Literature DB >> 30064138

Identifying Differentially Expressed MicroRNAs Between Cirrhotic and Non-Cirrhotic Hepatocellular Carcinoma and Exploring Their Functions Using Bioinformatic Analysis.

Ying Mei1, Yu You2, Jin Xia2, Jian-Ping Gong2, Yun-Bing Wang2.   

Abstract

BACKGROUND/AIMS: Few studies have been designed to directly investigate the exact mechanisms underlying the different phenotypes between cirrhotic and non-cirrhotic hepatocellular carcinoma (HCC). This study aimed to illuminate the incidence and developmental mechanisms for both types of HCC through differentially expressed microRNAs (miRNAs) using bioinformatic analysis.
METHODS: The miRNA-seq data and clinical data of patients (from The Cancer Genome Atlas (TCGA) database) were utilized to determine differentially expressed miRNAs between cirrhotic and non-cirrhotic HCC. Afterwards, the function of the selected miRNAs was predicted with online tools. Furthermore, the miRNA expression and clinical significance were validated by external datasets and our experiment.
RESULTS: The present study included 135 non-cirrhotic and 80 cirrhotic patients to find differentially expressed miRNAs. Among them, four miRNAs (mir-1296, mir-23c, mir-149, and mir-95) were finally selected for further validation and analysis. Correlation analysis found that two miRNAs are greatly associated with the non-cirrhotic HCC patients' clinical traits, such as the T, M, and N tumor stages. However, only mir-23c was associated with the cirrhotic HCC patients' tumor T and N stages. Furthermore, survival analysis revealed that increased mir-149 in non-cirrhotic HCC, patients' age and the existence of vessels in the tumor in cirrhotic HCC were independent risk factors for the patients' postoperative overall survival. Functional and interaction analyses also supported the notion that these miRNAs function through some pathways that influence the behavior of the HCC. These results are strongly supported by analysis of extra datasets and our experiment.
CONCLUSIONS: The cirrhotic and non-cirrhotic HCC types involve differentially expressed miRNAs, which are correlated with distinctive pathological traits. To some extent, non-cirrhotic HCC seems more dependent on miRNA network regulation, but additional studies are needed to confirm this conclusion.
© 2018 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Bioinformatic analysis; Cirrhosis; Hepatocellular carcinoma; MicroRNA

Mesh:

Substances:

Year:  2018        PMID: 30064138     DOI: 10.1159/000492254

Source DB:  PubMed          Journal:  Cell Physiol Biochem        ISSN: 1015-8987


  4 in total

1.  Hepatocellular Carcinoma in Non-cirrhotic Liver Arises with a More Advanced Tumoral Appearance: A Single-Center Cohort Study.

Authors:  Coşkun Özer Demirtaş; Tuğba Tolu; Çaglayan Keklikkıran; Osman Cavit Özdoğan; Feyza Gündüz
Journal:  Turk J Gastroenterol       Date:  2021-08       Impact factor: 1.852

2.  Risk Scoring System based on lncRNA Expression for Predicting Survival in Hepatocellular Carcinoma with Cirrhosis.

Authors:  Jiaxiang Ye; Haixia Li; Jiazhang Wei; Yue Luo; Hongmei Liu; Jinyan Zhang; Xiaoling Luo
Journal:  Asian Pac J Cancer Prev       Date:  2020-06-01

Review 3.  Hepatocellular carcinoma in non-cirrhotic liver: A comprehensive review.

Authors:  Aakash Desai; Sonia Sandhu; Jin-Ping Lai; Dalbir Singh Sandhu
Journal:  World J Hepatol       Date:  2019-01-27

4.  Prognostic and diagnostic value of SOX9 in cirrhotic and noncirrhotic hepatocellular carcinoma.

Authors:  Zhong-Ping Xu; Yan Liu; Zhen-Ru Wu; Jian-Ping Gong; Yun-Bing Wang
Journal:  Transl Cancer Res       Date:  2021-06       Impact factor: 1.241

  4 in total

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