Development of a TMErisk model based on immune infiltration in tumour microenvironment to predict prognosis of immune checkpoint inhibitor treatment in hepatocellular carcinoma.

Yan, Zi-Jun; Yu, Chu-Ting; Chen, Lei; Wang, Hong-Yang

Yan, Zi-Jun; Yu, Chu-Ting; Chen, Lei; Wang, Hong-Yang.

Afiliación

Yan ZJ; International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital/National Center for Liver Cancer, Shanghai 200438, PR. China.
Yu CT; Key Laboratory of Signaling Regulation and Targeting Therapy of Liver Cancer (SMMU), Ministry of Education. Shanghai 200438, PR. China.
Chen L; Shanghai Key Laboratory of Hepatobiliary Tumor Biology (EHBH), Shanghai 200438, PR. China.
Wang HY; International Cooperation Laboratory on Signal Transduction, Eastern Hepatobiliary Surgery Hospital/National Center for Liver Cancer, Shanghai 200438, PR. China.

Brief Bioinform ; 24(2)2023 03 19.

Article en En | MEDLINE | ID: mdl-36882021

Asunto(s)

Carcinoma Hepatocelular; Neoplasias Hepáticas; Humanos; Carcinoma Hepatocelular/tratamiento farmacológico; Inhibidores de Puntos de Control Inmunológico/uso terapéutico; Microambiente Tumoral; Neoplasias Hepáticas/tratamiento farmacológico; Inmunoterapia

Palabras clave

genetic alterations; hepatocellular carcinoma; immune checkpoint inhibitor; immune infiltration; machine learning; tumour microenvironment

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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Contexto en salud: 6_ODS3_enfermedades_notrasmisibles Problema de salud: 6_digestive_diseases / 6_liver_cancer Asunto principal: Carcinoma Hepatocelular / Neoplasias Hepáticas Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Brief Bioinform Asunto de la revista: BIOLOGIA / INFORMATICA MEDICA Año: 2023 Tipo del documento: Article

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