The immune response‐related mutational signatures and driver genes in non‐small‐cell lung cancer
Immune checkpoint blockade (ICB) therapy has achieved remarkable clinical benefit in non‐small‐cell lung cancer (NSCLC), but our understanding of biomarkers that predict the response to ICB remain obscure. Here we integrated somatic mutational profile and clinicopathologic information from 113 NSCLC...
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Published in | Cancer science Vol. 110; no. 8; pp. 2348 - 2356 |
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Main Authors | , , , , , |
Format | Journal Article |
Language | English |
Published |
England
John Wiley & Sons, Inc
01.08.2019
John Wiley and Sons Inc |
Subjects | |
Online Access | Get full text |
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Summary: | Immune checkpoint blockade (ICB) therapy has achieved remarkable clinical benefit in non‐small‐cell lung cancer (NSCLC), but our understanding of biomarkers that predict the response to ICB remain obscure. Here we integrated somatic mutational profile and clinicopathologic information from 113 NSCLC patients treated by ICB (CTLA‐4/PD‐1). High tumor mutation burden (TMB) and neoantigen burden were identified significantly associated with improved efficacy in NSCLC immunotherapy. Furthermore, we identified apolipoprotein B mRNA editing enzyme, catalytic polypeptide‐like (APOBEC) mutational signature was markedly associated with responding of ICB therapy (log‐rank test, P = .001; odds ratio (OR), 0.18 [95% CI, 0.06‐0.50], P < .001). The association with progression‐free survival remained statistically significant after controlling for age, sex, histological type, smoking, PD‐L1 expression, hypermutation, smoking signature and mismatch repair (MMR) (HR, 0.30 [95% CI, 0.12‐0.75], P = .010). Combined high TMB with APOBEC signature preferably predict immunotherapy responders in NSCLC cohort. The CIBERSORT algorithm revealed that high APOBEC mutational activity samples were associated with increased infiltration of CD4 memory activated T cells, CD8+ T cells and natural killer (NK) cells, but reduced infiltration of regulatory T cells. Besides, individual genes mutation of IFNGR1 or VTCN1 were only found in responders; however, the PTEN mutation was only found in non‐responders (Fisher's exact test, all P < .05). These findings may be applicable for guiding immunotherapy for patients with NSCLC.
Multivariate analysis of APOBEC mutational signature is strongly associated with objective immune response and progression‐free survival in immunotherapy, but not identified in conventional chemotherapy of the Cancer Genome Atlas (TCGA) samples, suggesting the specific predictive effects of ICB treatment. High APOBEC mutational activity samples were enriched for immune checkpoint gene markers and tumor immune lymphocyte infiltration makers. Combined TMB with an APOBEC signature may preferably predict NSCLC immunotherapy responders. Individual genes mutation of IFNGR1 or VTCN1 were only found in responders; however, PTEN was only noticed in non‐responders. |
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Bibliography: | Funding information Science and technology planning project of Binzhou Medical college, (Grant/Award Number: ‘BY2017KJ02’) Top talent training program of the first affiliated hospital of PLA Army Medical University, (Grant/Award Number: ‘SWH2018BJKJ‐12’) National Natural Science Foundation of China, (Grant/Award Number: ‘81803215’). Chen and Chong contributed equally to this work. |
ISSN: | 1347-9032 1349-7006 |
DOI: | 10.1111/cas.14113 |