Predicting CTLA4 expression and prognosis in clear cell renal cell carcinoma using a pathomics signature of histopathological images and machine learning-Reference-Cited by-同舟云学术

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Predicting CTLA4 expression and prognosis in clear cell renal cell carcinoma using a pathomics signature of histopathological images and machine learning

Published:2024-08 Issue:15 Volume:10 Page:e34877
ISSN:2405-8440
Container-title:Heliyon
language:en
Short-container-title:Heliyon

Author:

Yang Xiaoqun,Li Xiangyun,Xu Haimin,Du Silin,Wang Chaofu,He Hongchao^ORCID

Funder

NSFC

Publisher

Elsevier BV

Reference42 articles.

1. Epidemiology of renal cell carcinoma: 2022 update;Bukavina;Eur. Urol.,2022

2. Identification and validation of a DNA methylation-driven gene-based prognostic model for clear cell renal cell carcinoma;Deng;BMC Genom.,2023

3. Downstream targets of VHL/HIF-alpha signaling in renal clear cell carcinoma progression: mechanisms and therapeutic relevance;Mazumder;Cancers,2023

4. Von Hippel-Lindau disease: insights into oxygen sensing, protein degradation, and cancer;Kaelin;J. Clin. Invest.,2022

5. Prognostic and predictive value of PBRM1 in clear cell renal cell carcinoma;Carril-Ajuria;Cancers,2019

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