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肿瘤突变负荷应用于肺癌免疫治疗的专家共识

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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Formato: Online Artículo Texto
Lenguaje:English
Publicado: 中国肺癌杂志编辑部 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607287/
https://www.ncbi.nlm.nih.gov/pubmed/34802204
http://dx.doi.org/10.3779/j.issn.1009-3419.2021.101.40
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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.
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spelling pubmed-86072872021-12-03 肿瘤突变负荷应用于肺癌免疫治疗的专家共识 Zhongguo Fei Ai Za Zhi 专家共识 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. 中国肺癌杂志编辑部 2021-11-20 /pmc/articles/PMC8607287/ /pubmed/34802204 http://dx.doi.org/10.3779/j.issn.1009-3419.2021.101.40 Text en 版权所有©《中国肺癌杂志》编辑部2021 https://creativecommons.org/licenses/by/3.0/This is an open access article distributed in accordance with the terms of the Creative Commons Attribution (CC BY 3.0) License. See: https://creativecommons.org/licenses/by/3.0/.
spellingShingle 专家共识
肿瘤突变负荷应用于肺癌免疫治疗的专家共识
title 肿瘤突变负荷应用于肺癌免疫治疗的专家共识
title_full 肿瘤突变负荷应用于肺癌免疫治疗的专家共识
title_fullStr 肿瘤突变负荷应用于肺癌免疫治疗的专家共识
title_full_unstemmed 肿瘤突变负荷应用于肺癌免疫治疗的专家共识
title_short 肿瘤突变负荷应用于肺癌免疫治疗的专家共识
title_sort 肿瘤突变负荷应用于肺癌免疫治疗的专家共识
topic 专家共识
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8607287/
https://www.ncbi.nlm.nih.gov/pubmed/34802204
http://dx.doi.org/10.3779/j.issn.1009-3419.2021.101.40
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