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Article

Genomic Characterization of Lung Cancer in Never-Smokers Using Deep Learning.

Modern pathology : an official journal of the United States and Canadian Academy of Pathology, Inc - 1 Apr 2026

Saha Monjoy, Tran Thi-Van-Trinh, Bhawsar Praphulla Ms, Zhang Tongwu, Zhao Wei, Hoang Phuc H, Mutreja Karun, Lawrence Scott M, Rothman Nathaniel, Lan Qing, Homer Robert, Baine Marina K, Sholl Lynette M, Joubert Philippe, Leduc Charles, Travis William D, Chanock Stephen J, Shi Jianxin, Yang Soo-Ryum, Almeida Jonas S, Landi Maria Teresa

Abstract excerpt

Despite promising results in using deep learning to infer genetic features from histologic whole-slide images (WSIs), no prior studies have specifically applied these methods to lung adenocarcinomas from subjects who have never smoked tobacco (never-smoker lung adenocarcinoma [NS-LUAD])-a molecularly and histologically distinct subset of lung cancer. Existing models have focused on LUAD from predominantly smoker...

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Identifiers

PMID: 41638573
DOI: 10.1016/j.modpat.2026.100973
PMCID: PMC12975288

Genes

EGFR
KRAS
ALK
CDKN2A
MDM2
RBM10
TP53

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