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The Oncologist
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The Oncologist
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The Oncologist
Article . 2021
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NFE2L2/KEAP1 Mutations Correlate with Higher Tumor Mutational Burden Value/PD-L1 Expression and Potentiate Improved Clinical Outcome with Immunotherapy

Authors: Xian, Xu; Yang, Yang; Xiaoyan, Liu; Na, Cao; Peng, Zhang; Songhui, Zhao; Donglin, Chen; +7 Authors

NFE2L2/KEAP1 Mutations Correlate with Higher Tumor Mutational Burden Value/PD-L1 Expression and Potentiate Improved Clinical Outcome with Immunotherapy

Abstract

Abstract Background Abnormalities in the KEPA1-NRF2 pathway have a role in cancer progression, metastasis, and resistance to chemo- and radiotherapies. Persistent activation of NRF2 associates with poor prognosis across different cancer types. However, the beneficial therapeutic strategy to harness this pathway in cancer remains unclear. This study aimed to investigate the clinical outcome with immunotherapy in NFE2L2/KEAP1 mutant population. Materials and Methods We investigated the correlation between NFE2L2/KEAP1 mutations and tumor mutational burden (TMB) and programmed death-ligand 1 (PD-L1) expression status to identify the therapeutic vulnerability. For this purpose, relevance analysis with TMB value was performed in 9,040 patients with cancer, and relevance analysis with PD-L1 expression was performed in 3,457 patients. The Memorial Sloan Kettering Cancer Center (MSKCC) database and real-world evidence were used to assess the immunotherapy response in NFE2L2/KEAP1 mutant subsets. Results NFE2L2/KEAP1 mutations occurred in various cancers, and the highest mutation incidences occurred in lung squamous cell carcinoma (LUSC) at 19.16% (NFE2L2) and 10.31% (KEAP1). We confirmed that higher TMB value and PD-L1 expression were associated with NFE2L2/KEAP1 mutations compared with wild-type, especially in non-small lung cancer. MSKCC database analysis showed the improved survival of patients with NFE2L2/KEAP1 mutant with immunotherapy compared with other treatments (median overall survival 22.52 VS 12.89, p = .0034). Real-world evidence further confirmed the efficacy of immunotherapy in the mutant population. Conclusion Our study revealed that patients with NFE2L2/KEAP1 mutant could achieve improved outcomes from immunotherapy than the other treatments. These findings may broaden the application of immune checkpoint blockade to patients harboring NFE2L2/KEAP1 mutations. Implications for Practice NFE2L2/KEAP1 alterations occur frequently in multiple cancer types and are associated with poor prognosis; however, the efficacious strategy to inhibit this pathway in cancer is poorly understood. This study was designed to analyze the mutational characteristics of NFE2L2/KEAP1 alterations in 9,243 Chinese patients. The highest mutation incidences occurred in lung squamous cell carcinoma at 19.16% (NFE2L2) and 10.31% (KEAP1). Relevance analysis showed the NFE2L2/KEAP1 mutant subsets were associated with higher tumor mutational burden value and programmed death-ligand 1 expression. Clinical data further confirmed NFE2L2/KEAP1 mutations correlate with improved outcome with immunotherapy. These findings suggest the clinical application of immunotherapy in the NFE2L2/KEAP1 mutant population.

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Keywords

Kelch-Like ECH-Associated Protein 1, Lung Neoplasms, NF-E2-Related Factor 2, Mutation, Humans, Immunotherapy, B7-H1 Antigen

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
52
Top 1%
Top 10%
Top 1%
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