Literature DB >> 33435769

Expression and clinical significance of miR-3615 in hepatocellular carcinoma.

Xin Yuan1,2, Yize Zhang1,2, Zujiang Yu1,2.   

Abstract

OBJECTIVE: To investigate the association between microRNA-3615 (miR-3615) expression and the prognosis and clinicopathological features in patients with hepatocellular carcinoma (HCC).
METHODS: We obtained clinicopathological and genomic data and prognostic information on HCC patients from The Cancer Genome Atlas (TCGA) database. We then analyzed differences in miR-3615 expression levels between HCC and adjacent tissues using SPSS software, and examined the relationships between miR-3615 expression levels and clinicopathological characteristics. We also explored the influence of miR-3615 expression levels on the prognosis of HCC patients using Kaplan-Meier survival curve analysis.
RESULTS: Based on data for 345 HCC and 50 adjacent normal tissue samples, expression levels of miR-3615 were significantly higher in HCC tissues compared with adjacent tissues. MiR-3615 expression levels in HCC patients were negatively correlated with overall survival time and positively correlated with high TNM stage, serum Ki-67 expression level, and serum alpha-fetoprotein level. There were no significant correlations between miR-3615 expression and age, sex, and pathological grade.
CONCLUSION: MiR-3615 may be a promising new biomarker and prognostic factor for HCC.

Entities:  

Keywords:  MicroRNA-3615; The Cancer Genome Atlas; gene expression; hepatocellular carcinoma; prognosis; survival

Mesh:

Substances:

Year:  2021        PMID: 33435769      PMCID: PMC7809312          DOI: 10.1177/0300060520981547

Source DB:  PubMed          Journal:  J Int Med Res        ISSN: 0300-0605            Impact factor:   1.671


Introduction

Hepatocellular carcinoma (HCC) is the main pathological type of primary liver cancer. HCC has the fifth highest annual incidence and third highest mortality of all cancers worldwide. China accounts for more than half of all cases of liver cancer globally each year.[1] A lack of early sensitive diagnostic markers and methods means that HCC is usually diagnosed at a later stage, with a consequently poor prognosis and difficult clinical treatment, leading to a 5-year survival rate of less than 7%.[2] There is thus an urgent need to identify biomarkers and therapeutic targets for the early detection of HCC, to improve its early diagnosis and survival rates. MicroRNAs (miRNAs) are a class of endogenous single-stranded non-coding RNAs with a length of about 22 nucleotides, which have been confirmed to be involved in all types of tested cancers to date. MiRNAs can inhibit mRNA translation by binding to a target mRNA or long non-coding RNA (lncRNA), or can degrade bound mRNAs and lncRNAs.[3] An imbalance in miRNA regulation can lead to the development of malignant tumors.[2] MiR-3615 is an miRNA with regulatory roles in Barrett’s esophagus,[4] follicular lymphoma,[5] colorectal adenocarcinoma,[6] and other diseases. However, the expression of miR-3615 in HCC and its relationship with clinicopathological features have not been well studied. In this study, we investigated the expression of miR-3615 in HCC using an online database, and analyzed the relationships between its expression levels and clinical characteristics. We also plotted survival curves to determine the relationship between miR-3615 expression level and overall survival (OS), to determine its influence on the prognosis of HCC. The results of this study may provide new diagnostic and prognostic targets and thus improve the clinical outcomes of patients with HCC.

Patients and methods

Genomic and clinicopathological data

The Cancer Genome Atlas (TCGA, https: //tcga-data.nci.nih.gov/tcga/) is a public project using high-throughput genomic analysis techniques to improve the prevention, diagnosis, and treatment of cancer.[7] We downloaded data from TCGA, as described previously.[8] We compared miR-3615 expression levels in HCC patients between tumor and adjacent normal tissues from the same patients. We also examined the correlations between expression levels of miR-3615 in HCC tissues and various clinical features and prognosis in HCC patients. The data for this study were derived from a public database and ethical review was therefore deemed unnecessary.

Classification

Patients were classified before treatment according to sex, age, serum alpha fetoprotein (AFP) level (cutoff: 8.366 [median]), Ki-67 expression level (cutoff: 10.000 [median]), TNM stage, and pathological grade. Patients were also divided into high-expression and low-expression groups according to the median expression level of miR-3615 in the cancer tissues.

Statistical analysis

Statistical analysis was carried out using SPSS Statistics for Windows, Version 23.0 (IBM Corp., Armonk, New York, USA). Quantitative TCGA data consistent with a normal distribution were expressed as mean ± standard deviation. Differences in miR-3615 expression levels between HCC tissues and adjacent tissues were analyzed by t-tests, and relationships between miR-3615 expression levels and clinical characteristics were analyzed by χ2 tests. Kaplan–Meier survival curves were drawn to determine the relationship between miR-3615 expression level and prognosis of HCC patients. The significance probability threshold was set at 0.05.

Results

Patients and miR-3615 expression levels in HCC tissues and adjacent tissues

Data for 345 HCC samples (including 50 paired non-tumor tissues from the same patients) were obtained by screening the genomic data from TCGA database and excluding individuals with incomplete data on gene expression, clinicopathological features, and prognosis. Expression levels of miR-3615 were significantly higher in HCC tissues (relative expression: 13.41 ± 0.87) compared with adjacent tissues (12.78 ± 0.41) (P < 0.001) (Figure 1). These findings suggested that miR-3615 was significantly up-regulated in HCC tissues compared with non-tumor tissues.
Figure 1.

Expression of miR-3615 in 345 hepatocellular carcinoma (HCC) tissues and 50 adjacent non-tumor tissues. MiR-3615 relative expression levels (expressed in transcripts per million, TPM) were significantly higher in HCC tissues (13.41 ± 0.87) compared with adjacent non-tumor tissues (12.78 ± 0.41) (P < 0.001).

Expression of miR-3615 in 345 hepatocellular carcinoma (HCC) tissues and 50 adjacent non-tumor tissues. MiR-3615 relative expression levels (expressed in transcripts per million, TPM) were significantly higher in HCC tissues (13.41 ± 0.87) compared with adjacent non-tumor tissues (12.78 ± 0.41) (P < 0.001).

Relationships between miR-3615 expression level and clinical characteristics

MiR-3615 levels were positively correlated with TNM stage, serum Ki-67 expression level, and AFP level. Patients were divided into high-expression (n=173) and low-expression groups (n=172) according to the median expression level of miR-3615 in the cancer tissues (10.00)). Patients with high expression of miR-3615 expression had high TNM stage, and high serum Ki-67 and AFP levels. However, age, sex, and pathological grade were not correlated with miR-3615 (Table 1). Collectively, these findings suggested that elevated miR-3615 expression was associated with an unfavorable prognosis among patients with HCC.
Table 1.

Relationships between miR-3615 expression level and clinicopathological characteristics.

General information and clinicopathological features
Expression level of miR-3615
χ2P
Low (n = 172)High (n = 173)
Sex
 Female48622.4980.114
 Male124111
Age, years
 ≤6093782.7840.095
 >607995
Pathological grade
 I–II1111040.7170.391
 III–IV6169
 TNM stage
 I–II1391168.4720.004
 III–IV3357
Serum AFP level
 Low96764.8720.027
 High7697
Ki-67 level
 Low1165741.049< 0.001
 High56116

TNM, tumor-node-metastasis; AFP, alpha fetoprotein.

Relationships between miR-3615 expression level and clinicopathological characteristics. TNM, tumor-node-metastasis; AFP, alpha fetoprotein.

Relationship between miR-3615 expression level and prognosis

Kaplan–Meier survival curves indicated that HCC patients with low miR-3615 expression had significantly longer OS than those with high miR-3615 expression (P < 0.001) (Figure 2). These results suggested that miR-3615 could be a novel prognostic biomarker in HCC.
Figure 2.

Relationship between miR-3615 expression level and prognosis. Hepatocellular carcinoma patients with low miR-3615 expression had significantly longer overall survival than those with high miR-3615 expression (P < 0.0001).

Relationship between miR-3615 expression level and prognosis. Hepatocellular carcinoma patients with low miR-3615 expression had significantly longer overall survival than those with high miR-3615 expression (P < 0.0001).

Discussion

MiRNAs regulate the cell cycle, and cell differentiation and migration. They may also act as tumor suppressor genes or oncogenes during tumorigenesis and tumor development. Members of miRNA families in the miR17/18/19a/20/19b/92 cluster have previously demonstrated a strong embryonic signature, associated with proliferation and cancer.[9] MiRNAs are also involved in the development of a variety of cancers and have been widely reported in HCC. Rashad et al.[10] found that expression levels of miRNA-27a and miRNA-18b were related to the development of HCC and could be used as prognostic factors in HCC, indicating its distant metastasis, Child–Pugh grade, and degree of lymph node metastasis. Kong et al.[11] proved that miR4435-2HG was up-regulated in liver cancer and promoted the proliferation of cancer cells through up-regulated miRNA-487A. In addition, Aye et al.[12] reported that reducing miR-200b-3P in cancer cells promoted angiogenesis in HCC tissues by enhancing the expression of ERG (erythroblast transformation-specific [ETS]-related gene) in endothelial cells. MiR-3615 was significantly down-regulated in high-grade intra-epithelial neoplasia/Barrett’s adenocarcinoma (HG-IEN/BAc) samples in patients with Barrett’s esophagus.[4] In addition, miR-3615 was down-regulated in Chinese patients with follicular lymphoma, as demonstrated by quantitative reverse transcription-polymerase chain reaction.[5] MiR-3615 was also identified as one target of five altered miRNAs in retinitis pigmentosa,[13] suggesting an association between oxidative stress and the occurrence and development of retinitis pigmentosa. In the current study, miR-3615 was highly expressed in liver cancer, and patients with high miR-3615 expression had poorer OS. MiR-3615 was also positively correlated with TNM stage, AFP level, and Ki-67 level. AFP level is widely used as a diagnostic marker of HCC, while high levels of Ki-67 can indicate tumor invasiveness, such as advanced tumor stage, portal vein invasion, and intrahepatic metastasis, which are in turn associated with high early recurrence rates and poor prognosis of HCC.[14] Expression levels of miR-3615 were positively correlated with serum AFP and Ki-67 levels, suggesting that miR-3615 could be a useful biomarker for HCC. It could potentially make up for deficiencies in the early detection of serum AFP and imaging, and could indicate a poor prognosis. Detection of miR-3615 is thus an ideal candidate method for improving the early diagnosis of HCC. This study was limited by restricting its analysis to HCC tissues from TCGA database, and further studies including serological and clinical data, as well as cell experiments, are needed to verify the results.

Conclusion

MiR-3615 is highly expressed in HCC tissues and its expression levels correlate with clinicopathological features and patient survival. MiR-3615 may thus represent a novel biomarker and therapeutic target in HCC.
  14 in total

1.  MicroRNA-25 functions as a potential tumor suppressor in colon cancer by targeting Smad7.

Authors:  Qiang Li; Chaoxia Zou; Chendan Zou; Zhongjing Han; Haifeng Xiao; Huiyan Wei; Wei Wang; Lei Zhang; Xueying Zhang; Qingchao Tang; Chunjing Zhang; Ji Tao; Xishan Wang; Xu Gao
Journal:  Cancer Lett       Date:  2013-02-19       Impact factor: 8.679

2.  Computational identification of epigenetically regulated lncRNAs and their associated genes based on integrating genomic data.

Authors:  Tingting Zhao; Jinyuan Xu; Ling Liu; Jing Bai; Lihua Wang; Yun Xiao; Xia Li; Liming Zhang
Journal:  FEBS Lett       Date:  2015-01-20       Impact factor: 4.124

3.  Circulating microRNA expression profiling revealed miR-92a-3p as a novel biomarker of Barrett's carcinogenesis.

Authors:  Matteo Fassan; Stefano Realdon; Luciano Cascione; Jens C Hahne; Giada Munari; Vincenza Guzzardo; Diletta Arcidiacono; Andrea Lampis; Stefano Brignola; Luca Dal Santo; Marco Agostini; Chiara Bracon; Gemma Maddalo; Marco Scarpa; Fabio Farinati; Giovanni Zaninotto; Nicola Valeri; Massimo Rugge
Journal:  Pathol Res Pract       Date:  2020-02-28       Impact factor: 3.250

4.  MicroRNA expression profiling of Chinese follicular lymphoma by microarray: A preliminary study.

Authors:  Yi Pan; Yan Guo; Ye Luo; Hua Li; Yong Xu
Journal:  Int Immunopharmacol       Date:  2016-07-10       Impact factor: 4.932

5.  Estimates of worldwide burden of cancer in 2008: GLOBOCAN 2008.

Authors:  Jacques Ferlay; Hai-Rim Shin; Freddie Bray; David Forman; Colin Mathers; Donald Maxwell Parkin
Journal:  Int J Cancer       Date:  2010-12-15       Impact factor: 7.396

6.  Serum miRNA-27a and miRNA-18b as potential predictive biomarkers of hepatitis C virus-associated hepatocellular carcinoma.

Authors:  Nearmeen M Rashad; Amal S El-Shal; Sally M Shalaby; Salem Y Mohamed
Journal:  Mol Cell Biochem       Date:  2018-02-17       Impact factor: 3.396

Review 7.  The Cancer Genome Atlas (TCGA): an immeasurable source of knowledge.

Authors:  Katarzyna Tomczak; Patrycja Czerwińska; Maciej Wiznerowicz
Journal:  Contemp Oncol (Pozn)       Date:  2015

8.  Decreased miR-200b-3p in cancer cells leads to angiogenesis in HCC by enhancing endothelial ERG expression.

Authors:  Aye Moh-Moh-Aung; Masayoshi Fujisawa; Sachio Ito; Hiroshi Katayama; Toshiaki Ohara; Yoko Ota; Teizo Yoshimura; Akihiro Matsukawa
Journal:  Sci Rep       Date:  2020-06-26       Impact factor: 4.379

9.  The lncRNA MIR4435-2HG is upregulated in hepatocellular carcinoma and promotes cancer cell proliferation by upregulating miRNA-487a.

Authors:  Qinglei Kong; Caiqian Liang; Yi Jin; Yuhang Pan; Dayue Tong; Qingcong Kong; Jing Zhou
Journal:  Cell Mol Biol Lett       Date:  2019-04-04       Impact factor: 5.787

10.  Identification and validation of reference genes for qPCR detection of serum microRNAs in colorectal adenocarcinoma patients.

Authors:  Guixi Zheng; Haiyan Wang; Xin Zhang; Yongmei Yang; Lili Wang; Lutao Du; Wei Li; Juan Li; Ailin Qu; Yimin Liu; Chuanxin Wang
Journal:  PLoS One       Date:  2013-12-11       Impact factor: 3.240

View more
  6 in total

Review 1.  Revisiting miRNA Association with Melanoma Recurrence and Metastasis from a Machine Learning Point of View.

Authors:  Aigli Korfiati; Katerina Grafanaki; George C Kyriakopoulos; Ilias Skeparnias; Sophia Georgiou; George Sakellaropoulos; Constantinos Stathopoulos
Journal:  Int J Mol Sci       Date:  2022-01-24       Impact factor: 5.923

2.  Plasma extracellular vesicle microRNA profiling and the identification of a diagnostic signature for stage I lung adenocarcinoma.

Authors:  Shugeng Gao; Wei Guo; Tiejun Liu; Naixin Liang; Qianli Ma; Yibo Gao; Fengwei Tan; Qi Xue; Jie He
Journal:  Cancer Sci       Date:  2021-12-06       Impact factor: 6.716

3.  The Overexpression of TOB1 Induces Autophagy in Gastric Cancer Cells by Secreting Exosomes.

Authors:  Yanhong Wang; Ying Song; Lijie Zhou; Mengxi Wang; Dong Wang; Jing Bai; Songbin Fu; Jingcui Yu
Journal:  Dis Markers       Date:  2022-04-12       Impact factor: 3.464

4.  Screening and Biological Function Analysis of miRNA and mRNA Related to Lung Adenocarcinoma Based on Bioinformatics Technology.

Authors:  Kaining Jia; Xiaocang Ren; Yuee Liu; Jiawei Wang
Journal:  J Oncol       Date:  2022-08-31       Impact factor: 4.501

5.  miR-149-3p Is a Potential Prognosis Biomarker and Correlated with Immune Infiltrates in Uterine Corpus Endometrial Carcinoma.

Authors:  Xiaoyuan Lu; Li Jing; Sicong Liu; Haihong Wang; Buze Chen
Journal:  Int J Endocrinol       Date:  2022-06-08       Impact factor: 2.803

6.  Novel lncRNA Panel as for Prognosis in Esophageal Squamous Cell Carcinoma Based on ceRNA Network Mechanism.

Authors:  Jin Zhang; Fei Xiao; Guangliang Qiang; Zhenrong Zhang; Qianli Ma; Yang Hao; Huajie Xing; Chaoyang Liang
Journal:  Comput Math Methods Med       Date:  2021-09-24       Impact factor: 2.238

  6 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.