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Mapping Individual Chemoresistome in Breast Cancer Patients Unravels Diversity in Dynamic Transcriptional Adaptation

GSE217624 Homo sapiens Expression profiling by high throughput sequencing 84 samples 2025/11/01 GPL20301
Summary
Tumors are continuously evolving through their course of progression and treatment, a major process contributing to resistance to therapy. Recent studies brought into focus the importance of non-genetic adaptive mechanisms, by which tumors acquire resistance via rewiring transcriptional programs. To dissect these adaptive processes in the individual breast cancer patients, we combined longitudinal transcriptomics with temporal pattern analysis.
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NCBI GEO page ↗ Paper (PMID 40294066) ↗ {# Names what the click gives you. "Open in finder" meant nothing to a visitor who arrived from a search engine and has never seen the tool. #} Find more human RNA-seq datasets →
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