Abstract 5349: Refining tumor mutational burden as a predictive biomarker for pembrolizumab: A real-world analysis of 1,899 Japanese patients.

Abstract Tumor mutational burden (TMB) is a key biomarker for predicting the response to immune checkpoint inhibitors (ICIs). However, its predictive accuracy in real-world clinical practice, particularly in Asian populations, remains inadequately evaluated. We addressed this issue by analyzing real-world data from 63,952 patients registered in the Center for Cancer Genomics and Advanced Therapeutics (C-CAT) database, which integrates genomic and clinical information from Japanese patients with various advanced solid tumors. We assessed the therapeutic efficacy of pembrolizumab in 1,899 patients who underwent one of three comprehensive genomic profiling tests: FoundationOne CDx, the OncoGuide NCC Oncopanel System, or the GenMine TOP Cancer Genome Profiling System. Based on the reported TMB values, patients were classified as TMB-high (≥10 mutations per megabase) or TMB-low (10 mutations per megabase). The objective response rate (ORR) among 946 TMB-high patients exceeded 30% and was significantly higher than that observed in 953 TMB-low patients (16.8%, P 0.001). Notably, patients with borderline TMB values (10 to less than 13 mutations per megabase) exhibited relatively modest responses (20.8%). The ORR improved when hotspot mutations were excluded from the TMB calculation, suggesting that this adjustment enhances the predictive accuracy of TMB. These findings support the clinical utility of TMB as a biomarker for predicting ICI response in routine oncology practice. In particular, excluding hotspot mutations from TMB calculations may improve response prediction in patients whose TMB values are near the threshold. Citation Format: Tomoyo Yasuda, Mio Yumura, Azusa Hamasaki, Tongyi Fei, Takashi Kubo, Hitoshi Ichikawa, Takashi Kohno, Kuniko Sunami. Refining tumor mutational burden as a predictive biomarker for pembrolizumab: A real-world analysis of 1,899 Japanese patients abstract. In: Proceedings of the American Association for Cancer Research Annual Meeting 2026; Part 1 (Regular Abstracts); 2026 Apr 17-22; San Diego, CA. Philadelphia (PA): AACR; Cancer Res 2026;86(7 Suppl):Abstract nr 5349.