Literature DB >> 33456356

Construction and validation of a three-microRNA signature as prognostic biomarker in patients with hepatocellular carcinoma.

Xi Zhang1, Li Ma1, Li Zhai1, Dong Chen2, Yong Li3, Zhongjun Shang4, Zongmei Zhang5, Yanzhang Gao1, Wei Yang1, Yixun Li6, Yuqing Pan6.   

Abstract

Hepatocellular carcinoma (HCC), a common type of primary liver cancer, is one of the most aggressive malignant tumors worldwide. Although overall survival (OS) rates for HCC has significantly improved in recent years, however, the exact predictive value of microRNA (miRNA) for the prognosis of HCC has not yet been recognized. Here, we aimed to identify potential prognostic miRNAs involved in HCC by bioinformatics analysis and validated expression levels through quantitative polymerase chain reaction (qPCR) and GEO database. The RNA expression profiles and corresponding clinical information of HCC were available from The Cancer Genome Atlas (TCGA) datasets. Differentially expression and standardization analysis of miRNAs, Kaplan-Meier curve and time dependent ROC curve were performed by using R tools. Differentially expressed miRNAs (DEmiRNAs) and clinical parameters involved in the OS of HCC were confirmed by Cox regression models. And functional enrichment analysis was used to establish functions of the targeted genes of DEmiRNAs. A total of 300 DEmiRNAs were significantly related with HCC, of which 40 were down-regulated and 260 were up-regulated. A total of 344 patients with DEmiRNAs, status, overall survival (OS) time were randomized into training group (172) and test group (172). Multivariate Cox regression analyses revealed that 3 miRNA (hsa-miR-139-3p, hsa-miR-760, hsa-miR-7-5p) had independent prognostic significance for the OS of HCC in both training and test group. Moreover, according to Kaplan Meier analysis, the OS of HCC patients with high-risk score was shorter in validation and entire series. The time dependent ROC curve demonstrated high accuracy of the signature for OS. Besides, target genes of three miRNAs were analyzed by functional enrichment analysis and 20 genes associated with OS were verified by using Kaplan-Meier method. Compared with normal and benign group, the relative expression level of hsa-miR-139-3p was significantly decreased, while hsa-miR-7-5p and hsa-miR-760 were distinctly increased in the plasma of HCC patients. The same results were observed in the independent cohort. Collectively, our research suggested that three-miRNA signature could serve as an independent prognostic indicator for HCC patients. © The author(s).

Entities:  

Keywords:  TCGA; hepatocellular carcinoma; miRNA; prognosis

Year:  2021        PMID: 33456356      PMCID: PMC7807177          DOI: 10.7150/ijms.49126

Source DB:  PubMed          Journal:  Int J Med Sci        ISSN: 1449-1907            Impact factor:   3.738


  56 in total

1.  Cancer statistics, 2019.

Authors:  Rebecca L Siegel; Kimberly D Miller; Ahmedin Jemal
Journal:  CA Cancer J Clin       Date:  2019-01-08       Impact factor: 508.702

Review 2.  Hepatocellular carcinoma.

Authors:  Alejandro Forner; María Reig; Jordi Bruix
Journal:  Lancet       Date:  2018-01-05       Impact factor: 79.321

Review 3.  Liver transplantation versus liver resection for hepatocellular carcinoma in intention to treat: An attempt to perform an ideal meta-analysis.

Authors:  Benjamin Menahem; Jean Lubrano; Christophe Duvoux; Andrea Mulliri; Arnaud Alves; Charlotte Costentin; Ariane Mallat; Guy Launoy; Alexis Laurent
Journal:  Liver Transpl       Date:  2017-06       Impact factor: 5.799

4.  MicroRNA-760 Inhibits Doxorubicin Resistance in Hepatocellular Carcinoma through Regulating Notch1/Hes1-PTEN/Akt Signaling Pathway.

Authors:  Tao Tian; Xiao Fu; Jun Lu; Zhiping Ruan; Kejun Nan; Yu Yao; Yujuan Yang
Journal:  J Biochem Mol Toxicol       Date:  2018-07-03       Impact factor: 3.642

5.  MicroRNA-7 inhibits the stemness of prostate cancer stem-like cells and tumorigenesis by repressing KLF4/PI3K/Akt/p21 pathway.

Authors:  Yun-Li Chang; Pei-Jie Zhou; Lianzi Wei; Wang Li; Zhongzhong Ji; Yu-Xiang Fang; Wei-Qiang Gao
Journal:  Oncotarget       Date:  2015-09-15

6.  miR-577 Regulates TGF-β Induced Cancer Progression through a SDPR-Modulated Positive-Feedback Loop with ERK-NF-κB in Gastric Cancer.

Authors:  Yuhao Luo; Jianhua Wu; Qianying Wu; Xiaoyin Li; Jiani Wu; Jingwen Zhang; Xiaoxiang Rong; Jingjun Rao; Yulin Liao; Jianping Bin; Na Huang; Wangjun Liao
Journal:  Mol Ther       Date:  2019-02-10       Impact factor: 11.454

7.  STRING v11: protein-protein association networks with increased coverage, supporting functional discovery in genome-wide experimental datasets.

Authors:  Damian Szklarczyk; Annika L Gable; David Lyon; Alexander Junge; Stefan Wyder; Jaime Huerta-Cepas; Milan Simonovic; Nadezhda T Doncheva; John H Morris; Peer Bork; Lars J Jensen; Christian von Mering
Journal:  Nucleic Acids Res       Date:  2019-01-08       Impact factor: 16.971

8.  Identification and bioinformatics analysis of miRNAs associated with human muscle invasive bladder cancer.

Authors:  Liang Chen; Lushun Yuan; Gang Wang; Rui Cao; Jianping Peng; Bo Shu; Guofeng Qian; Xinghuan Wang; Yu Xiao
Journal:  Mol Med Rep       Date:  2017-10-04       Impact factor: 2.952

Review 9.  Validation of miRNA prognostic power in hepatocellular carcinoma using expression data of independent datasets.

Authors:  Ádám Nagy; András Lánczky; Otília Menyhárt; Balázs Győrffy
Journal:  Sci Rep       Date:  2018-06-15       Impact factor: 4.379

10.  Identification of Novel MicroRNAs and Their Diagnostic and Prognostic Significance in Oral Cancer.

Authors:  Luca Falzone; Gabriella Lupo; Giusy Rita Maria La Rosa; Salvatore Crimi; Carmelina Daniela Anfuso; Rossella Salemi; Ernesto Rapisarda; Massimo Libra; Saverio Candido
Journal:  Cancers (Basel)       Date:  2019-04-30       Impact factor: 6.639

View more
  2 in total

Review 1.  Hepatocellular Carcinoma: The Role of MicroRNAs.

Authors:  Sharad Khare; Tripti Khare; Raghu Ramanathan; Jamal A Ibdah
Journal:  Biomolecules       Date:  2022-04-27

Review 2.  Overview of MicroRNAs as Diagnostic and Prognostic Biomarkers for High-Incidence Cancers in 2021.

Authors:  Chunyan Zhang; Caifang Sun; Yabin Zhao; Qiwen Wang; Jianlin Guo; Bingyu Ye; Guoying Yu
Journal:  Int J Mol Sci       Date:  2022-09-27       Impact factor: 6.208

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.