TMB in NSCLC: A Broken Dream?
Int J Mol Sci
; 22(12)2021 Jun 18.
Article
em En
| MEDLINE
| ID: mdl-34207126
ABSTRACT
Although immune checkpoint inhibitors have changed the treatment paradigm of a variety of cancers, including non-small-cell lung cancer, not all patients respond to immunotherapy in the same way. Predictive biomarkers for patient selection are thus needed. Tumor mutation burden (TMB), defined as the total number of somatic/acquired mutations per coding area of a tumor genome (Mut/Mb), has emerged as a potential predictive biomarker of response to immune checkpoint inhibitors. We found that the limited use of TMB in clinical practice is due to the difficulty in its detection and compounded by several different biological, methodological and economic issues. The incorporation of both TMB and PD-L1 expression or other biomarkers into multivariable predictive models could result in greater predictive power.
Palavras-chave
Texto completo:
1
Base de dados:
MEDLINE
Assunto principal:
Biomarcadores Tumorais
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Carcinoma Pulmonar de Células não Pequenas
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Predisposição Genética para Doença
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Neoplasias Pulmonares
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Mutação
Tipo de estudo:
Diagnostic_studies
/
Prognostic_studies
Limite:
Humans
Idioma:
En
Revista:
Int J Mol Sci
Ano de publicação:
2021
Tipo de documento:
Article
País de afiliação:
Itália