Comprehensive molecular interaction map of TGFβ induced epithelial to mesenchymal transition in breast cancer.
Gottumukkala Sai BhavaniTrivadi Sundaram GanesanAnbumathi PalanisamyPublished in: NPJ systems biology and applications (2024)
Breast cancer is one of the prevailing cancers globally, with a high mortality rate. Metastatic breast cancer (MBC) is an advanced stage of cancer, characterised by a highly nonlinear, heterogeneous process involving numerous singling pathways and regulatory interactions. Epithelial-mesenchymal transition (EMT) emerges as a key mechanism exploited by cancer cells. Transforming Growth Factor-β (TGFβ)-dependent signalling is attributed to promote EMT in advanced stages of breast cancer. A comprehensive regulatory map of TGFβ induced EMT was developed through an extensive literature survey. The network assembled comprises of 312 distinct species (proteins, genes, RNAs, complexes), and 426 reactions (state transitions, nuclear translocations, complex associations, and dissociations). The map was developed by following Systems Biology Graphical Notation (SBGN) using Cell Designer and made publicly available using MINERVA ( http://35.174.227.105:8080/minerva/?id=Metastatic_Breast_Cancer_1 ). While the complete molecular mechanism of MBC is still not known, the map captures the elaborate signalling interplay of TGFβ induced EMT-promoting MBC. Subsequently, the disease map assembled was translated into a Boolean model utilising CaSQ and analysed using Cell Collective. Simulations of these have captured the known experimental outcomes of TGFβ induced EMT in MBC. Hub regulators of the assembled map were identified, and their transcriptome-based analysis confirmed their role in cancer metastasis. Elaborate analysis of this map may help in gaining additional insights into the development and progression of metastatic breast cancer.
Keyphrases
- transforming growth factor
- epithelial mesenchymal transition
- metastatic breast cancer
- high glucose
- signaling pathway
- diabetic rats
- high density
- single cell
- transcription factor
- systematic review
- papillary thyroid
- stem cells
- gene expression
- drug induced
- coronary artery disease
- cross sectional
- molecular dynamics
- type diabetes
- bone marrow
- rna seq
- cardiovascular events
- risk factors
- mesenchymal stem cells
- stress induced
- skeletal muscle
- network analysis