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Novel key genes in triple‐negative breast cancer identified by weighted gene co‐expression network analysis
Author(s) -
Chen Jian,
Qian Xiaojun,
He Yifu,
Han Xinghua,
Pan Yueyin
Publication year - 2019
Publication title -
journal of cellular biochemistry
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.028
H-Index - 165
eISSN - 1097-4644
pISSN - 0730-2312
DOI - 10.1002/jcb.28948
Subject(s) - gene co expression network , gene , triple negative breast cancer , key (lock) , breast cancer , cancer , genetics , gene expression , computational biology , biology , cancer research , gene ontology , ecology
Triple‐negative breast cancer (TNBC) is a special subtype of breast cancer (BC) with poor prognosis. Although some molecular mechanisms of TNBC have been elucidated, the efficacy of current treatments is limited. Therefore, it is urgently demanded to screen for novel biomarkers and drug targets for TNBC. In this study, we obtained four independent data sets (GSE76250, GSE31448, GSE43358, and METABRIC) from the Gene Expression Omnibus (GEO) database and the cBioPortal website. In the GSE76250 data set, 890 differentially expressed genes were identified and weighted gene co‐expression network analysis was performed based on them. Then, two preserved modules associated with the KI67 score were detected. Gene ontology and pathway enrichment analyses showed genes in the modules participated in some cancer‐related biological processes or pathways. Non‐SMC condensin I complex subunit G (NCAPG) and ATP‐binding cassette subfamily A member 9 (ABCA9) were identified as hub genes of the modules, and the significance of hub genes was validated in the GSE43358 data set. Finally, their prognostic value was assessed by survival analysis. These findings suggested that NCAPG and ABCA9 may be the key genes of TNBC. Moreover, ABCA9 was first reported in TNBC. They deserved further studies.