A combination of intrinsic and extrinsic features improves prognostic prediction in malignant pleural mesothelioma.

Nguyen, Thinh T; Lee, Hyun-Sung; Burt, Bryan M; Amos, Christopher I; Cheng, Chao

Nguyen, Thinh T; Lee, Hyun-Sung; Burt, Bryan M; Amos, Christopher I; Cheng, Chao.

Afiliación

Nguyen TT; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.
Lee HS; Division of General Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, 77030, USA.
Burt BM; Division of General Thoracic Surgery, Michael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, TX, 77030, USA.
Amos CI; Institute for Clinical and Translational Research, Baylor College of Medicine, Houston, TX, 77030, USA.
Cheng C; Department of Medicine, Baylor College of Medicine, Houston, TX, 77030, USA.

Br J Cancer ; 127(9): 1691-1700, 2022 11.

Article en En | MEDLINE | ID: mdl-35999269

Asunto(s)

Neoplasias Pulmonares; Mesotelioma Maligno; Mesotelioma; Neoplasias Pleurales; Humanos; Mesotelioma/patología; Pronóstico; Neoplasias Pulmonares/patología; ARN Mensajero; Biomarcadores; Biomarcadores de Tumor/genética; Microambiente Tumoral

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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Pleurales / Mesotelioma Maligno / Neoplasias Pulmonares / Mesotelioma Tipo de estudio: Prognostic_studies / Risk_factors_studies Límite: Humans Idioma: En Revista: Br J Cancer Año: 2022 Tipo del documento: Article País de afiliación: Estados Unidos

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