Construction and validation of programmed cell death-based molecular clusters for prognostic and therapeutic significance of clear cell renal cell carcinoma.

Tang, Yanlin; Zhang, Changzheng; Ye, Chujin; Tian, Kaiwen; Zeng, Jiayi; Cheng, Shouyu; Zeng, Weinan; Yang, Bowen; Liu, Yanjun; Yu, Yuming

Tang, Yanlin; Zhang, Changzheng; Ye, Chujin; Tian, Kaiwen; Zeng, Jiayi; Cheng, Shouyu; Zeng, Weinan; Yang, Bowen; Liu, Yanjun; Yu, Yuming.

Affiliation

Tang Y; Department of Urology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zhang C; Shantou University Medical College, Shantou, China.
Ye C; Department of Urology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Tian K; Department of Urology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zeng J; Department of Urology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Cheng S; Department of Urology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Zeng W; The Second School of Clinical Medicine, Southern Medical University, Guangzhou, China.
Yang B; Department of Urology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.
Liu Y; School of Medicine, South China University of Technology, Guangzhou, China.
Yu Y; Department of Urology, Guangdong Provincial People's Hospital (Guangdong Academy of Medical Sciences), Southern Medical University, Guangzhou, China.

Heliyon ; 9(5): e15693, 2023 May.

Article de En | MEDLINE | ID: mdl-37305457

Mots clés

Clear cell renal cell carcinoma; Gene expression; Immunotherapy; Programmed cell death; Tumor microenvironment

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Texte intégral: 1 Collection: 01-internacional Base de données: MEDLINE Type d'étude: Prognostic_studies Langue: En Journal: Heliyon Année: 2023 Type de document: Article Pays d'affiliation: Chine Pays de publication: Royaume-Uni

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