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Updated: Jan 25, 2026

Studying Triple Negative Breast Cancer Using Orthotopic Breast Cancer Model
Published on: March 20, 2020
Novel key genes in triple-negative breast cancer identified by weighted gene co-expression network analysis
Jian Chen1, Xiaojun Qian1, Yifu He1
1Department of Oncology, The First Affiliated Hospital of University of Science and Technology of China, Hefei, China.
Abstract:
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.
Insights
Triple-negative breast cancer (TNBC) research identified NCAPG and ABCA9 as key genes. These novel biomarkers may offer new therapeutic targets for TNBC, improving patient outcomes.
Area of Science:
- Oncology
- Genomics
- Bioinformatics
Background:
- Triple-negative breast cancer (TNBC) presents a poor prognosis with limited treatment options.
- Identifying novel biomarkers and drug targets is crucial for advancing TNBC therapies.
Purpose of the Study:
- To identify novel key genes and potential therapeutic targets for triple-negative breast cancer.
- To analyze gene expression data for new insights into TNBC mechanisms.
Main Methods:
- Utilized four independent datasets (GSE76250, GSE31448, GSE43358, METABRIC).
- Performed weighted gene co-expression network analysis (WGCNA) on differentially expressed genes.
- Conducted Gene Ontology and pathway enrichment analyses, and survival analysis.
Main Results:
- Identified two modules associated with the KI67 score in TNBC.
- Discovered Non-SMC condensin I complex subunit G (NCAPG) and ATP-binding cassette subfamily A member 9 (ABCA9) as significant hub genes.
- Validated the significance of NCAPG and ABCA9 in an independent dataset and confirmed their prognostic value.
Conclusions:
- NCAPG and ABCA9 are suggested as key genes in triple-negative breast cancer.
- ABCA9 is identified as a novel potential biomarker and therapeutic target for TNBC, warranting further investigation.
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