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Article

Histopathology based AI model predicts anti-angiogenic therapy response in renal cancer clinical trial.

Nature communications - 17 Mar 2025

Jasti Jay, Zhong Hua, Panwar Vandana, Jarmale Vipul, Miyata Jeffrey, Carrillo Deyssy, Christie Alana, Rakheja Dinesh, Modrusan Zora, Kadel Edward Ernest, Beig Niha, Huseni Mahrukh, Brugarolas James, Kapur Payal, Rajaram Satwik

Abstract excerpt

Anti-angiogenic (AA) therapy is a cornerstone of metastatic clear cell renal cell carcinoma (ccRCC) treatment, but not everyone responds, and predictive biomarkers are lacking. CD31, a marker of vasculature, is insufficient, and the Angioscore, an RNA-based angiogenesis quantification method, is costly, associated with delays, difficult to standardize, and does not account for tumor heterogeneity. Here, we...

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Methodology Data sources Editorial policy Privacy Delete account & data About Contact Helena Bioinformatics

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Identifiers

PMID: 40097393
DOI: 10.1038/s41467-025-57717-6
PMCID: PMC11914575

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