Hiroki Matsuda, Tomoki Makino, Shuichiro Hara, Shigeto Nakai, Takaomi Hagi, Kota Momose, Kotaro Yamashita, Takuro Saito, Koji Tanaka, Atsushi Takeno, Tsuyoshi Takahashi, Masaaki Motoori, Yukinori Kurokawa, Hidetoshi Eguchi, Yuichiro Doki
In real-world practice, GPS provides regimen-independent prognostic stratification, whereas PLR shows treatment-dependent prognostic relevance, supporting its potential utility for biomarker-guided and individualized treatment selection in ESCC.
BACKGROUND: Phase III trials have established the efficacy of immune-based therapies for unresectable advanced or recurrent esophageal squamous cell carcinoma (ESCC). However, real-world evidence comparing regimens and clinically applicable prognostic biomarkers remains limited.
METHODS: We retrospectively evaluated 245 patients with unresectable advanced/recurrent ESCC treated with first-line 5-fluorouracil plus cisplatin combined with nivolumab or pembrolizumab (CF + ICI; n = 114), first-line ipilimumab plus nivolumab (Ipi + Nivo; n = 46), or nivolumab monotherapy as second-line or later treatment (Nivo; n = 85). Efficacy, safety, and survival outcomes were assessed, focusing on inflammation-based nutritional indices and multivariate prognostic modelling.
RESULTS: The objective response rates were 56%, 53%, and 27%, and the median overall survival was 26, 73, and 13 months in the CF + ICI, Ipi + Nivo, and Nivo groups, respectively. No treatment-related deaths occurred. In multivariate analyses, Glasgow Prognostic Score (GPS) ≥ 2 independently predicted poor survival across all regimens. High platelet-to-lymphocyte ratio (PLR) was independently associated with poor survival only in chemotherapy-free ICI regimens (Ipi + Nivo and Nivo). A pooled model showed a significant interaction between treatment regimen and PLR (p = 0.047).
CONCLUSIONS: In real-world practice, GPS provides regimen-independent prognostic stratification, whereas PLR shows treatment-dependent prognostic relevance, supporting its potential utility for biomarker-guided and individualized treatment selection in ESCC.