Open Access<p>Identification of Chemoresistance-Associated Key Genes and Pathways in High-Grade Serous Ovarian Cancer by Bioinformatics Analyses</p>
Author(s) -
Yong Wu,
Lingfang Xia,
Qinhao Guo,
Jun Zhu,
Yu Deng,
Xiaohua Wu
Publication year - 2020
Publication title -
cancer management and research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.024
H-Index - 40
ISSN - 1179-1322
DOI - 10.2147/cmar.s251622
Subject(s) - kegg , serous fluid , gene , biology , ovarian cancer , microarray , cancer research , cancer , bioinformatics , transcriptome , medicine , genetics , gene expression
High-grade serous ovarian cancer (HGSOC) is the leading cause of death among gynecological malignancies. This is mainly attributed to its high rates of chemoresistance. To date, few studies have investigated the molecular mechanisms underlying this resistance to treatment in ovarian cancer patients. In this study, we aimed to explore these molecular mechanisms using bioinformatics analysis.