Article

A deep learning model for the prediction of pathogenic POLE mutations and microsatellite instability in colorectal cancer from digital pathology images

2025-07-31

Abstract excerpt

<title>Abstract</title> <p>POLE-mutant colorectal cancers (CRCs) exhibit high tumor mutational burden (TMB) and immunogenicity, yet their clinical detection remains challenging due to cost and complexity. We developed whole-slide image cohorts of POLE-mutant, MSI-H, and MSS&TMB-L CRCs and trained an attention-based deep learning model (CLAM) to identify MSI-H and POLE mutations. POLE-mutant CRCs showed distinct p...

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Literature Corpus work: e557ae32-84cc-5a73-ab0e-5b811fe89c61
DOI: 10.21203/rs.3.rs-6692980/v1

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