Biomarkers for predicting the efficacy of immune checkpoint inhibitors

Wang, Chengji; Wang, He-nan; Wang, Liang

doi:10.7150/jca.65012

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International Journal of Biological Sciences

International Journal of Medical Sciences

Theranostics

Journal of Genomics

Nanotheranostics

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J Cancer 2022; 13(2):481-495. doi:10.7150/jca.65012 This issue Cite

Review

Biomarkers for predicting the efficacy of immune checkpoint inhibitors

Chengji Wang^1#, He-nan Wang^2#, Liang Wang^2,3✉

1. Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
2. Department of Hematology, Beijing Tongren Hospital, Capital Medical University, Beijing 100730, China.
3. Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, Beihang University & Capital Medical University, Beijing Tongren Hospital, Beijing 100730, China.
#These authors contributed equally to this work.

Citation:

Wang C, Wang Hn, Wang L. Biomarkers for predicting the efficacy of immune checkpoint inhibitors. J Cancer 2022; 13(2):481-495. doi:10.7150/jca.65012. https://www.jcancer.org/v13p0481.htm

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Abstract

Immune checkpoint blockade has vastly changed the landscape of cancer treatment and showed a promising prognosis for cancer patients. However, there is still a large portion of patients who have no response to this therapy. Therefore, it's essential to investigate biomarkers to predict the efficacy of immune checkpoint inhibitors. This article summarizes the predictive value of established biomarkers, including programmed cell death ligand 1(PD-L1) expression level, tumor mutational burden, tumor-infiltrating lymphocytes, and mismatch repair deficiency. It also addresses the predictive value of tumorous mutations, circulation factors, immune-related factors, and gut microbiome with immunotherapy treatment. Furthermore, some of the emerging novel biomarkers, and potential markers for hyper progressive disease are discussed, which should be validated in clinical trials in the future.

Keywords: Predictive biomarkers, PD-L1 expression, circulation biomarkers, immunotherapy, hyper progressive disease

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APA

Wang, C., Wang, H.n., Wang, L. (2022). Biomarkers for predicting the efficacy of immune checkpoint inhibitors. Journal of Cancer, 13(2), 481-495. https://doi.org/10.7150/jca.65012.

ACS

Wang, C.; Wang, H.n.; Wang, L. Biomarkers for predicting the efficacy of immune checkpoint inhibitors. J. Cancer 2022, 13 (2), 481-495. DOI: 10.7150/jca.65012.

NLM

Wang C, Wang Hn, Wang L. Biomarkers for predicting the efficacy of immune checkpoint inhibitors. J Cancer 2022; 13(2):481-495. doi:10.7150/jca.65012. https://www.jcancer.org/v13p0481.htm

CSE

Wang C, Wang Hn, Wang L. 2022. Biomarkers for predicting the efficacy of immune checkpoint inhibitors. J Cancer. 13(2):481-495.

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