Gene network analysis using SWIM reveals interplay between the transcription factor‐encoding genes HMGA1, FOXM1, and MYBL2 in triple‐negative breast cancer. Issue 11 (27th April 2021)

• Record Type: Journal Article
• Authors: Fiscon, Giulia; Pegoraro, Silvia; Conte, Federica; Manfioletti, Guidalberto; Paci, Paola
• Editors: Cui, Qinghua
• Is Part Of: FEBS letters. Volume 595:Issue 11(2021)
• Page Start: 1569
• Page End: 1586
• Publication Date: 2021-04-27
• Subjects: correlation networks -- network medicine -- triple‐negative breast cancer; Biochemistry -- Periodicals; Biophysics -- Periodicals; Molecular biology -- Periodicals; Biochimie -- Périodiques; Biochemistry; Biophysics; Molecular biology; Periodicals; 572.05
• DOI: 10.1002/1873-3468.14085
• Languages: English
• ISSNs: 0014-5793

Abstract

Abstract : Among breast cancer subtypes, triple‐negative breast cancer (TNBC) is the most aggressive with the worst prognosis and the highest rates of metastatic disease. To identify TNBC gene signatures, we applied the network‐based methodology implemented by the SWIM software to gene expression data of TNBC patients in The Cancer Genome Atlas (TCGA) database. SWIM enables to predict key (switch) genes within the co‐expression network, whose perturbations in expression pattern and abundance may contribute to the (patho)biological phenotype. Here, SWIM analysis revealed an interesting interplay between the genes encoding the transcription factors HMGA1, FOXM1, and MYBL2, suggesting a potential cooperation among these three switch genes in TNBC development. The correlative nature of this interplay in TNBC was assessed by in vitro experiments, demonstrating how they may actually modulate the expression of each other. Abstract :