e14682 Background: Immune checkpoint inhibitors (ICIs) often result in various immune-related adverse events (irAEs), which limit their therapeutic application and pose challenges to clinical decision-making. Among these irAEs, the incidence rate of ICI-related acute kidney injury (ICI-AKI) is on the rise. Understanding the genetic predisposition to ICI-AKI can inform personalized treatment plans, thereby minimizing risks and optimizing outcomes. This study aims to interrogate risk loci for AKI patients to gain insights into ICI-related AKI in cancer patients and to support the design of more personalized cancer therapies. Methods: This study comprehensively integrates meta-analysis, replication genome-wide association study (GWAS), fine-mapping, and mendelian randomization (MR) to explore potential genetic variants related with ICI-AKI. We first conducted a meta-analysis of 6 ICI pharmacogenomics studies, aggregating effect sizes from these studies using both fixed-effect and random-effects models to address heterogeneity and identified 186 significant genotypes. Subsequently, a GWAS was carried out over the 186 candidate genotypes in an independent cohort from the NIH All of Us program (N = 230,013) using logistic regression, identifying14,773 patients who developed AKI. To identify causal variants, we implemented fine-mapping techniques to further refine our genotype selection. Results: Our study identified genetic variants associated with an increased risk of AKI. Among these, the variant with the strongest association was located at the cytotoxic T lymphocyte antigen 4 (CTLA-4) gene locus, rs3087243 (chr2: 203874196, G>A,T). This genotype exhibited a significant inverse relationship with AKI risk (beta = -8.19e-2, P = 2e-11), suggesting that reduced activity of the CTLA-4 gene may be linked to an elevated risk of developing AKI. Our findings indicate that cancer patients with this genotype may have a lower risk of ICI-related AKI after immunotherapy. In our future study, we will continue investigating significant SNPs including rs3087243 in cancer patients for their ICI-AKI risk. Conclusions: We identified an AKI-tolerant genotype, rs3087243. Patients with this genotype may be safter from developing ICI-related AKI after immunotherapy treatment. This work also highlights the research potential of All of Us clinicogenomics data.
No takes yet. Share an insight, caveat, or question.
Wang et al. (2024) studied this question.
Synapse has enriched 5 closely related papers on similar clinical questions. Consider them for comparative context: