Although immune checkpoint inhibitors (ICIs) have greatly improved cancer treatment, the accuracy of predictive biomarkers for ICI outcomes, such as PD-L1, TMB (tumor mutation burden) or MMR (mismatch repair) deficiency, have not been satisfactory. ARID family members are essential for maintaining the basic process of genomic stability and may serve as novel biomarkers for ICI therapy. A total of 1660 cancer patients who received ICI therapy were included in this pan-cancer analysis. The basic information and TMB values of each patient were collected. Survival analysis based on the Kaplan-Meier (KM) method was performed to explore the relationships between mutations in ARID family members and prognosis in pan-cancer as well as cancer subtypes. Genetic alterations in ARID1A (12%), ARID1B (5%), ARID2 (6%) and ARID5B (2.6%) were identified in multiple cancer types. Patients harboring mutated ARID family members benefited more from ICI therapy (P = .0003). Mutated ARID1A (P = .01), ARID1B (P = .0097) and ARID2 (P = .0054) all serve as compelling biomarkers in predicting the prognosis of ICI treatment. In addition, members of the ARID family were found to be strongly related to the abundance of CD4 + T cells and CD8 + T cells, the expression of PD-L1 and the TMB value in various cancers. Specifically, members of the ARID family could serve as novel biomarkers in multiple malignancies, especially gastrointestinal cancers. ARID family members serve as novel biomarkers for ICI therapy in malignancies. Testing the genomic status of ARID family members could help identify the definite subpopulation that benefits most from ICI treatment.Abbreviations: AT-rich interactive domain (ARID)Switch/sucrose nonfermenting (SWI/SNF)Non-small cell lung cancer (NSCLC)Immune checkpoint inhibitors (ICIs)Tumor microenvironment (TME)Programmed death-ligand 1 (PD-L1)Tumor mutational burden (TMB).

Chun Yan

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