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To be, or not to be: the dilemma of immunotherapy for non-small cell lung cancer harboring various driver mutations.

Authors :
Cai, Ruoxue
Zhu, Hongyu
Liu, Ying
Sha, Huanhuan
Peng, Weiwei
Yin, Rong
Zhou, Guoren
Fang, Ying
Source :
Journal of Cancer Research & Clinical Oncology; Sep2023, Vol. 149 Issue 12, p10027-10040, 14p
Publication Year :
2023

Abstract

Introduction: Lung cancer is one of primary cancer type with high incidence and mortality, non-small cell lung cancer (NSCLC) is the most common type of lung cncer. For advanced lung cancer, traditional chemotherapy and targeted therapy become difficult to solve the dilemma of further progress. In recent years, with the clinical application of immunotherapy, the therapeutic strategy of lung cancer has changed dramatically. At present, immunotherapy has shown conspicuous efficacy in NSCLC patients with high expression of programmed death-ligand 1 (PD-L1) and high tumor mutational burden (TMB). The discovery of driver mutations brings delightful hope for targeted cancer therapy. However, it remains controversial whether immunotherapy can be used in NSCLC patients with these specific driver mutations. Method: This article summarized the latest research progresses of immunotherapy in advanced NSCLC. We paid close attention to the relevance of various driver mutations and immunotherapy in NSCLC patients, and summarized the predictive effects of several driver mutations and immunotherapy. Results: The mutations of KRAS, KRAS+TP53, EPHA (especially EPHA5), ZFHX3, ZFHX3+TP53, NOTCH, BRAF and LRP1B+FAT3 have potential to be used as biomarkers to predict the positive effectiveness of immunotherapy. ZFHX3, ZFHX3+TP53, STKII/LKB1+KEAP1+SMARCA4+PBRM1 mutations in LUAD patients get more positive effect in immunotherapy. While the mutations of EGFR, KEAP1, STKII/LKB1+KRAS, EML4-ALK, MET exon 14 skipping mutation, PBRM1, STKII/LKB1+KEAP1+SMARCA4+PBRM1, ERBB2, PIK3CA and RET often indicate poor benefit from immunotherapy. Conclusion: Many gene mutations have been shown to be associated with immunotherapy efficacy. Gene mutations should be combined with PD-L1, TMB, etc. to predict the effect of immunotherapy. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
01715216
Volume :
149
Issue :
12
Database :
Complementary Index
Journal :
Journal of Cancer Research & Clinical Oncology
Publication Type :
Academic Journal
Accession number :
169911504
Full Text :
https://doi.org/10.1007/s00432-023-04919-4