Lymphocyte–Monocyte Ratio Predicts the Survival in Patients With HCC Treated With Durvalumab Plus Tremelimumab

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Authors: Tomomitsu Matono, TOSHIFUMI TADA, Atsushi Hiraoka, Masashi Hirooka, Kazuya Kariyama, Joji Tani, Masanori Atsukawa, Koichi Takaguchi, Ei Itobayashi, Takashi Nishimura, Kunihiko Tsuji, Toru Ishikawa
+46 more Kazuto Tajiri, Hironori Tanaka, Hidenori Toyoda, Chikara Ogawa, Takeshi Hatanaka, Satoru Kakizaki, Kazuhito Kawata, Atsushi Naganuma, Hisashi Kosaka, Hidekatsu Kuroda, Yutaka Yata, Hiroki Nishikawa, Michitaka Imai, Tomoko Aoki, Hironori Ochi, Hideyuki Tamai, Shohei Komatsu, Takanori Matsuura, Yoshihide Ueda, S KIM, Hideko Ohama, Fujimasa Tada, Shinichiro Nakamura, Yoshiko Nakamura, Osamu Yoshida, Kazuhiro Nouso, Asahiro Morishita, Norio Itokawa, Tomomi Okubo, Taeang Arai, Akemi Tsutsui, Takuya Nagano, Shinya Fukunishi, Kazunari Tanaka, Yuichi Koshiyama, Yuki Kanayama, Hidenao Noritake, Hirayuki Enomoto, Kosuke Matsui, Masaki Kaibori, Jumpei Okamura, Takumi Fukumoto, Y. Hiasa, Masatoshi Kudo, Takashi Kumada, the RELPEC Group and HCC 48 Group
Cited by: 2
References: 45

Abstract

BACKGROUND AND AIMS: This multicenter retrospective study in Japan aimed to investigate the prognostic significance of lymphocyte-to-monocyte ratio (LMR) in patients with unresectable hepatocellular carcinoma (HCC) treated with durvalumab plus tremelimumab (Dur/Tre). METHODS: A total of 377 patients with HCC and treated with Dur/Tre across 30 institutions in Japan were included in this multicenter study. Time-dependent receiver operating characteristic (ROC) analysis was performed to determine the optimal LMR cut-off value. Hazard ratio (HR) spline curve analysis was used to identify the optimal LMR range for predicting progression-free survival (PFS) and overall survival (OS). RESULTS: Time-dependent ROC analysis identified an optimal LMR cut-off value of 2.52 for predicting median OS. Multivariate analysis demonstrated that an LMR of ≥ 2.52 was independently associated with superior PFS (HR: 0.777) and OS (HR: 0.657). The median PFS was 2.6 months in patients with an LMR of < 2.52, compared with 3.5 months in those with an LMR of ≥ 2.52 (p = 0.022). The median OS was 12.8 months in patients with an LMR of < 2.52, compared with 23.4 months in those with an LMR of ≥ 2.52 (p < 0.001). The disease control rate was significantly higher in the high LMR group (p = 0.032). The HR spline curve analysis revealed that an LMR range of approximately 1.8-2.6 represents an optimal cut-off for predicting both PFS and OS. CONCLUSIONS: LMR is a readily accessible prognostic biomarker for both PFS and OS in patients with unresectable HCC treated with Dur/Tre, and may serve as a practical tool for risk stratification in clinical practice.

Fields of Study & Subjects

Inflammatory Biomarkers in Disease Prognosis Cancer Immunotherapy and Biomarkers Immune cells in cancer

Publication details

Journal / source
Liver International
Publisher
Wiley
Volume
46
Issue
4
Pages
e70570–e70570
Publication date
26 February 2026
Language
EN