Abstract
Glutamate-NMDAR receptors (GRINs) have been reported to influence cancer immunogenicity; however, the relationship between GRIN alterations and the response to immune checkpoint inhibitors (ICIs) has not been determined. This study combined clinical characteristics and mutational profiles from multiple cohorts to form a discovery cohort (n = 901). The aim of this study was to investigate the correlation between the mutation status of the GRIN gene and the response to ICI therapy. Additionally, an independent ICI-treated cohort from the Memorial Sloan Kettering Cancer Center (MSKCC, N = 1513) was used for validation. Furthermore, this study explored the associations between GRIN2A mutations and intrinsic and extrinsic immunity using multiomics analysis. In the discovery cohort, patients with GRIN2A-MUTs had improved clinical outcomes, as indicated by a higher objective response rate (ORR: 36.8% vs 25.8%, P = 0.020), durable clinical benefit (DCB: 55.2% vs 38.7%, P = 0.005), prolonged progression-free survival (PFS: HR = 0.65; 95% CI 0.49 to 0.87; P = 0.003), and increased overall survival (OS: HR = 0.67; 95% CI 0.50 to 0.89; P = 0.006). Similar results were observed in the validation cohort, in which GRIN2A-MUT patients exhibited a significant improvement in overall survival (HR = 0.66; 95% CI = 0.49 to 0.88; P = 0.005; adjusted P = 0.045). Moreover, patients with GRIN2A-MUTs exhibited an increase in tumor mutational burden, high expression of costimulatory molecules, increased activity of antigen-processing machinery, and infiltration of various immune cells. Additionally, gene sets associated with cell cycle regulation and the interferon response were enriched in GRIN2A-mutated tumors. In conclusion, GRIN2A mutation is a novel biomarker associated with a favorable response to ICIs in multiple cancers.
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Data availability
The clinicopathological data of patients in the cohorts or patients treated with immune checkpoint agents are described in the Materials and Methods and Supporting Data. The resources, tools and codes used in our analyses are described in the “Methods” section. Other data that support the findings of this study are available from the corresponding author upon reasonable request.
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Acknowledgements
The authors would like to thank Drs. Xundong Zhang, and Xing-jie Hao (School of Public Health, Tongji Medical College, HUST) for their support in the bioinformatics analyses of this study.
Funding
This work was supported by the National Nature Science Foundation of China (No. 82273441 and 81874065), the National Basic Research Program of China (2020YFA0710700), the Knowledge Innovation Program of Wuhan-Shuguang Project (No. 2022020801020456), the Tongji Hospital (HUST) Foundation for Excellent Young Scientist (No. 2020YQ05), and the first level of the Public Health Youth Top Talent Project of Hubei Province (No. 2022SCZ051).
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Study concept and design: ZD, WZ, and BZ. Acquisition, analysis, interpretation of the data, critical revision of the manuscript: all the authors. Drafting of the manuscript: GL, TL, GJ and ZD. Study supervision: BZ and WZ.
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ZD served as a speaker and consultant for Bayer, Eisai, Roche, MSD, Astra-Zeneca, Innovent, Hengrui, and BeiGene. The remaining authors have nothing to disclose.
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Li, Gx., Chang, Rz., Liu, Tt. et al. GRIN2A mutation is a novel indicator of stratifying beneficiaries of immune checkpoint inhibitors in multiple cancers. Cancer Gene Ther 31, 586–598 (2024). https://doi.org/10.1038/s41417-024-00730-6
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DOI: https://doi.org/10.1038/s41417-024-00730-6