Article

A machine learning framework for supervised treatment response prediction from tumor transcriptomics: A large-scale pan-cancer study

2025-10-26

Abstract excerpt

Precision oncology aims to guide treatment decisions using biomarkers. While DNA-based panels are increasingly applied, RNA transcriptomics remain underused due to limited datasets and the absence of robust models. We assembled the largest transcriptomic resource for drug response prediction to date, spanning 91 cohorts, 5,675 patients, nine cancer types, and six frontline therapies: anti-PD-1/PD-L1 immune-checkpo...

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Literature Corpus work: 5d93ab63-b30e-5882-9d7a-72e2736df831
DOI: 10.1101/2025.10.24.684491

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