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Article

Assessing genotype-phenotype correlations in colorectal cancer with deep learning: a multicentre cohort study.

The Lancet. Digital health - 1 Aug 2025

Gustav Marco, van Treeck Marko, Reitsam Nic G, Carrero Zunamys I, Loeffler Chiara M L, Rabasco Meneghetti Asier, Märkl Bruno, Boardman Lisa A, French Amy J, Goode Ellen L, Gsur Andrea, Brezina Stefanie, Gunter Marc J, Murphy Neil, Hönscheid Pia, Sperling Christian, Foersch Sebastian, Steinfelder Robert, Harrison Tabitha, Peters Ulrike, Phipps Amanda, Kather Jakob Nikolas

Abstract excerpt

BACKGROUND: Deep learning-based models enable the prediction of molecular biomarkers from histopathology slides of colorectal cancer stained with haematoxylin and eosin; however, few studies have assessed prediction targets beyond microsatellite instability (MSI), BRAF, and KRAS systematically. We aimed to develop and validate a multi-target model based on deep learning for the simultaneous prediction of numerous...

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Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

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Identifiers

PMID: 40829965
DOI: 10.1016/j.landig.2025.100891
PMCID: PMC13274733

Genes

BRAF
KRAS
RNF43

Provenance

PubMed metadata and Literature Corpus relationships. Corpus snapshot updated 2 Sept 2026.

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