Open Access<p>Identification of FADS1 Through Common Gene Expression Profiles for Predicting Survival in Patients with Bladder Cancer</p>
Author(s) -
Fangdong Jiao,
Hao Sun,
Qingya Yang,
Hui Sun,
Zehua Wang,
Ming Liu,
Jun Chen
Publication year - 2020
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
ISSN - 1179-1322
DOI - 10.2147/cmar.s254316
Subject(s) - kegg , bladder cancer , biology , cancer research , cell cycle , gene , gene expression , cancer , bioinformatics , computational biology , genetics , gene ontology
Aim of this study was to identify biomarkers between different grades of bladder cancer (BLCA) and its prognostic value.