Waike lilun yu shijian (May 2021)

Expression of microRNA-324-5p in hepatocellular carcinoma based on the Cancer Genome Atlas (TCGA) database and analysis of prognosis risk factor

  • WU Chengxiao, FANG Jie, ZHOU Jichuan, XIAO Yongsheng, ZHANG Xiaoguang

DOI
https://doi.org/10.16139/j.1007-9610.2021.03.015
Journal volume & issue
Vol. 26, no. 03
pp. 249 – 253

Abstract

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Objective To study the expression of microRNA-324-5p (miR-324-5p) in hepatocellular carcinoma (HCC) and the prognosis risk factor in patients with HCC. Methods MiRNA expression database in tissue of both tumor and normal liver combined with clinical data of HCC patients were collected from The Cancer Genome Atlas (TCGA) database. Relationship between miR-324-5p expression and pathological features was analyzed. Relation of miR-324-5p expression to prognosis of the patients was analyzed through survival curve. Univariate and multivariate Cox regression models were used to analyze the risk factors related to HCC. Results The expressions of miR-324-5p in HCC were higher than those in normal tissues(P<0.001) and were associated with poor prognosis. Multivariate Cox analysis showed that miR-324-5p was an independent risk factor for HCC (P<0.05). Conclusions MiR-324-5p is upregulated in HCC, which play a role as risk factor in the HCC patients with shorten suvival and may be a possible biomarker of HCC prognosis prediction.

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