Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer-Reference-Cited by-同舟云学术

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Integrated analysis of multiple transcriptomic approaches and machine learning integration algorithms reveals high endothelial venules as a prognostic immune-related biomarker in bladder cancer

Published:2024-07 Issue: Volume:136 Page:112184
ISSN:1567-5769
Container-title:International Immunopharmacology
language:en
Short-container-title:International Immunopharmacology

Author:

Zhang Jinge^ORCID,Huang Yuan,Tan Xing,Wang Zihuan,Cheng Ranyang,Zhang Shenlan,Chen Yuwen,Jiang Feifan,Tan Wanlong,Deng Xiaolin,Li Fei

Funder

Natural Science Foundation of Guangdong Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference79 articles.

1. Bladder cancer;Dyrskjot;Nat. Rev. Dis. Primers,2023

2. Regulation of cisplatin resistance in bladder cancer by epigenetic mechanisms;Li;Drug Resist. Updat.,2023

3. Modulating undruggable targets to overcome cancer therapy resistance;Passirani;Drug Resist. Updat.,2022

4. Supramolecular biomaterials for cancer immunotherapy;Liang;Research,2023

5. A novel therapeutic strategy for non-muscle invasive bladder cancer: OncoTherad® immunotherapy associated with platelet-rich plasma;de Souza;Int. Immunopharmacol.,2023

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