Predictive Value of Tumor Mutation Burden in Immunotherapy for Lung Cancer.
10.3779/j.issn.1009-3419.2019.06.08
- Author:
Huanlan SA
1
;
Kewei MA
2
;
Yong GAO
1
;
Deqiang WANG
1
Author Information
1. Department of Pain Management, Affiliated Hospital of Binzhou Medical University, Binzhou 256603, China.
2. Cancer Center, the First Hospital of Jilin University, Changchun 130021, China.
- Publication Type:Journal Article
- Keywords:
Immunity therapy;
Immunological checkpoint inhibitors;
Lung neoplasms;
Tumor mutation burden
- MeSH:
Animals;
Biomarkers;
metabolism;
Humans;
Immunologic Factors;
administration & dosage;
Immunotherapy;
Lung Neoplasms;
drug therapy;
genetics;
metabolism;
Mutation;
Tumor Burden
- From:
Chinese Journal of Lung Cancer
2019;22(6):380-384
- CountryChina
- Language:Chinese
-
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.
