AREA)
  • Theoretical Computer Science (AREA)
  • Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
US13/367,582 2011-02-07 2012-02-07 Micro-RNA Biomarkers and Methods of Using Same Abandoned US20120225925A1 (en)

Priority Applications (4)

Application Number Priority Date Filing Date Title
US13/367,582 US20120225925A1 (en) 2011-02-07 2012-02-07 Micro-RNA Biomarkers and Methods of Using Same
US14/310,787 US9926603B2 (en) 2011-02-07 2014-06-20 Micro-RNA biomarkers and methods of using same
US15/927,411 US20190062843A1 (en) 2011-02-07 2018-03-21 Micro-rna biomarkers and methods of using same
US16/856,255 US20210130905A1 (en) 2011-02-07 2020-04-23 Micro-rna biomarkers and methods of using same

Applications Claiming Priority (8)

Application Number Priority Date Filing Date Title
ITMI2011A000173 2011-02-07
ITMI2011A000172A IT1406672B1 (it) 2011-02-07 2011-02-07 Procedimento ed apparecchiatura per identificare individui a rischio di tumore polmonare e/o per diagnosticare un tumore polmonare, nonche' composizione e metodo per ridurre o eliminare il rischio di tumore polmonare.
ITMI2011A000173A IT1403685B1 (it) 2011-02-07 2011-02-07 Procedimento ed apparecchiatura per identificare individui a rischio di tumore polmonare e/o per diagnosticare un tumore polmonare, nonche' composizione e metodo per ridurre o eliminare il rischio di tumore polmonare.
ITMI2011A000174 2011-02-07
ITMI2011A000174A IT1406866B1 (it) 2011-02-07 2011-02-07 Procedimento ed apparecchiatura per identificare individui a rischio di tumore polmonare e/o per diagnosticare un tumore polmonare, nonché composizione e metodo per ridurre o eliminare il rischio di tumore polmonare
ITMI2011A000172 2011-02-07
US201161522328P 2011-08-11 2011-08-11
US13/367,582 US20120225925A1 (en) 2011-02-07 2012-02-07 Micro-RNA Biomarkers and Methods of Using Same

Related Child Applications (1)

Application Number Title Priority Date Filing Date
US14/310,787 Continuation US9926603B2 (en) 2011-02-07 2014-06-20 Micro-RNA biomarkers and methods of using same

Publications (1)

Publication Number Publication Date
US20120225925A1 true US20120225925A1 (en) 2012-09-06

Family

ID=46062629

Family Applications (4)

Application Number Title Priority Date Filing Date
US13/367,582 Abandoned US20120225925A1 (en) 2011-02-07 2012-02-07 Micro-RNA Biomarkers and Methods of Using Same
US14/310,787 Expired - Fee Related US9926603B2 (en) 2011-02-07 2014-06-20 Micro-RNA biomarkers and methods of using same
US15/927,411 Abandoned US20190062843A1 (en) 2011-02-07 2018-03-21 Micro-rna biomarkers and methods of using same
US16/856,255 Abandoned US20210130905A1 (en) 2011-02-07 2020-04-23 Micro-rna biomarkers and methods of using same

Family Applications After (3)

Application Number Title Priority Date Filing Date
US14/310,787 Expired - Fee Related US9926603B2 (en) 2011-02-07 2014-06-20 Micro-RNA biomarkers and methods of using same
US15/927,411 Abandoned US20190062843A1 (en) 2011-02-07 2018-03-21 Micro-rna biomarkers and methods of using same
US16/856,255 Abandoned US20210130905A1 (en) 2011-02-07 2020-04-23 Micro-rna biomarkers and methods of using same

Country Status (17)

Country Link
US (4) US20120225925A1 (fr)
EP (1) EP2734636B1 (fr)
AU (2) AU2012215105B2 (fr)
BR (1) BR112014003877A2 (fr)
CA (1) CA2844596A1 (fr)
CY (1) CY1121916T1 (fr)
DK (1) DK2734636T3 (fr)
ES (1) ES2742840T3 (fr)
HK (1) HK1197274A1 (fr)
HR (1) HRP20191481T1 (fr)
HU (1) HUE045731T2 (fr)
IL (1) IL230896B (fr)
PL (1) PL2734636T3 (fr)
PT (1) PT2734636T (fr)
RS (1) RS59161B1 (fr)
SM (1) SMT201900474T1 (fr)
WO (1) WO2012107841A2 (fr)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160108405A1 (en) * 2014-10-17 2016-04-21 Biomirna Holdings Ltd Lung cancer diagnostics and therapeutics with mir-660
US20160273040A1 (en) * 2012-11-16 2016-09-22 Siemens Aktiengesellschaft Diagnostic mirna markers for alzheimer
TWI571514B (zh) * 2015-01-09 2017-02-21 長庚大學 評估罹患大腸直腸癌風險的方法
TWI626314B (zh) * 2015-01-09 2018-06-11 長庚大學 評估罹患大腸直腸癌風險的方法
US10011873B2 (en) 2012-11-16 2018-07-03 Universitat Des Saarlandes Diagnostic miRNA markers for Parkinson disease
WO2018187624A1 (fr) * 2017-04-06 2018-10-11 The United States Government As Represented By The Department Of Veterans Affairs Méthodes de détection du cancer du poumon

Families Citing this family (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2012107841A2 (fr) 2011-02-07 2012-08-16 Biomirna Holdings Ltd. Marqueurs biologiques de micro-arn et procédés pour les utiliser
BR112016015595A2 (pt) * 2014-01-05 2017-10-24 Biomirna Holdings Ltd métodos de determinação de câncer de pulmão
WO2015117205A1 (fr) * 2014-02-06 2015-08-13 Immunexpress Pty Ltd Méthode de signature de biomarqueur, et appareil et kits associés
EP3191602A1 (fr) * 2014-09-09 2017-07-19 Istituto Europeo di Oncologia S.r.l. Procédés de détection du cancer du poumon
US10358679B2 (en) * 2014-09-26 2019-07-23 The Henry M. Jackson Foundation For The Advancement Of Military Medicine, Inc. MicroRNA biomarkers for posttraumatic stress disorder and methods of use thereof

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20120309645A1 (en) * 2010-02-05 2012-12-06 Febit Holding Gmbh miRNA IN THE DIAGNOSIS OF OVARIAN CANCER
US20130035251A1 (en) * 2009-12-30 2013-02-07 Febit Holding Gmbh miRNA FINGERPRINT IN THE DIAGNOSIS OF WILMS' TUMOUR
US20130184175A1 (en) * 2007-09-14 2013-07-18 Asuragen, Inc. Micrornas differentially expressed in cervical cancer and uses thereof
US20140018411A1 (en) * 2006-01-05 2014-01-16 The Ohio State University Methods for Diagnosing Prostate Cancer using MicroRNAs
US20140031415A1 (en) * 2004-11-12 2014-01-30 Asuragen, Inc. Methods and compositions involving mirna and mirna inhibitor molecules

Family Cites Families (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2007081720A2 (fr) * 2006-01-05 2007-07-19 The Ohio State University Research Foundation Procédés et compositions basés sur des micro-arn et s'appliquant au diagnostic, au pronostic et au traitement du cancer du poumon
US8207325B2 (en) * 2006-04-03 2012-06-26 Univ. of Copenhagen MicroRNA biomarkers for human breast and lung cancer
WO2009052386A1 (fr) * 2007-10-18 2009-04-23 Asuragen, Inc. Micro arn exprimés différentiellement dans des maladies pulmonaires et leurs utilisations
US20100323357A1 (en) * 2007-11-30 2010-12-23 The Ohio State University Research Foundation MicroRNA Expression Profiling and Targeting in Peripheral Blood in Lung Cancer
US20110107440A1 (en) * 2008-06-04 2011-05-05 Andor Pivarcsi Skin cancer associated micrornas
CA2753562A1 (fr) * 2009-02-26 2010-09-02 The Ohio State University Research Foundation Microarn chez les non-fumeurs et methodes et matieres apparentees
CN101804208A (zh) * 2010-02-26 2010-08-18 南京医科大学 miR-451在制备治疗非小细胞肺癌药物的应用
WO2012107841A2 (fr) 2011-02-07 2012-08-16 Biomirna Holdings Ltd. Marqueurs biologiques de micro-arn et procédés pour les utiliser

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20140031415A1 (en) * 2004-11-12 2014-01-30 Asuragen, Inc. Methods and compositions involving mirna and mirna inhibitor molecules
US20140018411A1 (en) * 2006-01-05 2014-01-16 The Ohio State University Methods for Diagnosing Prostate Cancer using MicroRNAs
US20130184175A1 (en) * 2007-09-14 2013-07-18 Asuragen, Inc. Micrornas differentially expressed in cervical cancer and uses thereof
US20130035251A1 (en) * 2009-12-30 2013-02-07 Febit Holding Gmbh miRNA FINGERPRINT IN THE DIAGNOSIS OF WILMS' TUMOUR
US20120309645A1 (en) * 2010-02-05 2012-12-06 Febit Holding Gmbh miRNA IN THE DIAGNOSIS OF OVARIAN CANCER

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20160273040A1 (en) * 2012-11-16 2016-09-22 Siemens Aktiengesellschaft Diagnostic mirna markers for alzheimer
US10011873B2 (en) 2012-11-16 2018-07-03 Universitat Des Saarlandes Diagnostic miRNA markers for Parkinson disease
US10138520B2 (en) * 2012-11-16 2018-11-27 Siemens Aktiengesellschaft Diagnostic miRNA markers for Alzheimer
US11111541B2 (en) 2012-11-16 2021-09-07 Universitat Des Saarlandes Diagnostic MiRNA markers for Parkinson's disease
US20160108405A1 (en) * 2014-10-17 2016-04-21 Biomirna Holdings Ltd Lung cancer diagnostics and therapeutics with mir-660
TWI571514B (zh) * 2015-01-09 2017-02-21 長庚大學 評估罹患大腸直腸癌風險的方法
TWI626314B (zh) * 2015-01-09 2018-06-11 長庚大學 評估罹患大腸直腸癌風險的方法
WO2018187624A1 (fr) * 2017-04-06 2018-10-11 The United States Government As Represented By The Department Of Veterans Affairs Méthodes de détection du cancer du poumon
US11535895B2 (en) 2017-04-06 2022-12-27 University Of Maryland, Baltimore Methods of detecting lung cancer

Also Published As

Publication number Publication date
DK2734636T3 (da) 2019-08-26
AU2012215105B2 (en) 2017-05-11
US20210130905A1 (en) 2021-05-06
CY1121916T1 (el) 2020-10-14
AU2017213457B2 (en) 2019-08-29
WO2012107841A2 (fr) 2012-08-16
BR112014003877A2 (pt) 2017-06-13
AU2012215105A1 (en) 2014-06-05
AU2017213457A1 (en) 2017-08-31
HUE045731T2 (hu) 2020-01-28
US9926603B2 (en) 2018-03-27
PL2734636T3 (pl) 2019-10-31
CA2844596A1 (fr) 2012-08-16
PT2734636T (pt) 2019-09-06
HRP20191481T1 (hr) 2019-11-15
IL230896B (en) 2019-10-31
WO2012107841A3 (fr) 2013-01-17
ES2742840T3 (es) 2020-02-17
US20150045233A1 (en) 2015-02-12
EP2734636A2 (fr) 2014-05-28
IL230896A0 (en) 2014-03-31
EP2734636B1 (fr) 2019-05-22
US20190062843A1 (en) 2019-02-28
SMT201900474T1 (it) 2019-09-09
HK1197274A1 (en) 2015-01-09
RS59161B1 (sr) 2019-10-31

Similar Documents

Publication Publication Date Title
US20210130905A1 (en) Micro-rna biomarkers and methods of using same
US12077803B2 (en) MicroRNAs as biomarkers for endometriosis
EP2559772B1 (fr) Procédés pour la détermination d'un sous-type de carcinome hépatocellulaire
CN112029863B (zh) 胆道癌的检测试剂盒或装置以及检测方法
WO2010069129A1 (fr) Marqueur de détection du cancer du poumon à grandes cellules, procédé de détection de celui-ci, kit de réactif associé et biopuce
AU2010328019A2 (en) Biomarker assay for diagnosis and classification of cardiovascular disease
CN102876676A (zh) 一种与胰腺癌相关的血清/血浆miRNA标志物及其应用
AU2012351524A1 (en) Methods for diagnosis and therapeutic follow-up of muscular dystrophies
Greco et al. The potential role of microRNAs as biomarkers in benign prostatic hyperplasia: a systematic review and meta-analysis
WO2011012074A1 (fr) Marqueurs de détection du cancer du foie et procédés de détection, nécessaires et biopuces de ceux-ci
US20120238617A1 (en) Microrna expression signature in peripheral blood of patients affected by hepatocarcinoma or hepatic cirrhosis and uses thereof
M. ElHefnawi et al. Recent Patents of microRNAs as Biomarkers for Breast, Leukemia, Prostate and Cervical Cancers
HK40011172B (en) Micrornas as biomarkers for endometriosis
HK40011172A (en) Micrornas as biomarkers for endometriosis

Legal Events

Date Code Title Description
AS Assignment

Owner name: BIOMIRNA HOLDINGS LTD., IRELAND

Free format text: ASSIGNMENT OF ASSIGNORS INTEREST;ASSIGNORS:SOZZI, GABRIELLA;PASTORINO, UGO;BOERI, MATTIA;REEL/FRAME:027775/0418

Effective date: 20120221

STCB Information on status: application discontinuation

Free format text: ABANDONED -- FAILURE TO RESPOND TO AN OFFICE ACTION