Identification of transcription factors associated with the disease-free survival of triple-negative breast cancer through weighted gene co-expression network analysis
机构：[1]Hebei Med Univ, Dept Breast Ctr, Hosp 4, Shijiazhuang, Hebei Province, Peoples R China临床科室外一科河北医科大学第四医院[2]Hebei Med Univ, Hlth Res Inst, Shijiazhuang, Hebei Province, Peoples R China[3]Hebei Med Univ, Sch Basic Med, Dept Immunol, Shijiazhuang, Hebei Province, Peoples R China[4]City Hope Natl Med Ctr, Dept Canc Genet & Epigenet, Duarte, CA USA[5]Hebei Med Univ, Sch Publ Hlth, Shijiazhuang, Hebei Province, Peoples R China
Objective: Triple-negative breast cancer (TNBC) is a subtype of breast cancer that has a worse prognosis than the other subtypes of breast cancer because of its high recurrence and metastasis rates. The objective of this study is to identify the regulatory factors that are associated with the disease-free survival (DFS) of TNBC and potential biomarkers for TNBC treatment. Material and Methods: We obtained the GSE97342 dataset from the Gene Expression Omnibus website and conducted weighted gene co-expression network analysis (WGCNA) to identify modules associated with the DFS of TNBC. Subsequently, biological functions of the modules were elucidated through Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analyses. Cross-checking with the Human Transcription Factor Database facilitated the selection of hub transcription factors through univariate Cox regression analysis of overlapping transcription factors. Utilizing bioinformatics analysis, we assessed the prognostic significance of these hub transcription factors, investigated their target genes, and explored their associations with tumor immune cells in TNBC. Finally, the expression levels of the hub transcription factors were validated by immunohistochemical staining, quantitative reverse transcription polymerase chain reaction (qRT-PCR), and Western blotting. Results: Through WGCNA analysis, we identified three modules correlated with DFS in TNBC. GO and KEGG analyses elucidated the biological functions of genes within these modules. Survival analysis pinpointed three hub transcription factors: Forkhead box D1 (FOXD1), aryl hydrocarbon receptor nuclear translocator 2 (ARNT2), and zinc finger protein 132 (ZNF132). The expression level of FOXD1 was negatively associated with the prognoses of patients with TNBC, whereas the other two genes were positively associated with the prognoses of patients with TNBC. Immunohistochemical staining, qRT-PCR, and Western blotting validated the expression levels of the hub transcription factors. Conclusion: We discovered three hub transcription factors (FOXD1, ARNT2, and ZNF132) that were correlated with the DFS of TNBC. These correlations suggested their potential as prognostic predictors for patients with TNBC.
第一作者机构：[1]Hebei Med Univ, Dept Breast Ctr, Hosp 4, Shijiazhuang, Hebei Province, Peoples R China
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推荐引用方式(GB/T 7714)：
Wang Huipo,Hao Ran,Liu Wei,et al.Identification of transcription factors associated with the disease-free survival of triple-negative breast cancer through weighted gene co-expression network analysis[J].CYTOJOURNAL.2024,21:doi:10.25259/Cytojournal_127_2024.
APA：
Wang, Huipo,Hao, Ran,Liu, Wei,Zhang, Yi,Ma, Shen...&Qi, Yixin.(2024).Identification of transcription factors associated with the disease-free survival of triple-negative breast cancer through weighted gene co-expression network analysis.CYTOJOURNAL,21,
MLA：
Wang, Huipo,et al."Identification of transcription factors associated with the disease-free survival of triple-negative breast cancer through weighted gene co-expression network analysis".CYTOJOURNAL 21.(2024)
