Association study of miR‑149 rs2292832 and miR‑608 rs4919510 and the risk of hepatocellular carcinoma in a large‑scale population

  • Authors:
    • Rui Wang
    • Jun Zhang
    • Yanyun Ma
    • Linqi Chen
    • Shicheng Guo
    • Xiaojiao Zhang
    • Yunfang Ma
    • Lijun Wu
    • Xiaoyu Pei
    • Siran Liu
    • Jiucun Wang
    • Heping Hu
    • Jie Liu
  • View Affiliations

  • Published online on: September 4, 2014     https://doi.org/10.3892/mmr.2014.2536
  • Pages: 2736-2744
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Abstract

Polymorphisms in pre‑microRNAs (miRNAs) or mature miRNAs may influence miRNA processing or target binding, thus contributing to tumorigenesis and cancer development. The present study aimed to evaluate whether miR‑149 rs2292832 (C>T) and miR‑608 rs4919510 (G>C) are associated with the risk and clinical characteristics of hepatocellular carcinoma (HCC) in a large‑scale population. miR‑149 rs2292832 and miR‑608 rs4919510 were genotyped in a total of 993 patients with HCC and 992 unrelated healthy subjects by Sequenom MassARRAY. The results showed that, compared with the reference CC genotype, the TC+TT genotype of miR‑149 was more highly associated with HCC [CC vs. TC+TT: Odds ratio (OR)=1.384, 95% confidence interval (CI)=1.013‑1.892, P=0.041], and was also associated with an increased risk of hepatitis B virus (HBV)‑associated HCC (CC vs. TC+TT: OR=1.453, 95% CI=1.034‑2.042, P=0.031). However, no significant association between miRNA‑608 rs4919510 and the risk of HCC/HBV‑associated HCC was found. In addition, these two SNPs were shown not to be correlated with a range of clinical characteristics. The present study may provide an indicator for identification of the high risk of HCC in patients.

Introduction

Hepatocellular carcinoma (HCC) is one of the most common types of cancer worldwide, particularly in China (1). According to the latest Chinese cancer registration report, liver cancer accounts for the fourth highest morbidity and the second highest mortality rate of any type of cancer (2). In addition to hepatitis B (HBV) infection, other factors, including hepatitis C (HCV) infection, aflatoxin B1 exposure, genetic factors and excessive alcohol consumption also contribute to oncogenesis and development of HCC (3,4). However, the genetic factors are poorly understood and require further exploration. Furthermore, due to the low diagnostic accuracy and poor prognosis of HCC, investigation of highly efficient genetic biomarkers is essential.

MicroRNAs (miRNAs) are a class of small non-coding RNA molecules (~22 nucleotides in length), which, as critical post-transcriptional regulators, modulate gene expression or function through binding to the 3′-untranslated region of targets. miRNAs have been predicted to regulate half of all protein-coding genes in mammals (5). Single nucleotide polymorphisms (SNPs) in pri-, pre- or mature miRNAs, particularly in the seed regions, may influence the expression or target site selection of miRNAs, and thus they may be involved in a wide range of biological processes and increase the risk of cancer (6,7). Therefore, SNPs in miRNAs may be regarded as biomarkers for diagnosis and/or prognosis of cancers.

miR-149 rs2292832 (C>T) and miR-608 rs4919510 (G>C) have been predicted to be capable of influencing miRNA activities (8). miR-149 rs2292832 and mir-608 rs4919510 are involved in p53 signaling (9,10), and studies have confirmed that they are linked to the susceptibility to certain types of cancer, including lung (11), gastric (12) and breast cancer (13), as well as head and neck squamous cell carcinoma (14) and colorectal cancer (12,15). In particular, a previous study showed that miR-149 rs2292832 was associated with the risk of HCC in Korean individuals (16). No confirmation of this association in large and other ethnic populations has been reported, to the best of our knowledge. In addition, no studies have been performed to investigate the association between miR-608 rs4919510 and the risk of HCC to the best of our knowledge. Therefore, the present study aimed to determine whether these two polymorphisms were associated with HCC in a large-scale Chinese population.

Materials and methods

Patients

The final analysis in the present study consisted of 993 cases of HCC and 992 controls from an Eastern Chinese population sample collected from Huashan Hospital (Shanghai, China), Eastern Hepatobiliary Surgery Hospital (Shanghai, China) and CMC Institute of Health Sciences (Taizhou, China) as described previously (17). All patients were diagnosed by pathological or imaging evidence, while all controls were healthy without a family history of cancer or other serious diseases. Clinical characteristics collected included age, gender, family history, smoking status, alcohol use, serum α fetoprotein (AFP) levels, hepatitis B surface antigen (HBsAg) status, HBV-DNA titer, alanine transaminase (ALT) levels, aspartate aminotransferase (AST) levels, total bilirubin levels, tumor number/size and tumor grade. This study was approved by the Human Research Review Committee of Huashan Hospital, Fudan University (Shanghai, China). All patients or their families provided written informed consent.

DNA extraction

Genomic DNA was extracted from whole blood using the AxyPrep™ Blood Genomic DNA Miniprep kit (Axygen Biosciences, Union City, NJ, USA). Electrophoresis and concentration determination were performed for all DNA samples to ensure the accuracy of subsequent experiments. The concentration determination was conducted by NanoDrop 2000c Spectrophotometer (Thermo Fisher Scientific, Waltham, MA, USA). After NanoDrop software was opened and nucleic acid application was selected, 1 μl H2O was pipetted on the pedestal for blank measurement, and then 1 μl DNA sample was loaded onto the lower optical surface to measure its concentration. DNA samples with distinct strips in the electrophoresis gel and a concentration >10 ng/μl were selected for further genotyping by Sequenom MassARRAY (Sequenom, San Diego, CA, USA).

Genotyping

The SNPs, miR-149 rs2292832 (C>T) and miR-608 rs4919510 (G>C), were genotyped using Sequenom MassARRAY technology. Polymerase chain reaction (PCR) primers were designed using MassARRAY Assay Design software version 3.1 (Sequenom), and synthesized by Shanghai Invitrogen Biotechnology Co., Ltd. (Shanghai, China). The primer sequences are listed in Table I. Sequencing was performed using the MassARRAY Analyzer Compact system (Sequenom) and analyzed by TYPER 4.0 (Sequenom).

Table I

Selected two SNP sites in the miRNAs.

Table I

Selected two SNP sites in the miRNAs.

SNP IDSubstitutesmiRNASNP locationChromosome start-stop siteAmplification primersExtension primer
rs2292832C/Thsa-mir-149241395503 (stem-loop structure) chr2:241395418-241395506 ACGTTGGATGAACTCGCCCAGCCGGCCC
ACGTTGGATGTCTTCACTCCCGTGCTTGTC
GACCTGCGTTGTTCC
rs4919510G/Chsa-mir-608102734778 (mat) chr10:102734742-102734841 ACGTTGGATGATGGAAGCTCTTGGAGATGC
ACGTTGGATGAAGATCCACTGGGCCAAGGT
GGAGATGCCTTTTTAAACG

[i] SNP, single nucleotide polymorphism; miRNA, microRNA; hsa, Homo sapiens.

Statistical analysis

The Statistical Package for Social Sciences (version 13.0; SPSS, Inc., Chicago, IL, USA) and Excel (Microsoft Corporation, Redmont, WA, USA) was applied to conduct the data analysis. Binary logistic regression was used to evaluate the correlation between the risk of HCC and the two SNPs adjusted to smoking, alcohol use and other confounding factors. Odds ratios (ORs) and 95% confidence intervals (CI) were also calculated in order to estimate the relative risk. Pearson’s χ2 test was performed to verify whether the sample obeyed the Hardy-Weinberg Equilibrium by comparing the observed genotype frequencies with the expected ones. The association between clinicopathological characteristics and genotypic/allelic frequencies in the patients with HCC was also conducted by Pearson’s χ2 test. For the other quantitative variables which had heterogeneity of variance or non-normal distributions, analysis of variance or nonparametric tests were applied. All statistical tests were two-sided and probability levels <0.05 were used as a criterion of significance.

Results

General characteristics of the subjects

As Eastern China, including Jiangsu and Zhejiang provinces, is one of the main high-prevalence regions for HCC (2), a total of 993 patients with HCC and 992 healthy subjects were enrolled from the aforementioned provinces in the present study. The overview of the enlisted samples is presented in Table II. In terms of the distributions of age, gender and smoking status, significant differences between the cases and controls were identified: The control group had a higher age, higher female ratio and higher smoking ratio.

Table II

General characteristics in patients with HCC and controls, n (%) or mean ± standard deviation.

Table II

General characteristics in patients with HCC and controls, n (%) or mean ± standard deviation.

CharacteristicCases (n=993)Controls (n=992)P-value
Age (years)54.63±11.2659.55±11.63<0.001a
Gender
 Male816 (82.2)720 (72.6)<0.001a
 Female177 (17.8)272 (27.4)
Smoking status
 Never663 (67.7)523 (52.7)<0.001a
 Ever317(32.3)469 (47.3)
Alcohol status
 Never733 (74.6)731 (73.7)0.628
 Ever249 (25.4)261 (26.3)-
HBsAg (n=938)
 Negative179 (18.9)--
 Positive768 (81.1)--
Tumor size (n=536)
 <5 cm218 (40.3)--
 ≥5 cm323 (59.7)--
Tumor number (n=535)
 Single477 (88.3)--
 Multiple63 (11.7)--
Tumor grade (n=382)
 I–II85 (22.0)--
 III–IV301 (78.0)--
Serum level of tumor markers
 ALT (U/l, in 986 subjects)58.51±86.21--
 AST (U/l, in 982 subjects)62.18±81.12--
AFP
 <20 μg/l361 (37.2)--
 ≥20 μg/l609 (62.8)--
(μg/l, in 402 subjects)127.32±289.25 (0.7–1210)--
HBV-DNA (IU/ml, in 450 subjects) 1.749×106±5.430×106 (1000–6.9×107)--

a P<0.05 between the cases and controls.

{ label (or @symbol) needed for fn[@id='tfn3-mmr-10-05-2736'] } HCC, hepatocellular carcinoma; HBV, hepatitis B virus; HBsAg, hepatitis B surface antigen; ALT, alanine transaminase; AST, aspartate aminotransferase; AFP, α fetoprotein.

miRNA SNPs and the risk of HCC

Genotyping for rs2292832 and rs4919510 was successful in 1,928 and 1,985 subjects, respectively. The genotype distributions of the two SNPs in the case and control groups conformed to the Hardy-Weinberg Equilibrium. Table III shows that the frequency distribution of the miR-149 rs2292832 genotype was significantly different between the patients with HCC and the control group following adjustment of age, gender, smoking and alcohol consumption status. Compared with that of the wild type CC, the TT genotype was associated with an increased risk of HCC (OR=1.401, 95% CI=1.007–1.950, P=0.046); however, the genotype was not correlated with that of HBV-associated HCC (OR=1.419, 95% CI=0.990–2.034, P=0.057). According to the genetic model analysis, in comparison with that of the wild-type CC, the TC+TT genotype was correlated with a higher risk of HCC (OR=1.384, 95% CI=1.013–1.892, P=0.041), as well as that of HBV-associated HCC (OR=1.453, 95% CI=1.034–2.042, P=0.031), indicating its dominant manner. Furthermore, further gender analysis (Table IV) implicated the association in males. Male subjects with the miR-149 TT genotype were associated with an increased risk of HCC/HBV-associated HCC as compared with the CC genotypes (HCC, OR=1.684, 95% CI=1.134–2.501, P=0.010; HBV-associated HCC, OR=1.649, 95% CI=1.079–2.519, P=0.021, respectively). However, in females, this association was not identified (Table V).

Table III

Association between genotypes/alleles of two miRNA SNPs and the risk of HCC.

Table III

Association between genotypes/alleles of two miRNA SNPs and the risk of HCC.

GenotypesControls
n (%)
HCC patientsHCC patients with HBV


n (%)OR (95% CI)aP-valuean (%)OR (95% CI)aP-valuea
miR-149 rs2292832n=984n=944n=729
CC92 (9.3)104 (11.0)1.00081 (11.1)1.000
TC414 (42.1)386 (40.9)1.023 (0.837–1.250)0.827307 (42.1)0.957 (0.768–1.193)0.696
TT478 (48.6)454 (48.1)1.401 (1.007–1.950)0.046b341 (46.8)1.419 (0.990–2.034)0.057
Dominant model (CC vs. TC+TT)1.384 (1.013–1.892)0.041b1.453 (1.034–2.042)0.031b
Recessive model (CC+TC vs. TT)0.956 (0.791–1.155)0.6410.893 (0.726–1.100)0.287
C598 (0.3)594 (0.3)1.000468 (32.1)1.000
T1370 (0.7)1294 (0.7)1.103 (0.954–1.274)0.186988 (67.9)0.869 (0.742–1.018)0.082
miR-608 rs4919510n=992n=993n=768
GG318 (32.1)304 (30.6)1.000232 (30.2)1.000
GC497 (50.1)500 (50.3)1.019 (0.790–1.315)0.884393 (51.2)0.970 (0.733–1.282)0.830
CC177 (17.8)189 (18.9)0.958 (0.775–1.186)0.695143 (18.6)0.946 (0.749–1.195)0.641
Dominant model (GG vs. GC+CC)0.953 (0.779–1.166)0.6431.049 (0.840–1.309)0.674
Recessive model (GG+GC vs. CC)1.036 (0.814–1.318)0.7740.991 (0.760–1.291)0.944
G1133 (0.6)1108 (0.6)1.000856 (55.8)1.000
C851 (0.4)878 (0.4)1.023 (0.896–1.170)0.733678 (44.2)1.013 (0.875–1.173)0.861

a ORs and P-values were all obtained after adjustment regarding to age, gender, smoking status and alcohol use status.

b P<0.05 compared with the controls or between the comparison specified.

{ label (or @symbol) needed for fn[@id='tfn6-mmr-10-05-2736'] } miRNA, microRNA; SNP, single nucleotide polymorphism; HCC, hepatocellular carcinoma; OR, odds ratio; CI, confidence interval; HBV, hepatitis B virus.

Table IV

Comparison of genotype/allele frequencies of two miRNA polymorphisms in male subjects.

Table IV

Comparison of genotype/allele frequencies of two miRNA polymorphisms in male subjects.

GenotypesControls
n (%)
HCC patientsHCC patients with HBV


n (%)OR (95% CI)aP-valuean (%)OR (95% CI)aP-valuea
miR-149 rs2292832n=717n=772n=606
CC56 (7.8)83 (10.8)1.00065 (10.7)1.000
TC309 (43.1)318 (41.2)1.062 (0.845–1.333)0.608257 (42.4)0.996 (0.779–1.274)0.976
TT352 (49.1)371 (48.0)1.684 (1.134–2.501)0.010b284 (46.9)1.649 (1.079–2.519)0.021b
Dominant model (CC vs. TC+TT)1.631 (1.120–2.374)0.011b0.605 (0.404–0.906)0.015b
Recessive model (CC+TC vs. TT)0.965 (0.778–1.198)0.7490.911 (0.721–1.151)0.434
C421 (27.4)484 (31.3)1.000386 (31.9)1.000
T1013 (72.6)1060 (68.7)0.881 (0.747–1.040)0.135824 (68.1)0.856 (0.716–1.024)0.089
miR-608 rs4919510n=720n=816n=640
GG227 (31.5)241 (29.5)1.000185 (28.9)1.000
GC361 (50.2)415 (50.9)1.044 (0.783–1.391)0.770333 (52.0)0.976 (0.716–1.332)0.880
CC132 (18.3)160 (19.6)0.933 (0.730–1.191)0.577122 (19.1)0.898 (0.689–1.170)0.424
Dominant model (GG vs. GC+CC)0.922 (0.731–1.162)0.4910.903 (0.703–1.162)0.428
Recessive model (GG+GC vs. CC)1.072 (0.817–1.406)0.6181.016 (0.757–1.365)0.914
G815 (56.6)897 (55.0)1.000703 (54.9)1.000
C625 (43.4)735 (45.0)1.047 (0.900–1.219)0.552577 (45.1)1.017 (0.867–1.194)0.834

a ORs and P values were obtained after the adjustment of age, gender, smoking status and wine status.

b P<0.05 compared with the controls or between the comparison specified.

{ label (or @symbol) needed for fn[@id='tfn9-mmr-10-05-2736'] } miRNA, microRNA; HCC, hepatocellular carcinoma; OR, odds ratio; CI, confidence interval; HBV, hepatitis B virus.

Table V

Comparison of genotype/allele frequencies of two miRNA polymorphisms in female subjects.

Table V

Comparison of genotype/allele frequencies of two miRNA polymorphisms in female subjects.

GenotypesControls
n (%)
HCC patientsHCC patients with HBV


n (%)OR (95% CI)aP-valuean (%)OR (95% CI)aP-valuea
miR-149 rs2292832n=267n=172n=123
CC36 (13.5)21 (12.2)1.00016 (13.0)1.000
TC105 (39.3)68 (39.5)0.941 (0.612–1.447)0.78250 (40.7)0.949 (0.462–1.948)0.886
TT126 (47.2)83 (48.3)0.895 (0.474–1.689)0.73157 (46.4)0.825 (0.500–1.360)0.451
Dominant model (CC vs. TC+TT)0.924 (0.512–1.670)0.7941.053 (0.540–2.052)0.879
Recessive model (CC+TC vs. TT)0.968 (0.649–1.444)0.8720.836 (0.526–1.330)0.451
C177 (33.2)110 (32.0)1.00082 (33.3)1.000
T357 (66.8)234 (68.0)0.978 (0.724–1.321)0.883164 (66.7)1.086 (0.768–1.535)0.642
miR-608 rs4919510n=272n=177n=128
GG91 (33.5)63 (35.6)1.00047 (36.7)1.000
GC136 (50.0)85 (48.0)0.928 (0.528–1.633)0.79760 (46.9)0.928 (0.480–1.794)0.825
CC45 (16.5)29 (16.4)1.053 (0.681–1.628)0.81821 (16.4)1.149 (0.694–1.901)0.590
Dominant model (GG vs. GC+CC)1.072 (0.709–1.622)0.7421.170 (0.725–1.886)0.521
Recessive model (GG+GC vs. CC)0.909 (0.532–1.554)0.7280.877 (0.469–1.639)0.681
G318 (58.5)211 (59.6)1.000154 (60.2)1.000
C226 (41.5)143 (40.4)0.940 (0.708–1.248)0.668102 (39.8)0.891 (0.640–1.239)0.492

a ORs and P values were obtained after adjusting for age, gender, smoking status and wine status.

b P<0.05 compared with the controls or between the comparison specified.

{ label (or @symbol) needed for fn[@id='tfn12-mmr-10-05-2736'] } miRNA, microRNA; HCC, hepatocellular carcinoma; OR, odds ratio; CI, confidence interval HBV, hepatitis B virus.

As for miR-608 rs4919510, the frequency distributions of genotypes or alleles did not display statistically significant differences between the cases and the controls of HCC/HBV-associated HCC (P>0.05).

miRNA-499 and miR-608 polymorphisms and clinicopathological characteristics

Whether clinicopathological characteristics have an association with the distribution of genotypes/alleles was further analyzed. As shown in Table VI, no significant differences were discovered, implying that the two SNPs were uncorrelated with clinicopathological characteristics.

Table VI

Clinicopathological characteristics and genotype/allele frequencies of miR-149 and miR-608 polymorphisms in patients with HCC, n (%) or mean ± standard deviation.

Table VI

Clinicopathological characteristics and genotype/allele frequencies of miR-149 and miR-608 polymorphisms in patients with HCC, n (%) or mean ± standard deviation.

IndexesGenotypeP-valueAlleleP-value
Tumor size
 miR-149 rs2292832CCTCTT0.720CT0.430
  <5 cm23 (11.0)88 (41.9)99 (47.1)134 (31.9)286 (68.1)
  ≥5 cm40 (13.1)129 (42.3)136 (44.6)209 (34.3)401 (65.7)
 miR-608 rs4919510GGGCCC0.514GC0.257
  <5cm57 (26.1)111 (50.9)50 (22.9)225 (51.6)211(48.4)
  ≥5cm98 (30.3)160 (49.5)65 (20.1)356 (55.1)290 (44.9)
Tumor focus number
 miR-149 rs2292832CCTCTT0.650CT0.344
  Single57 (12.6)193 (42.5)204 (44.9)307 (33.8)601 (66.2)
  Multiple6 (9.8)24 (39.3)31 (50.8)36 (29.5)86 (70.5)
 miR-608 rs4919510GGGCCC0.430GC0.205
  Single140 (29.4)239 (50.1)98 (20.5)519 (54.4)435 (45.6)
  Multiple15 (23.8)31 (49.2)17 (27.0)61 (48.4)65 (51.6)
Tumor grade
 miR-149 rs2292832CCTCTT0.971CT0.908
  I–II11 (13.6)34 (42.0)36 (44.4)56 (34.6)106 (65.4)
  III–IV40 (13.8)117 (40.5)132 (45.7)197 (34.1)381 (65.9)
 miR-608 rs4919510GGGCCC0.818GC0.538
  I–II27 (31.8)42 (49.4)16 (18.8)96 (56.5)74 (43.5)
  III–IV86 (28.5)153 (50.7)63 (20.8)325 (53.8)279 (46.2)
AFP
 miR-149 rs2292832CCTCTT0.460CT0.264
  <20 μg/l36 (10.4)134 (38.6)177 (51.0)206 (29.7)488 (70.3)
  ≥20 μg/l64 (11.1)242 (42.1)269 (46.8)370 (32.2)780 (67.8)
 miR-608 rs4919510GGGCCC0.355GC0.684
  <20 μg/l103 (28.5)192 (53.2)66 (18.3)398 (55.1)324 (44.9)
  ≥20 μg/l194 (31.9)295 (48.4)120 (19.7)683 (56.1)535 (43.9)
Total bilirubin
 miR-149 rs2292832CCTCTT0.831---
19.49±36.9918.03±16.5118.64±28.17--
 miR-608 rs4919510GGGCCC0.609---
17.87±15.4118.69±27.8317.87±15.41--
Direct bilirubin
 miR-149 rs2292832CCTCTT0.884---
9.58±28.658.36±12.658.51±20.00--
 miR-608 rs4919510GGGCCC0.564---
10.01±29.188.63±20.147.95±10.91--
Indirect bilirubin
 miR-149 rs2292832CCTCTT0.847---
9.98±8.879.71±5.189.71±6.94--
 miR-608 rs4919510GGGCCC0.416---
10.14±8.799.65±6.8710.00±5.58--
ALT (U/l)
 miR-149 rs2292832CCTCTT0.456---
54.43±88.6360.95±88.8655.45±77.07--
 miR-608 rs4919510GGGCCC0.227---
61.23±86.0656.76±85.2358.78±89.34--
AST (U/l)
 miR-149 rs2292832CCTCTT0.106---
52.34±61.2866.4±91.0461.77±79.19--
 miR-608 rs4919510GGGCCC0.888---
64.20±88.5761.30±76.6261.27±80.55--
HBV-DNA (IU/ml)
 miR-149 rs2292832CCTCTT0.526---
8.72×105±1.59×106 2.27×106±7.38×106 1.42×106±3.61×106--
 miR-608 rs4919510GGGCCC0.456---
2.92×106±8.33×106 1.23×106±3.24×106 1.10×106±2.76×106--

[i] miRNA, microRNA; HCC, hepatocellular carcinoma; HBsAg, hepatitis B surface antigen; HBV, hepatitis B virus; ALT, alanine transaminase; AST, aspartate aminotransferase; AFP, α fetoprotein.

Discussion

Aberrant miRNA expression or function may alter a wide variety of physiological processes. SNPs in miRNA genes are able to influence the biogenesis and functions of their host miRNAs, and thus they participate in the susceptibility of developing complicated diseases (4). The present study identified for the first time, to the best of our knowledge, that rs2292832 in miR-149 had significant correlation with genetic predisposition to HCC and HBV-associated HCC in a large-scale Chinese population, while no correlation existed between miR-608 rs4919510 and the risk of HCC/HBV-associated HCC. Furthermore, the two SNPs lacked an association with the clinical characteristics recorded.

miR-149 functions as a tumor suppressor by promoting apoptosis through repression of Akt1 and E2F1 (as observed in HeLa cells and the Be2C neuroblastoma cell line) (18), by inhibiting epithelial-to-mesenchymal transition by targeting of Forkhead box M1 (in lung cancer cells) (19), or by targeting of the zinc finger and BTB domain containing 2 oncogene (in gastric cancer) (20). miR-149 is also a tumor oncogene regulator which is involved in the increased expression levels of myeloid cell leukemia sequence 1 (in human melanoma) (10). However, whether miR-149 is involved in the carcinogenesis and development of HCC remains unknown. To the best of our knowledge, there is only one study that has suggested an association between the miR-149 rs2292832 polymorphism and HCC/HBV-HCC, and the study used a small Korean sample (cases/controls = 159:201) (16). With a larger Chinese sample, the present study disclosed that individuals with the TC+TT genotype had a higher risk of HCC/HBV-associated HCC, compared with that of individuals with the CC genotypes. As the T variant in pre-miRNA-149 may prohibit the expression of mature miR-149 (14), the findings of the present study indicated that miR-149, as a tumor suppressor, was downregulated in subjects with the TC+TT genotypes and thus resulted in an increased risk of HCC.

miR-608 is mapped in the 10q24 locus, at which a loss of heterozygosity exists in certain types of tumor, including colorectal, prostate, pancreatic and brain (2123). A variant, rs4919510, is embodied in the mature sequence of miR-608, within an intron of sema domain, immunoglobulin domain (Ig), transmembrane domain (TM) and short cytoplasmic domain (semaphorin) 4G (24). A study predicted that common/variant miR-608 binds to its targets, including acyl-CoA dehydrogenase, CD4, growth hormone receptor, retinoid X receptor β and tumor protein p53 (involved in hepatocarcinogenesis), with different levels of energy and result in different biological activities (25). Furthermore, miR-605 may create a positive feedback loop by assisting the rapid accumulation of p53 in response to stress through interruption of the p53:Mdm2 interaction (9). Therefore, it was assumed that the variant may influence the risk of HCC, serving as a predictive biomarker. However, the results of the present study showed that miR-608 rs4919510 was not correlated with the risk of HCC/HBV-associated HCC, or clinical features, at least in the population studied.

In conclusion, to the best of our knowledge, the results of the present study demonstrated for the first time that the miR-149 rs2292832 polymorphism may influence genetic predisposition to HCC/HBV-associated HCC in the Chinese population, particularly in males, while the miR-608 rs4919510 polymorphism lacked such association in the studied population. The present study lays a foundation for further studies regarding the function of miR-149 in HCC by suggesting that miR-149 may be useful as an indicator for early detection of HCC risk.

Acknowledgements

This study was supported by grants from the National Natural Science Foundation of China (nos. 81125001 and 91129702), the Ministry of Science and Technology of the People’s Republic of China (no. 2010CB732405) and the Shanghai Municipal Science and Technology Commission (nos. 12JC1402000 and 12410705300).

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November-2014
Volume 10 Issue 5

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Online ISSN:1791-3004

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Copy and paste a formatted citation
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Spandidos Publications style
Wang R, Zhang J, Ma Y, Chen L, Guo S, Zhang X, Ma Y, Wu L, Pei X, Liu S, Liu S, et al: Association study of miR‑149 rs2292832 and miR‑608 rs4919510 and the risk of hepatocellular carcinoma in a large‑scale population. Mol Med Rep 10: 2736-2744, 2014.
APA
Wang, R., Zhang, J., Ma, Y., Chen, L., Guo, S., Zhang, X. ... Liu, J. (2014). Association study of miR‑149 rs2292832 and miR‑608 rs4919510 and the risk of hepatocellular carcinoma in a large‑scale population. Molecular Medicine Reports, 10, 2736-2744. https://doi.org/10.3892/mmr.2014.2536
MLA
Wang, R., Zhang, J., Ma, Y., Chen, L., Guo, S., Zhang, X., Ma, Y., Wu, L., Pei, X., Liu, S., Wang, J., Hu, H., Liu, J."Association study of miR‑149 rs2292832 and miR‑608 rs4919510 and the risk of hepatocellular carcinoma in a large‑scale population". Molecular Medicine Reports 10.5 (2014): 2736-2744.
Chicago
Wang, R., Zhang, J., Ma, Y., Chen, L., Guo, S., Zhang, X., Ma, Y., Wu, L., Pei, X., Liu, S., Wang, J., Hu, H., Liu, J."Association study of miR‑149 rs2292832 and miR‑608 rs4919510 and the risk of hepatocellular carcinoma in a large‑scale population". Molecular Medicine Reports 10, no. 5 (2014): 2736-2744. https://doi.org/10.3892/mmr.2014.2536