Expert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer

Lung cancer is one of the malignant tumors with the highest morbidity and mortality in the world. Immune checkpoint inhibitors (ICIs), including programmed cell death 1 (PD-1) antibody, programmed cell death ligand 1 (PD-L1) antibody, and cytotoxic T lymphocyte associated protein 4 (CTLA-4) antibody...

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Autores principales: Chinese Society of Clinical Oncology, Expert Committee on Tumor Vascular-targeted Therapy, Chinese Society of Clinical Oncology, Expert Committee on Non-small Cell Lung Cancer
Formato: article
Lenguaje:ZH
Publicado: Chinese Anti-Cancer Association; Chinese Antituberculosis Association 2021
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Acceso en línea:https://doaj.org/article/73efbbca7aad481c9495e49e699bda8c
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spelling oai:doaj.org-article:73efbbca7aad481c9495e49e699bda8c2021-11-19T06:49:15ZExpert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer1009-34191999-618710.3779/j.issn.1009-3419.2021.101.40https://doaj.org/article/73efbbca7aad481c9495e49e699bda8c2021-11-01T00:00:00Zhttp://dx.doi.org/10.3779/j.issn.1009-3419.2021.101.40https://doaj.org/toc/1009-3419https://doaj.org/toc/1999-6187Lung cancer is one of the malignant tumors with the highest morbidity and mortality in the world. Immune checkpoint inhibitors (ICIs), including programmed cell death 1 (PD-1) antibody, programmed cell death ligand 1 (PD-L1) antibody, and cytotoxic T lymphocyte associated protein 4 (CTLA-4) antibody. It has brought significant survival benefits to some patients with advanced lung cancer and changed the treatment pattern of advanced lung cancer. Previous studies have shown that the objective response rate of PD-1/PD-L1 antibody in advanced non-small cell lung cancer (NSCLC) is only about 20%. So reliable biomarkers are urgently needed to screen out the potential benefit population of ICIs and improve the clinical response rate. Tumor mutational burden (TMB) is an emerging biomarker of immunotherapy in addition to PD-L1 expression. There is little correlation between PD-L1 expression and TMB in lung cancer. It is estimated that TMB can expand the benefit population of immunotherapy. However, in clinical practice, the detection of TMB, the determination of cut-off value and the clinical guidance strategy are still not standardized. This consensus will give guiding suggestions on the detection and application scenarios of TMB, so as to promote the standardization of TMB application for immunotherapy in lung cancer.Chinese Society of Clinical Oncology, Expert Committee on Tumor Vascular-targeted TherapyChinese Society of Clinical Oncology, Expert Committee on Non-small Cell Lung CancerChinese Anti-Cancer Association; Chinese Antituberculosis Associationarticlelung neoplasmsimmunotherapyimmune checkpoint inhibitorstumor mutational burdenexpert consensusNeoplasms. Tumors. Oncology. Including cancer and carcinogensRC254-282ZHChinese Journal of Lung Cancer, Vol 24, Iss 11, Pp 743-752 (2021)
institution DOAJ
collection DOAJ
language ZH
topic lung neoplasms
immunotherapy
immune checkpoint inhibitors
tumor mutational burden
expert consensus
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
spellingShingle lung neoplasms
immunotherapy
immune checkpoint inhibitors
tumor mutational burden
expert consensus
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Chinese Society of Clinical Oncology, Expert Committee on Tumor Vascular-targeted Therapy
Chinese Society of Clinical Oncology, Expert Committee on Non-small Cell Lung Cancer
Expert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer
description Lung cancer is one of the malignant tumors with the highest morbidity and mortality in the world. Immune checkpoint inhibitors (ICIs), including programmed cell death 1 (PD-1) antibody, programmed cell death ligand 1 (PD-L1) antibody, and cytotoxic T lymphocyte associated protein 4 (CTLA-4) antibody. It has brought significant survival benefits to some patients with advanced lung cancer and changed the treatment pattern of advanced lung cancer. Previous studies have shown that the objective response rate of PD-1/PD-L1 antibody in advanced non-small cell lung cancer (NSCLC) is only about 20%. So reliable biomarkers are urgently needed to screen out the potential benefit population of ICIs and improve the clinical response rate. Tumor mutational burden (TMB) is an emerging biomarker of immunotherapy in addition to PD-L1 expression. There is little correlation between PD-L1 expression and TMB in lung cancer. It is estimated that TMB can expand the benefit population of immunotherapy. However, in clinical practice, the detection of TMB, the determination of cut-off value and the clinical guidance strategy are still not standardized. This consensus will give guiding suggestions on the detection and application scenarios of TMB, so as to promote the standardization of TMB application for immunotherapy in lung cancer.
format article
author Chinese Society of Clinical Oncology, Expert Committee on Tumor Vascular-targeted Therapy
Chinese Society of Clinical Oncology, Expert Committee on Non-small Cell Lung Cancer
author_facet Chinese Society of Clinical Oncology, Expert Committee on Tumor Vascular-targeted Therapy
Chinese Society of Clinical Oncology, Expert Committee on Non-small Cell Lung Cancer
author_sort Chinese Society of Clinical Oncology, Expert Committee on Tumor Vascular-targeted Therapy
title Expert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer
title_short Expert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer
title_full Expert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer
title_fullStr Expert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer
title_full_unstemmed Expert Consensus on Tumor Mutational Burden for Immunotherapy in Lung Cancer
title_sort expert consensus on tumor mutational burden for immunotherapy in lung cancer
publisher Chinese Anti-Cancer Association; Chinese Antituberculosis Association
publishDate 2021
url https://doaj.org/article/73efbbca7aad481c9495e49e699bda8c
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