Background and Aims: Immune checkpoint inhibitors (ICIs) have significantly improved survival rates for patients with metastatic melanoma. However, these treatments can lead to immune-related adverse events (irAEs), including hepatitis. This exploratory study sought to identify tumour single-nucleotide polymorphisms (SNPs) associated with the risk of ICI-induced hepatitis in melanoma patients. Methods: The study cohort comprised 69 patients with malignant melanoma treated with ICIs at several hospitals in Madrid, Spain. DNA was extracted from formalin-fixed paraffin-embedded tumour biopsies and SNP genotyping was conducted using a MassARRAY platform. Results: Significant associations were found between hepatitis risk and 4 of the 20 SNPs examined. A possible risk effect was shown for the variant GABRP SNP alleles rs11743438 and rs11743735. Among patients homozygous for these variant alleles (v/v), significantly higher proportions developed hepatitis, 75% and 71.4%, respectively, compared to 32.8% and 21.4, respectively, not developing hepatitis (p = 0.046; p = 0.013). However, in the same genotype group comparisons, the RGMA SNP rs4778080 seemed to have a protective effect, as 100% of patients who developed hepatitis were not in the v/v group for this allele (p = 0.043). Additionally, in genotype group comparisons wt/wt versus wt/v + v/v, the PACRG SNP rs55733913 was also associated with a higher risk of ICI-induced hepatitis: 66.7% of patients with hepatitis versus 22.8% without hepatitis in genotype group wt/v + v/v (p = 0.041). Conclusions: This exploratory study identifies candidate tumour SNPs as possible biomarkers to predict the risk of ICI-induced hepatitis, warranting their validation in larger patient cohorts.
11 August 2026 in Journal of Cancer Research and Clinical Oncology
Purpose Immune checkpoint inhibitors (ICIs) have revolutionized advanced urothelial carcinoma (UC) treatment, yet efficacy is limited by immune-related adverse events (irAEs) necessitating treatment termination. Identifying biomarkers to predict irAE susceptibility is a critical unmet need for patient management. This exploratory study sought to identify tumor microRNA (miRNA) expression signatures associated with irAE risk in UC patients treated with ICIs. Methods We analyzed a retrospective cohort of 108 UC patients treated with ICI therapy (PD-1 and PD-L1 blockade). Baseline tumor miRNA expression was quantified via RT-qPCR. Statistical analysis was performed to identify associations between baseline miRNA expression levels and the subsequent development of specific irAEs. Results The irAE prevalence was high, affecting approximately one-third of the cohort. Low baseline tumor expression of miR-34c-5p and miR-493-5p was significantly associated with an increased risk of developing pneumonitis (p = 0.037) and asthenia (p = 0.027). Furthermore, borderline associations were observed for miR-146a-5p (hepatitis), miR-222-3p (pneumonitis) and miR-641 (anemia), supporting their roles in regulating immune homeostasis. Conclusion In this exploratory study, tumor miRNA expression profiles, particularly the low baseline expression of miR-34c-5p and miR-493-5p, suggest a possible relationship with higher risk of developing toxicity during ICI treatments. Although further studies are needed to validate the utility of tumor miRNAs expression as biomarkers of ICI-induced toxicity, these preliminary results remark their possible utility as biomarkers in the clinical management of adverse effects from ICI treatment in UC patients.