MICRORNA EXPRESSION SIGNATURE IN PERIPHERAL BLOOD OF PATIENTS AFFECTED BY HEPATOCARCINOMA OR HEPATIC CIRRHOSIS AND USES THEREOF

Information

  • Patent Application
  • 20120238617
  • Publication Number
    20120238617
  • Date Filed
    September 06, 2010
    14 years ago
  • Date Published
    September 20, 2012
    12 years ago
Abstract
A method for diagnosing or prognosticating hepatocellular carcinoma, also in the early stages, or for assessing the risk of developing hepatocellular carcinoma, or for monitoring the effectiveness of an anti-tumour therapy against hepatocellular carcinoma by measuring the expression level of at least one miRNA gene product in a peripheral blood sample or in a biological fluid sample. Said method comprises measuring, in an isolated sample of peripheral blood or biological fluid, the expression level of at least one miRNA gene product, and comparing said measured expression level with a reference level. Such method can also be used to diagnose or assess the risk of developing liver cirrhosis in patients affected by chronic hepatitis, or to prognosticate the evolution of cirrhosis in patients affected by cirrhosis, or to monitor the effectiveness of a pharmacological therapy against liver cirrhosis.
Description

The present invention relates to a method for diagnosing or prognosticating hepatocellular carcinoma, also in the early stages, or for assessing the risk of developing hepatocellular carcinoma or for monitoring the effectiveness of an anti-tumour therapy against hepatocellular carcinoma.


Hepatocellular carcinoma is one of the most aggressive, common neoplasias in the world, characterised by an often unfavourable course. The main therapies to which recourse is made in cases of hepatocellular carcinoma involve surgical resection or a liver transplant. However, the low postoperative survival rate (30-40% after five years) and frequent post-surgery reappearance of metastasis in patients undergoing a surgical resection treatment considerably complicate the clinical approach toward hepatocellular carcinoma. This limit is further exacerbated by the reduced possibility of surgical treatment, which is in fact restricted to only a small percentage of patients (around 20% of patients with hepatocellular carcinoma), in particular those patients found to have small lesions and relatively normal hepatic parameters.


Liver transplant as an effective therapeutic solution for hepatocellular carcinoma is still today a highly debated issue and the opinions on this topic are controversial given the low availability of organs, and above all the difficulty of classifying and identifying patients suited for treatment, mainly when the pathology is in the initial stages.


Though well-codified, generally accepted methods for classifying the pathological progression of many forms of tumours are available today, hepatocellular carcinoma represents an exception. The clinical classification of hepatocellular carcinoma and the correlated therapeutic indications entail very complex procedures and depend both on the degree of tumour progression and residual liver function. There exist various classification and clinical staging systems for hepatocellular carcinoma, but the scientific community has not yet given an opinion as to the most appropriate and effective method. Therefore, the identification of specific prognostic markers capable of providing new classification and staging criteria applicable to patients affected by hepatocellular carcinoma represents an indispensable objective, especially because the choice of the therapeutic treatment best suited for the patient depends on it.


The objective of a universally accepted staging is potentially useful for improving the accuracy of the prognosis in individual patients, favouring the selection of patients for different therapies and, finally, adapting groups of patients based on therapeutic efficacy.


The identification of molecular biomarkers could offer hope of improving the diagnosis or prognosis of hepatocellular carcinoma, assessing the risk of developing hepatocellular carcinoma and monitoring the effectiveness of a therapeutic treatment against hepatocellular carcinoma.


In this context, the technical problem at the basis of the present invention is to provide a method for the classification and staging of hepatocellular carcinoma which is not invasive, is simple and fast, but at the same time accurate and reproducible, and which can fulfil the need for a “universal” classification and staging, useful for assuring the choice of the best therapeutic treatment for each individual patient. In the context of the present invention, the term “non-invasive” signifies the possibility, by means of a simple blood test, of devising made-to-measure treatments for individual patients, as opposed to relying on disadvantageous methods with costly imaging and invasive biopsies, which at present represent the classic clinical approach for cancer diagnosis, prognosis and hence therapy. In particular, a specific panel of biomarkers, present and stable in the bloodstream, can be used as a molecular “fingerprint” of hepatocellular carcinoma.


Such technical problem is resolved by a method for diagnosing or prognosticating hepatocellular carcinoma, also in the early stages, for assessing the risk of developing hepatocellular carcinoma or for monitoring the effectiveness of an anti-tumour therapy against hepatocellular carcinoma, as described in the appended claims.


The present invention relates to a method for diagnosing or prognosticating hepatocellular carcinoma, also in the early stages, for assessing the risk of developing hepatocellular carcinoma or for monitoring the effectiveness of an anti-tumour therapy against hepatocellular carcinoma, which comprises measuring, preferably by quantitative RT-PCR, the expression level of at least one microRNA (miRNA) gene product in a peripheral blood sample or in a biological fluid sample, and comparing said measured expression level with a reference level.


An alteration in the expression levels of a miRNA gene product in a sample of the test subject, as compared to a control sample, is indicative of the fact that the subject is affected by hepatocellular carcinoma or has an increased risk of developing hepatocellular carcinoma. Furthermore, an alteration in the expression levels of a miRNA gene product in a sample of the test subject, as compared to a control sample, is indicative of the effectiveness, evolution and outcome of a therapy against hepatocellular carcinoma.


An alteration in the expression levels of a miRNA gene product in a sample of the test subject, as compared to a control sample, is also indicative of the evolution of the disease and hence of the prognosis thereof.


Such method can also be used to diagnose or assess the risk of developing liver cirrhosis in patients affected, for example, by chronic hepatitis or in healthy subjects, or to prognosticate the evolution of cirrhosis in patients affected by cirrhosis, or to monitor the effectiveness of a pharmacological therapy against liver cirrhosis.


In this case the method comprises measuring, preferably by quantitative RT-PCR, the expression level of at least one microRNA (miRNA) gene product in a peripheral blood sample or else in a biological fluid sample, and comparing said measured expression level with a reference level. An alteration in the expression levels of a miRNA gene product in a sample of the test subject, as compared to a control sample, is indicative of the fact that the subject is affected by liver cirrhosis or has an increased risk of developing liver cirrhosis, as for example in the case of patients affected by chronic hepatitis.


Such alteration is also indicative of the effectiveness, evolution and outcome of a therapy against liver cirrhosis.


Said alteration in levels is also indicative of the evolution of the disease and hence of the prognosis thereof.





Further characteristics and advantages of the method according to the present invention will become more apparent from the experimental results illustrated in the appended figures, in which:



FIG. 1 shows a graph of the values of the relative expression ratio between blood samples from subjects affected by hepatocellular carcinoma (HCC) and blood samples from healthy subjects (HD-control); values between 0 and 1 indicate overexpressed miRNAs in the samples from healthy subjects, whereas values greater than 1 refer to overexpressed miRNAs in the samples from subjects affected by hepatocellular carcinoma;



FIG. 2 shows a graphical representation, by colour gradient (heatmap), of the ΔCt values (Ct: Cycle threshold) for the 62 miRNAs differentially expressed, in a significant manner according to the t-test analysis, between unpaired samples, 10 from healthy subjects and 10 from subjects with hepatocellular carcinoma HCC (p-value <0.05);



FIG. 3 shows a graph of the values of the relative expression ratio between blood samples from subjects affected by liver cirrhosis and blood samples from the same cirrhotic subjects who subsequently developed hepatocellular carcinoma; values between 0 and 1 indicate overexpressed miRNAs in the samples from cirrhotic subjects, whereas values greater than 1 refer to overexpressed miRNAs in the samples from subjects with hepatocellular carcinoma;



FIG. 4 shows a graphical representation, by colour gradient (heatmap), of the ΔCt values for the 11 miRNAs differentially expressed, in a significant manner according to the paired t-test analysis, between 5 blood samples from subjects affected by liver cirrhosis and 5 blood samples from the same cirrhotic subjects who subsequently developed hepatocellular carcinoma.





MiRNAs are molecules naturally present in many organisms, including animals, plants and viruses, and play a fundamental role in the control of gene expression by regulating, in a specific manner, the stability and translation of messenger RNAs (mRNAs). MiRNAs are initially expressed as long precursor RNA molecules, or pri-miRNAs, which by means of a complex mechanism of nucleo-cytoplasmic processing, are transformed into the mature form (miRNA), characterised by a length of 17-24 nucleotides. The function of many miRNAs is not known; however, various studies have demonstrated the key role that miRNAs have in gene regulation in many fundamental biological functions such as apoptosis, haematopoietic development and cellular differentiation.


The biological and clinical relevance of miRNA expression profiles has been demonstrated in solid human tumours (like breast tumours) and chronic lymphatic leukaemia.


A further property of miRNAs is their presence, in a stable, resistant RNA form, in blood (serum and plasma) and in various other biological fluids; it has recently been demonstrated that the blood of patients affected by prostate carcinoma or ovarian cancer shows peculiar miRNA expression profiles.


For the purposes of the present invention, the at least one miRNA gene product used in the method is at least one miRNA.


The at least one miRNA gene product is chosen, individually or in combination, from the group consisting of SEQ ID NO 1-69.


In a preferred embodiment of the invention, the at least one miRNA gene product is selected, individually or in combination, from the group consisting of SEQ ID NO 1-19 and SEQ ID NO 63-66 and SEQ ID 69; more preferably it is chosen from the group consisting of a SEQ ID NO 6, SEQ ID NO 9, SEQ ID NO 12, SEQ ID NO 13, SEQ ID NO 14, SEQ ID NO 15, SEQ ID NO 16 and SEQ ID NO 65.


Such miRNA sequences are characterised by a higher relative expression level in a sample of a subject affected by hepatocellular carcinoma as compared to a control, who may be a healthy or cirrhotic subject.


In another preferred embodiment of the present invention, the at least one miRNA gene product is selected, individually or in combination, from the group consisting of SEQ. ID NO 20-62 and SEQ. ID NO 67-68; more preferably it is chosen from the group consisting of:


SEQ ID NO 23, SEQ ID NO 28, SEQ ID NO 30, SEQ ID NO 31,


SEQ ID NO 33, SEQ ID NO 36, SEQ ID NO 37, SEQ ID NO 39,


SEQ ID NO 40, SEQ ID NO 41 and SEQ ID NO 67.


Such miRNA sequences are characterised by a lower relative expression level in samples from subjects affected by hepatocellular carcinoma as compared to a control, who may be a healthy or cirrhotic subject.


In a preferred embodiment of the present invention the at least one miRNA gene product is selected, individually or in combination, from among the sequences: SEQ ID NO 6, 9, 12, 13, 14, 15, 16, 23, 28, 30, 31, 33, 36, 37, 39, 40, 41, 65 and 67.


The method, which is the subject matter of the present invention, is preferably carried out in vitro, in particular on blood samples or biological fluid of a human subject.


The peripheral blood sample to be investigated can be whole blood, or isolated (ex vivo) peripheral blood mononucleated cells, serum or plasma.


The sample to be investigated can also be any biological fluid, for example urine or saliva. The method described relates to hepatocellular carcinoma, in an advanced or even early stage, in particular to trabecular, pseudoglandular, compact, or scirrhous hepatocellular carcinoma, with different degrees of differentiation.


The method of the invention is used to diagnose whether a subject is affected by hepatocellular carcinoma or is at risk of developing said pathology by verifying the presence of any alteration in the expression levels of a miRNA gene product in a peripheral blood or biological fluid sample of the test subject, as compared to a control sample.


The method of the invention is also used to define the prognosis of hepatocellular carcinoma by comparing the expression levels of at least one miRNA gene product in a peripheral blood or biological fluid sample of a subject affected by hepatocellular carcinoma and a reference level. An alteration in the expression levels of the at least one miRNA gene product in a sample of the test subject, as compared to a reference sample, is indicative of the degree of tumour advancement, from which it is possible to deduce the disease prognosis. The method of the invention is also used to monitor the effectiveness of a therapeutic anti-tumour treatment, in particular a chemo/radiotherapy treatment. In this case the method comprises comparing the expression levels of at least one miRNA gene product in a peripheral blood or biological fluid sample of the test subject with a reference sample. An alteration in the expression levels of the at least one miRNA gene product in a sample of the test subject, as compared to a sample of the same subject in different phases of the therapeutic treatment in question, is indicative of the effectiveness of the treatment itself.


Alternatively, the method for determining the effectiveness of a therapeutic anti-tumour treatment comprises comparing peripheral blood samples from patients affected by hepatocellular carcinoma who are undergoing therapeutic anti-tumour treatment and samples from patients affected by hepatocellular carcinoma who are not undergoing therapeutic anti-tumour treatment. An alteration in the expression levels of a miRNA gene product between the two groups of patients is indicative of whether a new method of therapeutic anti-tumour treatment is valid and effective or note


In an alternative embodiment, the method of the invention can also be used to diagnose or assess the risk of developing liver cirrhosis, for example in patients affected by chronic hepatitis or in healthy patients, or to prognosticate the evolution of cirrhosis in patients affected by cirrhosis, or to monitor the effectiveness of a pharmacological therapy against liver cirrhosis.


In this case the method comprises measuring, preferably by quantitative RT-PCR, the expression level of at least one microRNA (miRNA) gene product in a peripheral blood sample or in a biological fluid sample, and comparing said measured expression level with a reference level. An alteration in the expression levels of a miRNA gene product in a sample of the test subject, as compared to a control sample, is indicative of the fact that the subject is affected by liver cirrhosis or has an increased risk of developing liver cirrhosis, as for example in the case of patients affected by chronic hepatitis.


Such alteration is also indicative of the effectiveness, evolution and outcome of a therapy against liver cirrhosis.


Such alteration in levels is also indicative of the evolution of the disease and hence the prognosis thereof.


In this embodiment the miRNA gene product is as specified previously.


In another embodiment, the method according to the present invention can also be used in combination with other diagnostic/prognostic methods presently in use, as a valid complement to said investigative techniques.


For example, the method can be applied in combination with: microarrays, proteomic and immunological analyses, and sequencing analyses of specific DNA sequences for the purpose of defining an ad hoc therapeutic approach for individual patients. Completing the clinical information derived from known investigative techniques with that of the present invention would help to address the treatment of a patient affected by hepatocellular carcinoma or cirrhosis in a completely personalised manner that is advantageous as regards both the diagnosis and the prognosis and therapy.


In another embodiment, the method of the invention can be used to identify new therapeutic targets.


Each miRNA has the capability of regulating the expression of hundreds of genes and can thus modulate the activity of many molecular signal transduction pathways inside the cell. Therefore, the miRNA panels identified in the peripheral blood of a subject affected by tumour reflect the biology of the primary tumour.


Said miRNAs are useful as biomarkers for identifying the pathology, defining the response to therapies and monitoring any possible recurrences of the hepatocellular carcinoma. Such miRNAs are also useful for defining the altered molecular pathways in hepatocellular carcinoma and can contribute, therefore, to identifying new therapeutic targets.


The present invention also relates to a pharmaceutical composition for treating hepatocellular carcinoma or liver cirrhosis, comprising a pharmaceutically acceptable carrier and at least one isolated miRNA gene product and/or a nucleic acid complementary thereto, which is up- or down- regulated in the peripheral blood of a subject affected by hepatocellular carcinoma or liver cirrhosis, as compared to a suitable control sample. The at least one isolated miRNA gene product is chosen, individually or in different combinations, from among the sequences previously identified.


The present invention further relates to a method for identifying an anti-hepatocellular carcinoma or anti-liver cirrhosis agent which comprises a step of administering a test substance to isolated cells (ex-vivo). After administration, a measurement is made of the level of at least one miRNA gene product whose increased expression is associated with hepatocellular carcinoma or liver cirrhosis.


Subsequently, the expression level of said at least one miRNA gene product in the treated cells is compared with that in the control cells. A decrease in said expression level is indicative of the fact that the test substance is an anti-hepatocellular carcinoma or anti-liver cirrhosis agent.


Experimental Part


EXAMPLE 1

The investigations were carried out on ten subjects affected by hepatocellular carcinoma.


The tissue analysed consisted in peripheral blood and the experimental control was represented by the peripheral blood of ten subjects free of symptoms or traces of tumour.


The total RNA was extracted using the mirVana™ miRNA Isolation Kit (Cat# AM1561—Ambion). Synthetic RNA ath-miR159a, Arabidopsis thaliana microRNA not expressed in man, was added as a quantitative normalizer (3 fmoles per aliquot of serum). An aliquot of the sample (3 μL of the total 50 μL of extracted RNA) was submitted to the reverse transcription reaction conducted using the TaqMan® MicroRNA Reverse Transcription kit in the presence of a solution of MgCl2 5 mM (Part no 4366597—Applied Biosystems). Megaplex™ RT Primers were used as primers for the reverse transcription, a set of 2 predefined pools (Pool A and Pool B) of 380 RT primers each, which permits the simultaneous synthesis of cDNAs from mature miRNAs (Megaplex™ RT Primers Human Pool A, Part No.: 4399966; Human Pool B, Part No.: 4399968—Applied Biosystems). Final reaction volume (μL): 7.5.


Incubation Conditions for a Reaction Cycle:


16° C. 2 min


42° C. 1 min


50° C. 1 sec


85° C. 5 mm


4° C.


(for 40 cycles)


The cDNA thus produced was pre-amplified (2.5 μL of the 7.5 μL) using TaqMan PreAmp Master Mix (2×) (Part No.: 4384266—Applied Biosystems) and Megaplex™ PreAmp Primers, a set of 2 pools of gene-specific primers, forward and reverse (Megaplex™ PreAmp Primers, Human Pool A, Part no. 4399233; Human Pool B (Part no. 4399201—Applied Biosystems). Final reaction volume (μL): 25.


Incubation Conditions:


95° C. 10 min


55° C. 2 min


72° C. 2 min


95° C. 15 sec


60° C. 4 min×12 cycles


4° C.


The pre-amplified cDNA was used for the real-time PCR reaction. The reaction was conducted using TaqMan Universal PCR Master Mix, No Amperase UNG, 2× (Part No: 4326614—Applied Biosystems) in 900 final μL, loaded into 2 sets of microfluidic cards, TaqMan® Human MicroRNA Low Density Arrays (Part No.: 4400238—Applied Biosystems), with 384 wells each, containing TaqMan probes. Such analysis (Array A and Array B) enables the quantification of the gene expression levels of 665 miRNAs and of the related controls (http://www3.appliedbiosystems.com/cms/groups/portal/doc uments/generaldocuments/cms052133.xls).


The internal control ath-miR159a can be used to calculate the relative gene expression. The relative expression of each miRNA can be calculated using the equation 2−ΔCt, where ΔCt=CtmiRNA−Ctath-miR159a. The relative expression of each miRNA calculated by means of PCR can be analysed using statistical methods such as the t-test or ANOVA. The ΔCt data are submitted to “hierarchical clustering” analysis and the corresponding results are displayed in a graphical “heatmap” (see FIG. 2).


The “quantitative RT PCR” analysis showed the presence of 62 miRNAs, listed in Table 1, which are present in higher or lower quantities in subjects with hepatocellular carcinoma versus the controls.













TABLE 1









miRNA




higher

Sequence


miRNA
raw p-val
in
Target Sequence
Number







hsa-miR-223
1.69E−06
HD
UGUCAGUUUGUCAAAUACCCCA
SEQ ID






NO 28





hsa-miR-483-5p
3.17E−05
HCC
AAGACGGGAGGAAAGAAGGGAG
SEQ ID






NO 16





hsa-miR-16
3.75E−05
HD
UAGCAGCACGUAAAUAUUGGCG
SEQ ID






NO 33





hsa-miR-122
2.41E−04
HCC
UGGAGUGUGACAAUGGUGUUUG
SEQ ID






NO 14





hsa-miR-29°
2.93E−04
HD
UAGCACCAUCUGAAAUCGGUUA
SEQ ID






NO 36





hsa-miR-140-5p
3.73E−04
HD
CAGUGGUUUUACCCUAUGGUAG
SEQ ID






NO 31





hsa-miR-532-3p
3.98E−04
HD
CCUCCCACACCCAAGGCUUGCA
SEQ ID






NO 32





hsa-miR-590-5p
7.41E−04
HD
GAGCUUAUUCAUAAAAGUGCAG
SEQ ID






NO 37





hsa-miR-24
0.001326056
HD
UGGCUCAGUUCAGCAGGAACAG
SEQ ID






NO 41





hsa-miR-195
0.001366361
HD
UAGCAGCACAGAAAUAUUGGC
SEQ ID






NO 38





hsa-miR-197
0.001388423
HD
UUCACCACCUUCUCCACCCAGC
SEQ ID






NO 39





hsa-miR-643
0.002119931
HCC
ACUUGUAUGCUAGCUCAGGUAG
SEQ ID






NO 10





hsa-miR-93
0.002347399
HD
CAAAGUGCUGUUCGUGCAGGUAG
SEQ ID






NO 46





hsa-miR-222
0.00249573
HD
AGCUACAUCUGGCUACUGGGU
SEQ ID






NO 45





hsa-miR-571
0.002797201
HCC
UGAGUUGGCCAUCUGAGUGAG
SEQ ID






NO 13





has-miR-23°
0.002827722
HD
AUCACAUUGCCAGGGAUUUCC
SEQ ID






NO 23





hsa-miR-877
0.003071473
HCC
GUAGAGGAGAUGGCGCAGGG
SEQ ID






NO 9





hsa-miR-19b
0.003224636
HD
UGUGCAAAUCCAUGCAAAACUGA
SEQ ID






NO 43





hsa-miR-132
0.003554063
HD
UAACAGUCUACAGCCAUGGUCG
SEQ ID






NO 35





hsa-miR-520c-3p
0.004731762
HCC
AAAGUGCUUCCUUUUAGAGAGGGU
SEQ ID






NO 7





hsa-miR-19°
0.005161863
HD
UGUGCAAAUCUAUGCAAAACUGA
SEQ ID






NO 44





hsa-miR-885-5p
0.005185759
HCC
UCCAUUACACUACCCUGCCUCU
SEQ ID






NO 15





hsa-miR-188-5p
0.005383855
HCC
CAUCCCUUGCAUGGUGGAGGG
SEQ ID






NO 3





hsa-miR-494
0.005799115
HD
UGAAACAUACACGGGAAACCUC
SEQ ID






NO 34





hsa-miR-559
0.00580249
HCC
UAAAGUAAAUAUGCACCAAAA
SEQ ID






NO 12





hsa-miR-331-5p
0.007425596
HD
CUAGGUAUGGUCCCAGGGAUCC
SEQ ID






NO 30





hsa-miR-142-3p
0.007429025
HD
UGUAGUGUUUCCUACUUUAUGGA
SEQ ID






NO 53





hsa-miR-15b
0.010680858
HD
UAGCAGCACAUCAUGGUUUACA
SEQ ID






NO 47





hsa-miR-140-3p
0.011537802
HD
UACCACAGGGUAGAACCACGG
SEQ ID






NO 42





hsa-miR-25
0.012526199
HD
CAUUGCACUUGUCUCGGUCUGA
SEQ ID






NO 48





hsa-miR-760
0.012662118
HCC
CGGCUCUGGGUCUGUGGGGA
SEQ ID






NO 6





hsa-miR-199°-3p
0.014095253
HD
ACAGUAGUCUGCACAUUGGUUA
SEQ ID






NO 51





hsa-miR-655
0.014120932
HD
AUAAUACAUGGUUAACCUCUUU
SEQ ID






NO 49





hsa-miR-567
0.014409184
HCC
AGUAUGUUCUUCCAGGACAGAAC
SEQ ID






NO 19





hsa-miR-345
0.014628208
HD
GCUGACUCCUAGUCCAGGGCUC
SEQ ID






NO 55





hsa-miR-20°
0.015044568
HD
UAAAGUGCUUAUAGUGCAGGUAG
SEQ ID






NO 57





hsa-miR-365
0.015725587
HD
UAAUGCCCCUAAAAAUCCUUAU
SEQ ID






NO 50





hsa-miR-628-5p
0.01646383
HD
AUGCUGACAUAUUUACUAGAGG
SEQ ID






NO 21





hsa-miR-509-3p
0.017252065
HCC
UGAUUGGUACGUCUGUGGGUAG
SEQ ID






NO 5





hsa-miR-579
0.017330982
HD
UUCAUUUGGUAUAAACCGCGAUU
SEQ ID






NO 27





hsa-miR-223*
0.01885562
HCC
CGUGUAUUUGACAAGCUGAGUU
SEQ ID






NO 1





hsa-miR-99b*
0.022084232
HCC
CAAGCUCGUGUCUGUGGGUCCG
SEQ ID






NO 4





hsa-miR-145*
0.023664307
HD
GGAUUCCUGGAAAUACUGUUCU
SEQ ID






NO 29





hsa-miR-107
0.023735054
HD
AGCAGCAUUGUACAGGGCUAUCA
SEQ ID






NO 22





hsa-miR-1
0.02399486
HD
UGGAAUGUAAAGAAGUAUGUAU
SEQ ID






NO 25





hsa-miR-377
0.026372321
HD
AUCACACAAAGGCAACUUUUGU
SEQ ID






NO 26





hsa-miR-454
0.02798928
HD
UAGUGCAAUAUUGCUUAUAGGGU
SEQ ID






NO 54





hsa-let-7g
0.029252954
HD
UGAGGUAGUAGUUUGUACAGUU
SEQ ID






NO 61





hsa-miR-193°-5p
0.029725004
HD
UGGGUCUUUGCGGGCGAGAUGA
SEQ ID






NO 40





hsa-miR-451
0.03039734
HD
AAACCGUUUACCAUUACUGAGUU
SEQ ID






NO 60





hsa-let-7b
0.031215172
HD
UGAGGUAGUAGGUUGUGUGGUU
SEQ ID






NO 56





hsa-miR-625*
0.0320151
HD
GACUAUAGAACUUUCCCCCUCA
SEQ ID






NO 52





hsa-miR-191
0.035316132
HD
CAACGGAAUCCCAAAAGCAGCUG
SEQ ID






NO 59





hsa-miR-18b
0.036119234
HD
UAAGGUGCAUCUAGUGCAGUUAG
SEQ ID






NO 20





hsa-miR-375
0.036783654
HCC
UUUGUUCGUUCGGCUCGCGUGA
SEQ ID






NO 18





hsa-miR-210
0.038199093
HD
CUGUGCGUGUGACAGCGGCUGA
SEQ ID






NO 24





hsa-miR-573
0.038235087
HCC
CUGAAGUGAUGUGUAACUGAUCAG
SEQ ID






NO 8





hsa-miR-645
0.039255172
HCC
UCUAGGCUGGUACUGCUGA
SEQ ID






NO 11





hsa-miR-641
0.039353
HCC
AAAGACAUAGGAUAGAGUCACCUC
SEQ ID






NO 17





hsa-miR-19b-1*
0.04526782
HCC
AGUUUUGCAGGUUUGCAUCCAGC
SEQ ID






NO 2





hsa-miR-93*
0.04676072
HD
ACUGCUGAGCUAGCACUUCCCG
SEQ ID






NO 62





hsa-miR-186
0.04824365
HD
CAAAGAAUUCUCCUUUUGGGCU
SEQ ID






NO 58









In particular, Table 2 shows the miRNAs present in a higher quantity in the samples from subjects affected by hepatocellular carcinoma versus the healthy controls:











TABLE 2





MicroRNA

MIRNA


(miRNA)
MicroRNA(miRNA)
Sequence


Name
Sequence
Number







hsa-miR-223*
CGUGUAUUUGACAAGCUGAGUU
SEQ ID NO 1





hsa-miR-19b-1*
AGUUUUGCAGGUUUGCAUCCA
SEQ ID NO 2



GC






hsa-miR-188-5p
CAUCCCUUGCAUGGUGGAGGG
SEQ ID NO 3





hsa-miR-99b*
CAAGCUCGUGUCUGUGGGUCCG
SEQ ID NO 4





hsa-miR-509-3p
UGAUUGGUACGUCUGUGGGUAG
SEQ ID NO 5





hsa-miR-760
CGGCUCUGGGUCUGUGGGGA
SEQ ID NO 6





hsa-miR-520c-
AAAGUGCUUCCUUUUAGAGGGU
SEQ ID NO 7


3p







hsa-miR-573
CUGAAGUGAUGUGUAACUGAUC
SEQ ID NO 8



AG






hsa-miR-877
GUAGAGGAGAUGGCGCAGGG
SEQ ID NO 9





hsa-miR-643
ACUUGUAUGCUAGCUCAGGUAG
SEQ ID 




NO 10





hsa-miR-645
UCUAGGCUGGUACUGCUGA
SEQ ID 




NO 11





hsa-miR-559
UAAAGUAAAUAUGCACCAAAA
SEQ ID 




NO 12





hsa-miR-571
UGAGUUGGCCAUCUGAGUGAG
SEQ ID 




NO 13





hsa-miR-122
UGGAGUGUGACAAUGGUGUUUG
SEQ ID 




NO 14





hsa-miR-885-5p
UCCAUUACACUACCCUGCCUCU
SEQ ID 




NO 15





hsa-miR-483-5p
AAGACGGGAGGAAAGAAGGGAG
SEQ ID 




NO 16





hsa-miR-641
AAAGACAUAGGAUAGAGUCACC
SEQ ID 



UC
NO 17





hsa-miR-375
UUUGUUCGUUCGGCUCGCGUGA
SEQ ID 




NO 18





hsa-miR-567
AGUAUGUUCUUCCAGGACAGAAC
SEQ ID 




NO 19









In particular, Table 3 shows the miRNAs present in a lower quantity in the samples from subjects affected by hepatocellular carcinoma versus the healthy controls:











TABLE 3





MicroRNA

miRNA


(miRNA)
MicroRNA(miRNA)
Sequence


Name
Sequence
Number







hsa-miR-18b
UAAGGUGCAUCUAGUGCAGUUAG
SEQ ID NO 20





hsa-miR-
AUGCUGACAUAUUUACUAGAGG
SEQ ID NO 21


628-5p







hsa-miR-107
AGCAGCAUUGUACAGGGCUAUCA
SEQ ID NO 22





hsa-miR-23a
AUCACAUUGCCAGGGAUUUCC
SEQ ID NO 23





hsa-miR-210
CUGUGCGUGUGACAGCGGCUGA
SEQ ID NO 24





hsa-miR-1
UGGAAUGUAAAGAAGUAUGUAU
SEQ ID NO 25





hsa-miR-377
AUCACACAAAGGCAACUUUUGU
SEQ ID NO 26





hsa-miR-579
UUCAUUUGGUAUAAACCGCGAUU
SEQ ID NO 27





hsa-miR-223
UGUCAGUUUGUCAAUACCCCA
SEQ ID NO 28





hsa-miR-145*
GGAUUCCUGGAAAUACUGUUCU
SEQ ID NO 29





hsa-miR-
CUAGGUAUGGUCCCAGGGAUCC
SEQ ID NO 30


331-5p







hsa-miR-
CAGUGGUUUUACCCUAUGGUAG
SEQ ID NO 31


140-5p







hsa-miR-
CCUCCCACACCCAAGGCUUGCA
SEQ ID NO 32


532-3p







hsa-miR-16
UAGCAGCACGUAAAUAUUGGCG
SEQ ID NO 33





hsa-miR-494
UGAAACAUACACGGGAAACCUC
SEQ ID NO 34





hsa-miR-132
UAACAGUCUACAGCCAUGGUCG
SEQ ID NO 35





hsa-miR-29a
UAGCACCAUCUGAAAUCGGUUA
SEQ ID NO 36





hsa-miR-
GAGCUUAUUCAUAAAAGUGCAG
SEQ ID NO 37


590-5p







hsa-miR-195
UAGCAGCACAGAAAUAUUGGC
SEQ ID NO 38





hsa-miR-197
UUCACCACCUUCUCCACCCAGC
SEQ ID NO 39





hsa-miR-
UGGGUCUUUGCGGGCGAGAUGA
SEQ ID NO 40


193a-5p







hsa-miR-24
UGGCUCAGUUCAGCAGGAACAG
SEQ ID NO 41





hsa-miR-
UACCACAGGGUAGAACCACGG
SEQ ID NO 42


140-3p







hsa-miR-19b
UGUGCAAAUCCAUGCAAAACUGA
SEQ ID NO 43





hsa-miR-19a
UGUGCAAAUCUAUGCAAAACUGA
SEQ ID NO 44





hsa-miR-222
AGCUACAUCUGGCUACUGGGU
SEQ ID NO 45





hsa-miR-93
CAAAGUGCUGUUCGUGCAGGUAG
SEQ ID NO 46





hsa-miR-15b
UAGCAGCACAUCAUGGUUUACA
SEQ ID NO 47





hsa-miR-25
CAUUGCACUUGUCUCGGUCUGA
SEQ ID NO 48





hsa-miR-655
AUAAUACAUGGUUAACCUCUUU
SEQ ID NO 49





hsa-miR-365
UAAUGCCCCUAAAAAUCCUUAU
SEQ ID NO 50





hsa-miR-
ACAGUAGUCUGCACAUUGGUUA
SEQ ID NO 51


199a-3p







hsa-miR-625*
GACUAUAGAACUUUCCCCCUCA
SEQ ID NO 52





hsa-miR-
UGUAGUGUUUCCUACUUUAUGGA
SEQ ID NO 53


142-3p







hsa-miR-454
UAGUGCAAUAUUGCUUAUAGGGU
SEQ ID NO 54





hsa-miR-345
GCUGACUCCUAGUCCAGGGCUC
SEQ ID NO 55





hsa-let-7b
UGAGGUAGUAGGUUGUGUGGUU
SEQ ID NO 56





hsa-miR-20a
UAAAGUGCUUAUAGUGCAGGUAG
SEQ ID NO 57





hsa-miR-186
CAAAGAAUUCUCCUUUUGGGCU
SEQ ID NO 58





hsa-miR-191
CAACGGAAUCCCAAAAGCAGCUG
SEQ ID NO 59





hsa-miR-451
AAACCGUUACCAUUACUGAGUU
SEQ ID NO 60





hsa-let-7g
UGAGGUAGUAGUUUGUACAGUU
SEQ ID NO 61





hsa-miR-9
ACUGCUGAGCUAGCACUUCCCG
SEQ ID NO 62










FIG. 1 shows the values of the relative miRNA expression ratio between samples from subjects affected by hepatocellular carcinoma (HCC) and samples from healthy control subjects (HD). Values between 0 and 1 indicate overexpressed miRNAs in the healthy samples, whereas values greater than 1 refer to overexpressed miRNAs in the hepatocellular carcinoma samples.



FIG. 2 shows a graphical representation, by colour gradient (heatmap), of the ΔCt values for the 62 miRNAs differentially expressed, in a significant manner according to the t-test analysis, between unpaired samples, 10 from healthy subjects and 10 from subjects with hepatocellular carcinoma HCC (p-value <0.05). The gradient value goes from white (maximum expression, low ΔCt value) to black (minimum expression, maximum value). Columns: the 20 samples considered, 10 samples from healthy donors (code “DctHD#”) and 10 from donors affected by hepatocellular carcinoma (code “DctHCC#”), where “#” indicates the sample ID. Rows: the 62 significant miRNAs with corresponding standard names. Similarity relations between samples and between miRNAs based on their expression values are graphically expressed by the dendrograms in FIG. 2, calculated in an automatic (unsupervised) manner using the Euclidean distance method.


EXAMPLE 2

The presence of miRNAs was analysed in the peripheral blood of five subjects with hepatocellular carcinoma and the peripheral blood of the same subjects prior to the development of hepatocellular carcinoma, when they showed a clinical profile of cirrhosis, was used as the control.


A “quantitative RT PCR” analysis conducted and analysed as illustrated in example 1 showed the presence of 11 miRNAs, described in Table 4, which were present in a higher or lower quantity in subjects with hepatocellular carcinoma versus the controls.













TABLE 4









miRNA



raw p-
higher
Target
Sequence


miRNA
val
in
Sequence
Number







hsa-miR-
0.0032
HCC
GUUGUGUCAGUUU
SEQ ID NO 69


599


AUCAAAC






hsa-miR-
0.0049
HCC
GUCAUACACGGCU
SEQ ID NO 64


485-3p


CUCCUCUCU






hsa-miR-
0.0057
CIRR
UAGCACCAUCUGA
SEQ ID NO 36


29a


AAUCGGUUA






hsa-miR-
0.0184
CIRR
AUCACAUUGCCAG
SEQ ID NO 23


23a


GGAUUUCC






hsa-miR-
0.0202
CIRR
UGGGUCUUUGCGG
SEQ ID NO 40


193a-5p


GCGAGAUGA






hsa-miR-
0.0248
HCC
UAUGUGGGAUGGU
SEQ ID NO 65


299-3p


AAACCGCUU






hsa-miR-
0.0272
HCC
GCUACUUCACAAC
SEQ ID NO 63


138-1*


ACCAGGGCC






hsa-miR-
0.0292
CIRR
CAAAGUGCCUCCC
SEQ ID NO 67


519d


UUUAGAGUG






hsa-miR-
0.0306
HCC
UUUGGUCCCCUUC
SEQ ID NO 66


133b


AACCAGCUA






hsa-miR-
0.0347
HCC
CGGCUCUGGGUCU
SEQ ID NO 6


760


GUGGGGA






hsa-miR-
0.0352
CIRR
UGAUAUGUUUGAU
SEQ ID NO 68


190b


AUUGGGUU









In particular, the miRNAs shown in Table 5 were present in a higher quantity in the samples from subjects affected by hepatocellular carcinoma versus the cirrhotic subjects (controls):











TABLE 5







MicroRNA




(miRNA)


MicroRNA
MicroRNA(miRNA)
Sequence


(miRNA)
Sequence
Number







hsa-miR-138-1*
GCUACUUCACAACACCAGGGCC
SEQ ID NO 63





hsa-miR-760
CGGCUCUGGGUCUGUGGGGA
SEQ ID NO 6





hsa-miR-599
GUUGUGUCAGUUUAUCAAAC
SEQ ID NO 69





hsa-miR-485-3p
GUCAUACACGGCUCUCCUCUCU
SEQ ID NO 64





hsa-miR-299-3p
UAUGUGGGAUGGUAAACCGCUU
SEQ ID NO 65





hsa-miR-133b
UUUGGUCCCCUUCAACCAGCUA
SEQ ID NO 66









In particular, the miRNAs shown in Table 6 were present in a lower quantity in the samples from subjects affected by hepatocellular carcinoma versus the cirrhotic subjects (controls):











TABLE 6







MicroRNA


MicroRNA

(miRNA)


(miRNA)
MicroRNA(miRNA)
Sequence


Name
Sequence
Number







hsa-miR-23a
AUCACAUUGCCAGGGAUUUCC
SEQ ID NO 23





hsa-miR-193a-
UGGGUCUUUGCGGGCGAGAUGA
SEQ ID NO 40


5p







hsa-miR-519d
CAAAGUGCCUCCCUUUAGAGUG
SEQ ID NO 67





hsa-miR-29a
UAGCACCAUCUGAAAUCGGUUA
SEQ ID NO 36





hsa-miR-190b
UGAUAUGUUUGAUAUUGGGUU
SEQ ID NO 68










FIG. 3 shows the values of the relative miRNA expression ratio differentially expressed in cirrhotic subjects before and after the appearance of hepatocellular carcinoma. Values between 0 and 1 indicate overexpressed miRNAs in the healthy samples, whereas values greater than 1 refer to overexpressed miRNAs in the samples from subjects affected by hepatocellular carcinoma.



FIG. 4 shows a graphical representation, by colour gradient (heatmap), of the ΔCt values for the 11 miRNAs differentially expressed, in a significant manner according to the t-test analysis, between 5 blood samples from subjects affected by liver cirrhosis and 5 blood samples from the same cirrhotic subjects, who subsequently developed hepatocellular carcinoma. The gradient value goes from white (maximum expression, low ΔCt value) to black (minimum expression, maximum ΔCt value). Columns: the 10 samples considered, 5 cirrhotic samples (code “Dctcirr#”) and 5 hepatocellular carcinoma samples (code “DctHCC#”), where “#” indicates the sample ID. Rows: the 11 significant miRNAs with corresponding standard names.


Similarity relations between samples and between miRNAs, based on their expression values, are graphically expressed by the dendrograms in FIG. 4, calculated in an automatic (unsupervised) manner using the Euclidean distance method.

Claims
  • 1. A method for diagnosing or prognosticating hepatocellular carcinoma, also in the early stages, or for assessing the risk of developing hepatocellular carcinoma, or for monitoring the effectiveness of an anti-tumor therapy against hepatocellular carcinoma, comprising the step of measuring, in an isolated sample of peripheral blood or biological the overexpression of at least one miRNA gene product chosen from the group consisting of SEQ ID NO 1-19, SEQ ID NO 63-66 and SEQ ID 69, and the underexpression of at least one miRNA gene product chosen from the group consisting of SEQ ID NO 20-62 and SEQ ID NO 67-68, as compared to a reference expression level.
  • 2. The method according to claim 1, wherein a measurement is made of the overexpression of at least one miRNA gene product chosen from the group consisting of SEQ ID NO 6, 9, 12, 13, 14, 15, 16 and 65, and the underexpression of at least one miRNA gene product chosen from the group consisting of SEQ ID NO 23, 28, 30, 31, 33, 36, 37, 39, 40, 41 and 67, as compared to a reference expression level.
  • 3. The method according to claim 1, wherein said peripheral blood sample is chosen from among whole blood, blood peripheral niononucleated cells, serum or plasma; said biological fluid sample is chosen between urine or saliva
  • 4. The method according to claim 1, wherein said method for monitoring the effectiveness of an anti-tumor therapeutic treatment comprises measuring the alteration in the expression levels of at least one miRNA gene product in a sample of the test subject, as compared to a sample of the same subject in different phases of the anti-tumor therapeutic treatment.
  • 5. The method according to claim 1, wherein said method for monitoring the effectiveness of an anti-tumor therapeutic treatment comprises comparing peripheral blood samples from patients affected by hepatocellular carcinoma who are undergoing an anti-tumor therapeutic treatment and samples from patients affected by hepatocellular carcinoma who are not undergoing an anti-tumor therapeutic treatment and measuring the alteration in the expression levels of a miRNA gene product between the two groups of patients.
  • 6. The method according to claim 5, wherein said method is a method for diagnosing or assessing the risk of developing liver cirrhosis, or for prognosticating the evolution of liver cirrhosis in patients affected by cirrhosis, or for monitoring the effectiveness of a pharmacological therapy against liver cirrhosis.
  • 7. The method according to claim 1, for the identification of a new therapeutic target.
  • 8. A pharmaceutical composition comprising a pharmaceutically acceptable carrier and at least one isolated miRNA gene product according to claim 1 and/or a nucleic acid complementary thereto,
  • 9. A method for the treatment of hepatocellular carcinoma or for the treatment of liver cirrhosis comprising the administration of the compos tion according to claim 8.
Priority Claims (1)
Number Date Country Kind
MI2009A001538 Sep 2009 IT national
PCT Information
Filing Document Filing Date Country Kind 371c Date
PCT/IB10/54001 9/6/2010 WO 00 5/21/2012