The Role of Transcription Factors in the Loss of Inter-Chromosomal Co-Expression for Breast Cancer Subtypes

• Published in: International journal of molecular sciences Vol. 24; no. 24; p. 17564
• Main Authors: Trujillo-Ortíz, Rodrigo, Espinal-Enríquez, Jesús, Hernández-Lemus, Enrique
• Format: Journal Article
• Language: English
• Published: Switzerland MDPI AG 01.12.2023
• Subjects: Breast; Breast cancer; breast cancer molecular subtypes; Breast Neoplasms - genetics; Chromosomes; Female; gene co-expression networks; Gene expression; Gene Expression Regulation, Neoplastic; gene regulatory networks; Genotype & phenotype; Humans; Hypotheses; Investigations; MicroRNAs; Transcription factors; Transcription Factors - genetics; Tumors; breast cancer; gene co-expression networks; gene regulatory networks; breast cancer molecular subtypes; transcription factors
• ISSN: 1422-0067; 1661-6596; 1422-0067
• DOI: 10.3390/ijms242417564

Breast cancer encompasses a diverse array of subtypes, each exhibiting distinct clinical characteristics and treatment responses. Unraveling the underlying regulatory mechanisms that govern gene expression patterns in these subtypes is essential for advancing our understanding of breast cancer biology. Gene co-expression networks (GCNs) help us identify groups of genes that work in coordination. Previous research has revealed a marked reduction in the interaction of genes located on different chromosomes within GCNs for breast cancer, as well as for lung, kidney, and hematopoietic cancers. However, the reasons behind why genes on the same chromosome often co-express remain unclear. In this study, we investigate the role of transcription factors in shaping gene co-expression networks within the four main breast cancer subtypes: Luminal A, Luminal B, HER2+, and Basal, along with normal breast tissue. We identify communities within each GCN and calculate the transcription factors that may regulate these communities, comparing the results across different phenotypes. Our findings indicate that, in general, regulatory behavior is to a large extent similar among breast cancer molecular subtypes and even in healthy networks. This suggests that transcription factor motif usage does not fully determine long-range co-expression patterns. Specific transcription factor motifs, such as CCGGAAG, appear frequently across all phenotypes, even involving multiple highly connected transcription factors. Additionally, certain transcription factors exhibit unique actions in specific subtypes but with limited influence. Our research demonstrates that the loss of inter-chromosomal co-expression is not solely attributable to transcription factor regulation. Although the exact mechanism responsible for this phenomenon remains elusive, this work contributes to a better understanding of gene expression regulatory programs in breast cancer.