Your browser doesn't support javascript.
loading
Predictive Value of Tumor Mutation Burden in Immunotherapy for Lung Cancer / 中国肺癌杂志
Chinese Journal of Lung Cancer ; (12): 380-384, 2019.
Artículo en Chino | WPRIM | ID: wpr-775617
ABSTRACT
The morbidity and mortality of lung cancer is the first in the world, immunotherapy has become a important treatment strategy in addition to chemotherapy, radiotherapy and targeted therapy. In recent years, the US Food and Drug Administration (FDA) has successively approved immunological checkpoint inhibitors as standard programs for non-small cell lung cancer (NSCLC) in second-line or first-line treatment. The National Comprehensive Cancer Network (NCCN) also recommends immunological checkpoint inhibitors as the standard treatment for small cell lung cancer (SCLC). Now, the treatment for lung cancer has entered the era of precision treatment, it is very important to select effective and reliable biomarker for the dominant populations of lung cancer to receive immunotherapy. A large number of researchs indicated that tumor mutation burden (TMB) may be an independent predicted biomarker for immunotherapy, but with limitations. This article reviewed the predictive value of TMB and its limitations in the field of immunotherapy for lung cancer.
Asunto(s)

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Biomarcadores / Carga Tumoral / Quimioterapia / Genética / Factores Inmunológicos / Inmunoterapia / Neoplasias Pulmonares / Metabolismo / Mutación Tipo de estudio: Estudio pronóstico Límite: Animales / Humanos Idioma: Chino Revista: Chinese Journal of Lung Cancer Año: 2019 Tipo del documento: Artículo

Similares

MEDLINE

...
LILACS

LIS

Texto completo: Disponible Índice: WPRIM (Pacífico Occidental) Asunto principal: Biomarcadores / Carga Tumoral / Quimioterapia / Genética / Factores Inmunológicos / Inmunoterapia / Neoplasias Pulmonares / Metabolismo / Mutación Tipo de estudio: Estudio pronóstico Límite: Animales / Humanos Idioma: Chino Revista: Chinese Journal of Lung Cancer Año: 2019 Tipo del documento: Artículo