Signature-Reversal Drug Repurposing for Triple-Negative Breast Cancer: A Multi-Database Computational Screen Using TCGA, Connectivity Map and DepMap
Year: 2026
Type: preprint
Abstract: I conducted an independent computational research project on drug repurposing for triple-negative breast cancer (TNBC), using public datasets from TCGA, Connectivity Map (CMap), and DepMap. The study analysed gene-expression patterns in tumour and normal breast tissue, identified potential drug candidates through signature reversal, and compared their sensitivity across TNBC, luminal, and HER2-positive breast cancer cell lines. The results highlighted trametinib as a possible candidate for further investigation, although no drug showed statistically significant TNBC-selective activity. This preliminary study demonstrates how computational biology and publicly available data can help generate research hypotheses for future experimental validation.
Author: Baig, Mirza Sheezan
Language: English
Subfield: Computational Theory and Mathematics
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7225007875