TP53 and ATM co-mutation predicts response to immune checkpoint inhibitors in non-small cell lung cancer

Autor: Yuelong Wang, Jianji Pan, X.W. Zheng, G. F. Chen, Cheng Wang, Lizhu Chen, Cheng Huang, J.P. Lu, X. Yi, J. Li, L.K. Pan, Yuanzhong Chen, Zengqing Guo, Yi Li, J-X. Lin, X.F. Xia, Chuanben Chen
Rok vydání: 2019
Předmět:
Zdroj: Annals of Oncology. 30:v506
ISSN: 0923-7534
Popis: Background Immune checkpoint inhibitors (ICIs) elicits durable responses in non–small cell lung cancer (NSCLC), but only a fraction of patients responded. TP53 and ATM co-mutation may lead to genomic instability and hypermutation. However, the prevalence and utility of a TP53/ATM co-mutation as a biomarker to ICIs are not fully understood. Methods This was a multiple cohort pooled study, 2020 NSCLC samples from Geneplus Institute, 1031 samples from TCGA, 1567 samples from MSKCC, 853 samples from POLAR/OAK databases were statically analyzed. Next-generation sequencing assays were performed in the Geneplus Institute. Genomic, transcriptomic and clinical data were obtained from the TCGA, MSKCC, POLAR/OAK databases. Comprehensive profiling was performed to determine the prevalence of TP53/ATM co-mutation and correlation with the prognosis and the response to ICIs. Results TP53/ATM co-mutation sites were found to be scattered throughout the genes and we did not observe any significant difference in TP53/ATM co-mutated frequency within the histologic subtypes and driver genes. In five independent NSCLC cohorts, TP53/ATM co-mutation contributed to significantly higher tumor mutation burden (TMB) compared to both the sole mutation and both wild type groups. Furthermore, in the MSKCC-IO cohort, a TP53/ATM co-mutation was associated with better OS than sole mutation and both wild type groups, especially in pan-cancer (P=.241, NSCLC and P Conclusions Our findings suggest that patients with TP53/ATM co-mutation comprise a special subgroup of NSCLC patients and correlate with increasing TMB and responses to ICIs. It may have implications for potential predictive biomarker in guiding ICIs immunotherapy. Legal entity responsible for the study Jian Ji Pan. Funding National Natural Science Foundation of China (Grant No. U1705282). Disclosure All authors have declared no conflicts of interest.
Databáze: OpenAIRE