Potential association factors for developing effective peptide-based cancer vaccines.

Jiang, Chongming; Li, Jianrong; Zhang, Wei; Zhuang, Zhenkun; Liu, Geng; Hong, Wei; Li, Bo; Zhang, Xiuqing; Chao, Cheng-Chi

Jiang, Chongming; Li, Jianrong; Zhang, Wei; Zhuang, Zhenkun; Liu, Geng; Hong, Wei; Li, Bo; Zhang, Xiuqing; Chao, Cheng-Chi.

Afiliación

Jiang C; Department of Medicine, Baylor College of Medicine, Houston TX, United States.
Li J; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, United States.
Zhang W; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, United States.
Zhuang Z; Department of Medicine, Baylor College of Medicine, Houston TX, United States.
Liu G; Dan L Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, United States.
Hong W; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, United States.
Li B; Institute of Super Cell, BGI-Shenzhen, Shenzhen, China.
Zhang X; Institute of Super Cell, BGI-Shenzhen, Shenzhen, China.
Chao CC; Institute of Super Cell, BGI-Shenzhen, Shenzhen, China.

Front Immunol ; 13: 931612, 2022.

Article en En | MEDLINE | ID: mdl-35967400

Asunto(s)

Vacunas contra el Cáncer; Melanoma; Adyuvantes Inmunológicos; Humanos; Aceite Mineral; Péptidos; Vacunas de Subunidad

Palabras clave

cancer vaccine; clinical response; machine learning; peptide; potential factors

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Vacunas contra el Cáncer / Melanoma Tipo de estudio: Prognostic_studies / Risk_factors_studies Idioma: En Revista: Front Immunol Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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