Integration analysis of senescence-related genes to predict prognosis and immunotherapy response in soft-tissue sarcoma: evidence based on machine learning and experiments.

Qi, Lin; Chen, Fangyue; Wang, Lu; Yang, Zhimin; Zhang, Wenchao; Li, Zhihong

Qi, Lin; Chen, Fangyue; Wang, Lu; Yang, Zhimin; Zhang, Wenchao; Li, Zhihong.

Afiliación

Qi L; Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Chen F; Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China.
Wang L; Department of General Surgery, Changhai Hospital, Navy Military Medical University, Shanghai, China.
Yang Z; Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.
Zhang W; Hunan Key Laboratory of Tumor Models and Individualized Medicine, The Second Xiangya Hospital, Changsha, China.
Li Z; Department of Orthopedics, The Second Xiangya Hospital, Central South University, Changsha, China.

Front Pharmacol ; 14: 1229233, 2023.

Article en En | MEDLINE | ID: mdl-37497116

Palabras clave

immunotherapy response; molecular profiling; prediction model; senescence; soft-tissue sarcoma

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Texto completo: 1 Bases de datos: MEDLINE Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Pharmacol Año: 2023 Tipo del documento: Article País de afiliación: China

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