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Predicting tumor mutation burden and VHL mutation from renal cancer pathology slides with self-supervised deep learning.

Cancer medicine - 1 Aug 2024

Zheng Qingyuan, Wang Xinyu, Yang Rui, Fan Junjie, Yuan Jingping, Liu Xiuheng, Wang Lei, Xiao Zhuoni, Chen Zhiyuan

Abstract excerpt

BACKGROUND: Tumor mutation burden (TMB) and VHL mutation play a crucial role in the management of patients with clear cell renal cell carcinoma (ccRCC), such as guiding adjuvant chemotherapy and improving clinical outcomes. However, the time-consuming and expensive high-throughput sequencing methods severely limit their clinical applicability. Predicting intratumoral heterogeneity poses significant challenges in...

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Biomarkers, Tumor
Carcinoma, Renal Cell
Deep Learning
Kidney Neoplasms

Methodology Data sources Editorial policy Privacy About Contact Helena Bioinformatics

Von Hippel-Lindau Tumor Suppressor Protein

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PMID: 39166457
DOI: 10.1002/cam4.70112
PMCID: PMC11336896

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