Open AccessIdentification of modules and novel prognostic biomarkers in liver cancer through integrated bioinformatics analysis
Author(s) -
Shen Bo,
Li Kun,
Zhang Yuting
Publication year - 2020
Publication title -
febs open bio
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.718
H-Index - 31
ISSN - 2211-5463
DOI - 10.1002/2211-5463.12983
Subject(s) - identification (biology) , cancer , bioinformatics , computational biology , medicine , biology , ecology
In this study, we constructed nine coexpression modules and identified that miR‐105‐5p, miR‐767‐5p, miR‐1266‐5p, miR‐4746‐5p, miR‐500a‐3p, miR‐1180‐3p and miR‐139‐5p were differentially expressed in liver cancer. These miRNAs exhibited a significant association with prognosis of patients with liver cancer. Among them, miR‐105‐5p and miR‐139‐5p may be considered as independent prognostic factors. Thus, seven miRNAs could be prognostic biomarkers for liver cancer.