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Cancer mutation profiles predict ICIs efficacy in patients with non-small cell lung cancer

Published online by Cambridge University Press:  04 April 2022

Liping Zhu
Affiliation:
Department of Medical Oncology, Shouguang Hospital of Traditional Chinese Medicine, Shouguang, Shandong Province, People's Republic of China
Dafu Ye
Affiliation:
Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, People's Republic of China
Tianyu Lei
Affiliation:
Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, People's Republic of China
Jie Wu
Affiliation:
Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, People's Republic of China
Wei Wang*
Affiliation:
Department of Thoracic Surgery, Renmin Hospital of Wuhan University, Wuhan, 430060, People's Republic of China
Bin Xu*
Affiliation:
Cancer Center, Renmin Hospital of Wuhan University, Wuhan, 430060, People's Republic of China
*
Author for correspondence: Bin Xu, E-mail: xubin_oncology@whu.edu.cn, Wei Wang, wangwei1018@whu.edu.cn
Author for correspondence: Bin Xu, E-mail: xubin_oncology@whu.edu.cn, Wei Wang, wangwei1018@whu.edu.cn

Abstract

Although immune checkpoint inhibitors (ICIs) have produced remarkable responses in non-small cell lung cancer (NSCLC) patients, receivers still have a relatively low response rate. Initial response assessment by conventional imaging and evaluation criteria is often unable to identify whether patients can achieve durable clinical benefit from ICIs. Overall, there are sparse effective biomarkers identified to screen NSCLC patients responding to this therapy. A lot of studies have reported that patients with specific gene mutations may benefit from or resist to immunotherapy. However, the single gene mutation may be not effective enough to predict the benefit from immunotherapy for patients. With the advancement in sequencing technology, further studies indicate that many mutations often co-occur and suggest a drastic transformation of tumour microenvironment phenotype. Moreover, co-mutation events have been reported to synergise to activate or suppress signalling pathways of anti-tumour immune response, which also indicates a potential target for combining intervention. Thus, the different mutation profile (especially co-mutation) of patients may be an important concern for predicting or promoting the efficacy of ICIs. However, there is a lack of comprehensive knowledge of this field until now. Therefore, in this study, we reviewed and elaborated the value of cancer mutation profile in predicting the efficacy of immunotherapy and analysed the underlying mechanisms, to provide an alternative way for screening dominant groups, and thereby, optimising individualised therapy for NSCLC patients.

Type
Review
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press

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Footnotes

*

These authors contributed equally.

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Cancer mutation profiles predict ICIs efficacy in patients with non-small cell lung cancer
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