AI-powered genomic mutation signature for predicting immune checkpoint inhibitor therapy outcomes in gastroesophageal cancer: a multi-cohort analysis

Abstract Background Immune checkpoint inhibitors (ICIs) have significantly transformed the treatment of gastroesophageal cancer (GEC). However, the lack of reliable prognostic biomarkers hinders the ability to predict patient response to ICI therapy. Methods In this study, we engineered and validate...

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Auteurs principaux:	Bingyin Yang, Cuie Cheng, Jingfang Zhou, Haoxiang Ni, Haoran Liu, Yiwei Fu, Rui Li
Format:	Artigo
Langue:	Inglês
Publié:	Springer 2024-09-01
Collection:	Discover Oncology
Sujets:	Artificial intelligence Gastrointestinal cancer Genomic mutation Immunotherapy Immune landscape
Accès en ligne:	https://doi.org/10.1007/s12672-024-01400-7
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