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Association between underexpression of microrna-203 and clinicopathological significance in hepatocellular carcinoma tissues

Cancer Cell International volume 15, Article number: 62 (2015) Cite this article

Abstract

Background

Although recent studies have shown the utility of miR-203 as a cancer-relevant biomarker, the validated clinical significance of miR-203 in HCC remains obscure. The aim of the present study was to evaluate the relationship between miR-203 expression and clinicopathological features in HCC patients.

Methods

MiR-203 expression in 95 formalin-fixed, paraffin embedded (FFPE) HCC tissues and their paired adjacent non-cancerous tissues was evaluated by quantitative reverse transcription polymerase chain reaction (qRT-PCR). Simultaneously, expression of miR-203 and its correlation with a variety of clinicopathological parameters and patient recurrence was analyzed.

Results

The relative level of miR-203 was 1.1651 ± 0.70378 in HCC tissues, significantly lower than its expression in the corresponding adjacent non-cancerous liver tissues (2.2408 ± 0.75351, P < 0.001). The area under curve (AUC) of low miR-203 expression to diagnose HCC was 0.85 (95 % CI: 0.796 ~ 0.904, P = 0.027) at a cut-off value 1.99 evaluated by the median expression of miR-203 in all tissues, including HCC and normal liver tissues. Expression of miR-203 was negatively correlated to metastasis (r = −0.254, P = 0.013), clinical tumor nodes metastasis (TNM) stage (r = −0.300, P = 0.003), nm23 expression (r = −0.292, P = 0.004), p21 expression (r = −0.223, P = 0.030), microvessel density (MVD)(r = −0.206, P = 0.045) and was positively correlated to cirrhosis (r = 0.487, P < 0.001). Additionally, the recurrent time of lower miR-203 expression group was 57.949 ± 4.184 months, slightly longer than that in the high expression group (54.682 ± 2.591 months), however, no significant difference was noted (Chi-square = 0.206, P = 0.650).

Conclusions

MiR-203 plays a vital role in the carcinogenesis and progression of HCC, which makes itself as a predictor for the deterioration of HCC. Furthermore, miR-203 may become a new target for molecular therapy in HCC.

Background

Hepatocellular carcinoma (HCC), with a 5-year survival rate of only 9 %, is the fifth most frequent malignancy and the third most common cause of cancer mortality worldwide [1–3]. The incidence of HCC is higher in male compared to the female. Among all cases, over 80 % of HCC patients occur in East Asia and sub-Saharan Africa, meanwhile, the incidence has increased substantially in Europe and the United States. Studies have shown that HCC resulted in 650,000 or more deaths per year all over the world, among which, three quarters occurred in East Asian countries [4, 5]. Multiple etiological factors contribute to the carcinogenesis and progression of HCC, for instance, infection of hepatitis B virus (HBV) or hepatitis C virus (HCV) and long-term exposure to some chemical agents (alcohol or aflatoxin B1) [6–9]. During the process of HCC development, gene expression, cell apoptosis, cell migration, vaso-invasion and capsule infiltration play essential roles [10]. HCC patients with advanced TNM stages or metastasis face a high incidence of recurrence and a dismal outcome [11]. It arouses our interest to improve the prognosis, to enhance the survival and to reduce the recurrence rate of HCC. Therefore, it is of vital importance to identify reliable biomarkers for the prediction of HCC and its recurrence along with to elucidate its role in HCC treatment.

MicroRNAs (miRNAs), an abundant class of endogenous, small, non-coding RNAs, have been identified as gene expression regulators [12, 13]. By binding to partially complementary or fully complementary sites within the 3′-untranslated region (UTR) of target messenger RNAs (mRNAs), miRNAs can trigger the translational repression, or deadenylation and degradation of mRNA [14, 15]. Recent studies have implicated that miRNAs are involved in a wide range of important biologic processes and essential tumorigenesis, including cellular growth and differentiation, developmental timing, modulation of host response to viral infection, proliferation, invasion and apoptosis [9, 16, 17].

Previous studies have indicated that microRNA-203 (miR-203) exhibited significantly down-regulated expression in prostate cancer [18], hematopoietic malignancy [19], colon cancer [20]. Other studies have shown that the low level expression of miR-203 played an important role in cell proliferation in the human head and neck squamous cell carcinoma, chronic myelogenous leukemia and B cell leukemia [21]. Concerning HCC, one study based on liver cancer cell lines identified that miR-203 was a tumor-suppressor gene silenced through tumor-specific DNA methylation in HCC [22]. Another study found that expression of miR-203 was low in tumor tissues of patients with post-LT (liver transplantation) HCC with recurrence compared to those in patients with non-recurrence [23]. However, aberrant expression of miR-203 between HCC and the paired non-cancerous liver tissues, as well as its clinicopathological significance in HCC has not been documented. Therefore, we aimed to quantify miR-203 expression in HCC tissues and compare it with the matched adjacent normal tissues in order to investigate the correlation between miR-203 expression and clinicopathological features, especially metastasis and recurrence in HCC patients.

Results

Characteristics of the HCC patients

The clinicopathological features of 95 HCC patients were shown in Table 1. All patients only underwent liver resection and nobody received any local ablative therapy (percutaneous ethanol injection PEI, radiofrequency ablation RFA), transhepatic arterial chemotherapy and embolization (TACE) or transhepatic arterial radioembolization (TARE) before liver resection. The majority of patients had well-differentiated or moderate-differentiated HCC while 29 patients (30.53 %) were poor-differentiated. Tumor sizes ranged from 1 to 11 cm (mean size, 6.4 cm). Vascular invasion was presented in 36 patients (37.89 %) while 50 patients presented with tumor capsule infiltration (52.63 %). Thirty-eight patients (40 %) had elevated serum alpha fetal protein (AFP) levels (400 ng/ml). The mean time of follow-up was 33.13 ± 1.71 months (range: 2.68–68.00 months). Of the 70HCC patients included in the follow-up, 59 had recurrent tumors and 11 were dead or censored at the end of follow-up.

Table 1 Relationship between miR-203 expression and clinicopathological features in HCC
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Value of miR-203 in the diagnosis of HCC

There was a significant difference of relative miR-203 expression between HCC and the paired adjacent non-cancerous liver tissues. The relative level of miR-203 was 1.17 ± 0.70 in HCCs, significantly lower than that of the adjacent non-cancerous liver tissues (2.24 ± 0.75, P < 0.001, Fig. 1a, b). Additionally, we conducted ROC curve to identify the diagnostic role of miR-203 in HCC. The area under curve (AUC) of miR-203 was 0.85 (95 % CI: 0.796 ~ 0.904, P = 0.027, Fig. 1c) at a cut-off value of 1.99.

Fig. 1
figure 1

Expression of miR-203 in adjacent non-cancerous liver and HCC tissues. Quantitative real-time PCR was performed to detect the expression of miR-203. a: Relative expression of miR-203 in adjacent non-cancerous liver and HCC tissues (dot plots with lines linking each pairs). b: The difference of relevant miR-203 expression between adjacent non-cancerous liver and HCC tissues. *** P  < 0.001. c: ROC curve of miR-203 expression to distinguish HCC from non-cancerous liver. The area under curve (AUC) of miR-203 was 0.85 (95 % CI: 0.796 ~ 0.904, P = 0.027) at a cut-off value of 1.99. Error bars represented standard deviation (SD). The statistical analysis was performed with Student’s t-test (a and b)

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The relationship between miR-203 expression and clinicopathological parameters of HCC

With respect to the association between miR-203 expression and clinicopathological parameters of HCC, the following results were obtained. The relative expression of miR-203 in HCC patients with tumor larger than 5 cm (1.23 ± 0.73) was remarkably higher in comparison with those whose tumor were smaller than 5 cm (0.9061 ± 0.50149, P = 0.034). Also, the relative expression of miR-203 in HCC patients with single tumor nodes (1.30 ± 0.77) was prominently higher than those with multiple tumor nodes (1.01 ± 0.59, P = 0.046). Compared to those with metastasis (1.00 ± 0.60), the level of miR-203 was higher in those HCC patients without metastasis (1.34 ± 0.77, P = 0.021). When compared with HCC patients of advanced stages (III and IV, 1.05 ± 0.63), the relative expression of miR-203 in early stages patients (I and II, 1.56 ± 0.79, P = 0.002) was notably increased. Besides, the relative expression of miR-203 in HCC patients without cirrhosis (1.49 ± 0.72) was obviously higher than those with cirrhosis (0.80 ± 0.47, P < 0.001). In association with nm23, HCC patients with negative expression of nm23 (1.60 ± 0.82) had a higher level of miR-203 than those with positive expression (1.05 ± 0.63, P = 0.002). As for the relationship with the expression of p21, negative expresser had a noticeably higher level of miR-203 (1.28 ± 0.73) than the positive one (0.96 ± 0.62, P =0.035). Moreover, miR-203 level in VEGF negative HCC patients was higher (1.43 ± 0.82), compared with VEGF positive HCC patients (1.07 ± 0.64, P = 0.031, Fig. 2, Table 1). Meanwhile, we conducted a further analysis using Spearman correlation test, the consistent relationship between the expression of miR-203 and the clinicopathological parameters of HCC were listed as follows: metastasis (r = −0.254, P = 0.013), TNM (r = −0.300, P = 0.003), cirrhosis (r = 0.487, P < 0.001), nm23 (r = −0.292, P = 0.004), p21 (r = −0.223, P = 0.030) and MVD (r = −0.206, P = 0.045). Additionally, the AUC of miR-203 and metastasis was 0.647 (95 % CI: 0.536 ~ 0.757, P = 0.014, Fig. 3a), and the AUC of miR-203 and TNM was 0.705 (95 % CI: 0.575 ~ 0.834, P = 0.004, Fig. 3b). However, no association was found between miR-203 expression and other clinicopathological features, such as age, gender, tumor differentiation grades, portal vein tumor embolus, vascular invasion, tumor capsular infiltration, HCV or HBV infection condition, AFP, metadherin (MTDH), p53, vascular endothelial growth factor (VEGF) and ki-67 expression. As for tumor size and tumor nodes, expression of miR-203 between each two groups was significantly different, respectively. However, no correlation was found between miR-203 and tumor size or tumor nodes by Spearman analysis.

Fig. 2
figure 2

The relationship between miR-203 expression and clinicopathological parameters of HCC. a: Tumor size, (b): Tumor nodes, (c): metastasis status, (d): clinical TNM stage, (e): cirrhosis, (f): nm23, (g): p21, (h): VEGF. The data were representative of two independent experiments. Error bars represented SD. * P <0.05, ** P <0.01, *** P <0.001 by Student’s t-test (a-g)

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Fig. 3
figure 3

Diagnostic significance of different parameters on HCC. a. The ROC curve of miR-203 for discriminating metastasis from non-metastasis in HCC patients. The AUC of miR-203 and metastasis was 0.647 (95 % CI: 0.536 ~ 0.757, P = 0.014) at a cut off value of 1.52. b. ROC curve of miR-203 expression to distinguish advanced clinical TNM stage from early TNM stage in patients with HCC. The AUC of miR-203 and TNM was 0.705 (95 % CI: 0.575 ~ 0.834, P = 0.004) at a cut-off value of 1.57. The cut off values were measured according to the median expression of miR-203 in HCC tissues. Error bars represented SD. Significance of difference between two groups was analyzed by Student’s t test (a and b)

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Role of miR-203 expression in recurrence of HCC

Among all the 95 patients, we had a successful follow-up of 70 patients, among which 52 had low miR-203 expression (lower than the median level of 0.97) while 18 had high miR-203 expression. As for time to recurrence, low miR-203 expression group was 57.949 ± 4.184 months, while the high expression group was 54.682 ± 2.591 months. No significant difference of recurrent time was found between the low and high miR-203 groups (Chi-square = 0.206, P = 0.650).

Discussion

Up till now, there have been only three studies that explored the role of miR-203 in HCC [22–24]. Among the available articles, Wang et al. [24] only evaluated expression of miR-203 in HepG2 cells by Western blot assay without using clinical HCC specimens. Furuta et al. [22] examined a total of 19 liver cancer cell lines and 41 frozen primary tumor samples with their corresponding non-tumorous tissues and confirmed that expression of miR-203 was silenced through tumor-specific DNA methylation in HCC. Chen et al. [23] confirmed that expression of miR-203 was lower in tumor tissues. Chen et al. reported that miR-203 expression was measured in 66 HCC patients who underwent orthotopic deceased donor liver transplantation. However, the 95 HCC patients who were selected into the current study received no additional treatment including chemoradiotherapy, liver transplantation or ablation. Of note, our current study collected and compared 95 HCC samples with their paired adjacent non-cancerous tissues twice more than the 41 samples examined in the research of Furuta et al. [22]. Of particular note, these paired samples eliminated the individual differences and achieved better comparability. As a result, significantly lower level of miR-203 expression was found in HCC tissues compared with adjacent non-cancerous tissues. The ratio of miR-203 in HCC tissues to that in non-cancerous tissues was 0.52. Furthermore, the AUC of 0.85, nearly 0.9 from ROC analysis demonstrated that miR-203 had a specific diagnostic value for HCC. Combined with the literatures, our current finding strongly indicated that miR-203 could be regarded as a tumor-suppressor in HCC.

We primarily revealed that expression of miR-203 was relevant to the deterioration of HCC by analyzing the association between miR-203 expression and clinicopathological parameters. First of all, miR-203 was down-regulated in HCC tissues with multiple tumor nodes and with metastasis, as compared to their corresponding traits respectively. Furthermore, miR-203 expression was negatively related to HCC progression. MiR-203 reduced evidently when there appeared cirrhosis or when HCC developed into advanced stage. In addition, expression of miR-203 was down-regulated in HCC tissues where nm23 and p21 were positive. Above results indicated that low level of miR-203 was closely associated with factors of HCC development, such as metastasis, multiple tumor nodes and late clinical stages. However, miR-203 was of higher level in HCC tissues whose tumor sizes were over 5 cm. Under normal conditions, we regard larger size tumors as the more aggressive ones. Here, the result was contradictory. MiR-203 may play more important roles in tumor cell invasion and metastasis than tumor cell growth. However, this hypothesis needs further in vitro and in vivo experiments to confirm in the future. For the relationship between miR-203 level and patient recurrence, although patients with lower level of miR-203 showed a longer time of recurrence than the higher level patients, no statistical significance was noted (Fig. 4). Cohorts with larger patient size are required to figure out the correlation between miR-203 and recurrence in HCC.

Fig. 4
figure 4

Recurrence free survival of HCC patients according to miR-203 levels. There was no significant association between miR-203 expression and recurrence free survival in patients with HCC (P = 0.650). Error bars represented SD. Survival difference according to miR-203 expression was analyzed by the log-rank test

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MVD, VEGF and MTDH are factors related to angiogenesis, which play a vital role in tumor growth and progression. Among them, MTDH was found to have partly complementary sequences with miR-203 with several prediction software (miRbase, Tarbase, targetScan and miRanda). Li et al. [25] have demonstrated that by negatively regulating Akt2 protein expression, miR-203 reversed chemoresistance in p53-mutated colon cancer cells where MTDH was involved. Zhu et al. [26] pointed out that miR-203 down-regulated vascular endothelial growth factor alpha (VEGFA) expression by directly targeting its 3′-untranslated region in human cervical cancer. Nevertheless, we found no significant correlation between miR-203 and MTDH or VEGF in HCC, only MVD showed a significant correlation with miR-203 (r = −0.20607 P = 0.045). Other cohort with more patients involved and in vitro study are required to examine the potential role of MTDH as a target of miR-203. As Furuta et al. [22] suggested in his article, the silencing of miR-203 contributed to the pathogenesis of HCC by activating of ATP binding cassette E1 (ABCE1).

And Wang et al. [24] revealed that low expression of miR-203 dedicated to the progression of HCC via targeting survivin. All these findings strongly support our result that expression of miR-203 was relevant to the deterioration of HCC via different pathways.

Conclusion

In accordance with previous researches, our current study strongly prompts that miR-203 is a tumor-suppressive miRNA, contributing to the carcinogenesis and deterioration of HCC. Expression of miR-203 can be a diagnostic biomarker for HCC. To investigate and identify the function of miR-203 in HCC, as well as to regard miR-203 as a new target for HCC treatment, further in vitro and in vivo studies are needed in future.

Methods

Patients and tissue samples

A total number of 95 HCC patients (75 males and 20 females, with a mean age of 52 years old, ranged from 29 to 82 years old), who were admitted to the First Affiliated Hospital of the Guangxi Medical University (Nanning Guangxi, China) between March, 2010 and December, 2011, were selected for this current study. Their formalin-fixed, paraffin embedded (FFPE) tumor tissues and adjacent non-cancerous liver tissues were retrospectively evaluated. The clinicopathological parameters of patients including age, gender, differentiation, tumor size, tumor nodes, metastasis and clinical TNM stages, the presence or absence of portal vein tumor embolus, vaso-invasion, capsular infiltration and cirrhosis, and other biomarkers such as serum AFP level, expression of metadherin (MTDH), nm23, p53, p21, vascular endothelial growth factor (VEGF) and microvessel density (MVD). The clinical TNM stage is the most common system for staging to employ the TNM classification. A “T” score is based upon the size and/or extent of invasion. The “N” score indicates the extent of lymph node involvement. The “M” score indicates whether distant metastasis is present. All these features were summarized in Table 1. The Ethical Committee of First Affiliated Hospital, Guangxi Medical University, China approved the current research, and informed consent was obtained from all participating patients. Related research was conducted in accordance with the Helsinki Declaration. All samples were reviewed and diagnosed by two independent pathologists.

RNA isolation and quantification of miR-203

Extraction and normalization of RNAs along with miRNAs by using the miRNeasy FEPE Kit (QIAGEN, KJ Venlo, Netherlands) were performed as described previously [27–30]. RNA concentrations were determined by NanoDrop 2000 (Wilmington, DE, USA). A combination of RUN6B and RUN48 was the housekeeping gene for detection of miR-203 expression in HCC FFPE tissues [27, 28]. The primers for miR-203, RNU6B and RNU48, were included in TaqMan®MicroRNAAssays (4427975, Applied Biosystems, Life Technologies, Grand Island, NY, USA). Sequence of miRNA and references used in the paper are as follows: miR-203 (Applied Biosystems Cat. No. 4427975–000507): GUGAAAUGUUUAGGACCACUAG; RNU6B (Applied Biosystems Cat. No. 4427975–001093): CGCAAGGAUGACACGCAAAUUCGUGAAGCGUUCCAUAUUUUU; RNU48 (Applied Biosystems Cat. No. 4427975–001006): GAUGACCCCAGGUAACUCUGAGUGUGUCGCUGAUGCCAUCACCGCAGCGCUCUGACC. The reverse primers were also used for reverse transcription with TaqMan®MicroRNA Reverse Transcription Kit (Amsterdam, Netherland, Applied Biosystems, Life Technologies) in a total volume of 10 μL. Real-time qPCR for miRNA was performed with Applied Biosystems PCR7900. The miR-203 abundance in each sample was normalized to its references. The expression of miR-203 in the FFPE experiments was calculated with the formula 2-Δcq [27–31].

Statistical analysis

SPSS 20.0 (Munich, Germany) was used for statistical analysis. Quantitative variables were presented as means ± standard deviation (SD). Significance of difference between two groups was analyzed by Student’s t test. Significance of difference within three groups (we divided differentiation condition into three groups) was analyzed by One-way analysis of variance (ANOVA) test. Correlation between miR-203 expression and clinicopathological parameters was detected by using Spearman. Effectiveness of miR-203 to distinguish HCC from non-cancerous liver tissues was generated by receiver operating characteristic (ROC) curves. Recurrence analysis was estimated by the Kaplan–Meier method, and the log-rank test was used to compare the recurrence between groups. When P-value was less than 0.05, calculated by two-tailed test, it was considered as statistically significant.

Abbreviations

HCC:

Hepatocellular carcinoma

HBV:

Hepatitis B virus

HCV:

Hepatitis C virus

TNM:

Tumor node metastasis

Clinical TNM stage:

A “T” score is based upon the size and/or extent of invasion. The “N” score indicates the extent of lymph node involvement. The “M” score indicates whether distant metastases are present

QRT-PCR:

Quantitative reverse transcription polymerase chain reaction

AUC:

Area under curve

miRNAs:

MicroRNAs

miR-203:

MicroRNA-203

LT:

Liver transplantation

PEI:

Percutaneous ethanol injection

RFA:

Radiofrequency ablation

TACE:

Transhepatic arterial chemotherapy and embolization

TARE:

Transhepatic arterial radioembolization

FFPE:

Formalin-fixed, paraffin embedded

AFP:

Alpha fetal protein

MTDH:

Metadherin

VEGF:

Vascular endothelial growth factor

MVD:

Microvessel density

ANOVA:

One-way analysis of variance

ROC:

Receiver operating characteristic

L:

Labeling index

References

  1. Oliveri RS, Wetterslev J, Gluud C. Hepatocellular carcinoma. Lancet. 2012;380(9840):470. author reply 470–471.

    Article  PubMed  Google Scholar 

  2. Zhuang L, Zeng X, Yang Z, Meng Z. Effect and safety of interferon for hepatocellular carcinoma: a systematic review and meta-analysis. PLoS One. 2013;8(9):e61361.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  3. Murata S, Mine T, Ueda T, Nakazawa K, Onozawa S, Yasui D, et al. Transcatheter arterial chemoembolization based on hepatic hemodynamics for hepatocellular carcinoma. Scientific World J. 2013;2013:479805.

    Article  Google Scholar 

  4. Roayaie S, Obeidat K, Sposito C, Mariani L, Bhoori S, Pellegrinelli A, et al. Resection of hepatocellular cancer </=2 cm: results from two Western centers. Hepatology. 2013;57(4):1426–35.

    Article  PubMed Central  PubMed  Google Scholar 

  5. Fong ZV, Tanabe KK. The clinical management of hepatocellular carcinoma in the United States, Europe, and Asia: A comprehensive and evidence-based comparison and review. Cancer. 2014;120(18):2824–38.

    Article  PubMed  Google Scholar 

  6. Vertemati M, Moscheni C, Petrella D, Lamperti L, Cossa M, Gambacorta M, et al. Morphometric analysis of hepatocellular nodular lesions in HCV cirrhosis. Pathol Res Pract. 2012;208(4):240–4.

    Article  PubMed  Google Scholar 

  7. Liang T, Chen EQ, Tang H. Hepatitis B virus gene mutations and hepatocarcinogenesis. Asian Pac J Cancer Prev. 2013;14(8):4509–13.

    Article  PubMed  Google Scholar 

  8. Gao J, Xie L, Yang WS, Zhang W, Gao S, Wang J, et al. Risk factors of hepatocellular carcinoma–current status and perspectives. Asian Pac J Cancer Prev. 2012;13(3):743–52.

    Article  PubMed  Google Scholar 

  9. Sun J, Lu H, Wang X, Jin H. MicroRNAs in hepatocellular carcinoma: regulation, function, and clinical implications. Scientific World J. 2013;2013:924206.

    Google Scholar 

  10. Aravalli RN, Steer CJ, Cressman EN. Molecular mechanisms of hepatocellular carcinoma. Hepatology. 2008;48(6):2047–63.

    Article  CAS  PubMed  Google Scholar 

  11. Fang P, Hu JH, Cheng ZG, Liu ZF, Wang JL, Jiao SC. Efficacy and safety of bevacizumab for the treatment of advanced hepatocellular carcinoma: a systematic review of phase II trials. PLoS One. 2012;7(12):e49717.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  12. Dong S, Yang B, Guo H, Kang F. MicroRNAs regulate osteogenesis and chondrogenesis. Biochem Biophys Res Commun. 2012;418(4):587–91.

    Article  CAS  PubMed  Google Scholar 

  13. Qi W, Liang W, Jiang H, Miuyee Waye M. The function of miRNA in hepatic cancer stem cell. Biomed Res Int. 2013;2013:358902.

    Article  PubMed Central  PubMed  Google Scholar 

  14. Ritchie W, Rasko JE. Refining microRNA target predictions: sorting the wheat from the chaff. Biochem Biophys Res Commun. 2014;445(4):780–4.

    Article  CAS  PubMed  Google Scholar 

  15. Saumet A, Mathelier A, Lecellier CH. The Potential of MicroRNAs in Personalized Medicine against Cancers. Biomed Res Int. 2014;2014:642916.

    Article  PubMed Central  PubMed  Google Scholar 

  16. Qu H, Xu W, Huang Y, Yang S. Circulating miRNAs: promising biomarkers of human cancer. Asian Pac J Cancer Prev. 2011;12(5):1117–25.

    PubMed  Google Scholar 

  17. Phuah NH, Nagoor NH. Regulation of MicroRNAs by Natural Agents: New Strategies in Cancer Therapies. Biomed Research Int. 2014;2014:804510.

    Article  Google Scholar 

  18. Viticchie G, Lena AM, Latina A, Formosa A, Gregersen LH, Lund AH, et al. MiR-203 controls proliferation, migration and invasive potential of prostate cancer cell lines. Cell Cycle. 2011;10(7):1121–31.

    Article  CAS  PubMed  Google Scholar 

  19. Bueno MJ, Perez de Castro I, Gomez de Cedron M, Santos J, Calin GA, Cigudosa JC, et al. Genetic and epigenetic silencing of microRNA-203 enhances ABL1 and BCR-ABL1 oncogene expression. Cancer Cell. 2008;13(6):496–506.

    Article  CAS  PubMed  Google Scholar 

  20. Schetter AJ, Leung SY, Sohn JJ, Zanetti KA, Bowman ED, Yanaihara N, et al. MicroRNA expression profiles associated with prognosis and therapeutic outcome in colon adenocarcinoma. JAMA. 2008;299(4):425–36.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  21. Lena AM, Shalom-Feuerstein R, Rivetti di Val Cervo P, Aberdam D, Knight RA, Melino G, et al. miR-203 represses ‘stemness’ by repressing DeltaNp63. Cell Death Differ. 2008;15(7):1187–95.

    Article  CAS  PubMed  Google Scholar 

  22. Furuta M, Kozaki KI, Tanaka S, Arii S, Imoto I, Inazawa J. miR-124 and miR-203 are epigenetically silenced tumor-suppressive microRNAs in hepatocellular carcinoma. Carcinogenesis. 2010;31(5):766–76.

    Article  CAS  PubMed  Google Scholar 

  23. Chen HY, Han ZB, Fan JW, Xia J, Wu JY, Qiu GQ, et al. miR-203 expression predicts outcome after liver transplantation for hepatocellular carcinoma in cirrhotic liver. Med Oncol. 2012;29(3):1859–65.

    Article  CAS  PubMed  Google Scholar 

  24. Wei W, Wanjun L, Hui S, Dongyue C, Xinjun Y, Jisheng Z. miR-203 inhibits proliferation of HCC cells by targeting survivin. Cell Biochem Funct. 2013;31(1):82–5.

    Article  CAS  PubMed  Google Scholar 

  25. Li J, Chen Y, Zhao J, Kong F, Zhang Y. miR-203 reverses chemoresistance in p53-mutated colon cancer cells through downregulation of Akt2 expression. Cancer Lett. 2011;304(1):52–9.

    Article  CAS  PubMed  Google Scholar 

  26. Zhu X, Er K, Mao C, Yan Q, Xu H, Zhang Y, et al. miR-203 suppresses tumor growth and angiogenesis by targeting VEGFA in cervical cancer. Cell Physiol Biochem. 2013;32(1):64–73.

    Article  CAS  PubMed  Google Scholar 

  27. Rong M, Chen G, Dang Y. Increased miR-221 expression in hepatocellular carcinoma tissues and its role in enhancing cell growth and inhibiting apoptosis in vitro. BMC Cancer. 2013;13:21.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  28. Dang Y, Luo D, Rong M, Chen G. Underexpression of miR-34a in hepatocellular carcinoma and its contribution towards enhancement of proliferating inhibitory effects of agents targeting c-MET. PLoS One. 2013;8(4):e61054.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  29. Rong M, He R, Dang Y, Chen G. Expression and clinicopathological significance of miR-146a in hepatocellular carcinoma tissues. Ups J Med Sci. 2014;119(1):19–24.

    Article  PubMed Central  PubMed  Google Scholar 

  30. Chen G, Umelo IA, Lv S, Teugels E, Fostier K, Kronenberger P, et al. miR-146a inhibits cell growth, cell migration and induces apoptosis in non-small cell lung cancer cells. PLoS One. 2013;8(3):e60317.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

  31. Chen G, Kronenberger P, Teugels E, Umelo IA, De Greve J. Targeting the epidermal growth factor receptor in non-small cell lung cancer cells: the effect of combining RNA interference with tyrosine kinase inhibitors or cetuximab. BMC Med. 2012;10:28.

    Article  CAS  PubMed Central  PubMed  Google Scholar 

Download references

Acknowledgments

The study was supported partly by the Fund of Guangxi Natural Scientific Research (No. 2013GXNSFBA019191), Guangxi Provincial Health Bureau Scientific Research Project (Z2014054), Youth Science Foundation of Guangxi Medical University (GXMUYSF201311), Guangxi University Science and Technology Research Projects (LX2014075), and the Fund of National Natural Science Foundation of China (NSFC 81360327). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.

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    Authors and Affiliations

    1. Department of Pathology, First Affiliated Hospital of Guangxi Medical University, 6 Shuangyong Road, Nanning, Guangxi Zhuang Autonomous Region, 530021, P. R. China

      Yongru Liu, Fanghui Ren, Yihuan Luo, Yiwu Dang & Gang Chen

    2. Research Department, Affiliated Cancer Hospital, Guangxi Medical University, 71 Hedi Road, Nanning, Guangxi Zhuang Autonomous Region, 530021, P. R. China

      Minhua Rong

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    1. Yongru Liu
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    The authors declare that they have no competing interests.

    Authors’ contributions

    YL participated in the design of the study and clinical data analysis, and drafted the manuscript. FR performed the statistical analysis, prepared for the figures and tables and revised the manuscript. MR participated in the statistical analysis and corrected the manuscript. YL performed the statistical analysis and wrote the result of the manuscript. YD prepared for the specimens, carried out the miRNA isolation, real time RT-qPCR and revised the manuscript. GC conceived of the study, participated in design and coordination, performed the real-time RT-qPCR, and corrected the manuscript. All authors read and approved the final manuscript.

    Yongru Liu and Fanghui Ren contributed equally to this work.

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    Liu, Y., Ren, F., Rong, M. et al. Association between underexpression of microrna-203 and clinicopathological significance in hepatocellular carcinoma tissues. Cancer Cell Int 15, 62 (2015). https://doi.org/10.1186/s12935-015-0214-0

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    • DOI: https://doi.org/10.1186/s12935-015-0214-0

    Keywords

    • MiR-203
    • HCC
    • Adjacent non-cancerous liver
    • RT-qPCR
    • Metastasis

    Cancer Cell International

    ISSN: 1475-2867

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