Neutrophil‐to‐lymphocyte ratio at the start of the second course of durvalumab plus tremelimumab therapy predicts therapeutic efficacy in patients with advanced hepatocellular carcinoma: A multicenter analysis
Year: 2025
Type: article
Study design: Observational Study
Abstract: BACKGROUND AND AIMS: Durvalumab plus tremelimumab (Dur/Tre) therapy is expected to have good therapeutic efficacy for patients with unresectable hepatocellular carcinoma (u-HCC). We previously reported that the neutrophil-to-lymphocyte ratio (NLR) during atezolizumab plus bevacizumab therapy in u-HCC patients was a useful marker for predicting the therapeutic response. Therefore, we investigated whether the NLR during Dur/Tre therapy could predict treatment outcomes in patients with u-HCC. DESIGN: The present study included 64 u-HCC patients treated with Dur/Tre and evaluated for their initial response by dynamic computed tomography or magnetic resonance imaging at least once until December 2024. Alpha-fetoprotein (AFP) and des-gamma-carboxyprothrombin (DCP) ratios were defined as follows: the pretreatment levels of AFP and DCP were set to 1, and the AFP and DCP ratios to pretreatment were calculated at the start of the second course of Dur/Tre therapy. RESULTS: Of the 64 HCC patients, 34 patients (53%) achieved a disease control rate (non-PD) at the initial evaluation. The NLR at the start of the second course (NLR-2c) tended to be lower in patients with non-PD than progressive disease (p = 0.133), and the optimal cutoff value was 5.75. Patients with NLR-2c ≥ 5.75 had a shorter progression-free survival (PFS) than those with NLR-2c < 5.75 (median: 1.7 vs. 5.5 months, p = 0.002). Multivariate analysis showed that NLR-2c ≥ 5.75 (HR 4.66; p < 0.001) and AFP ratio ≥ 0.933 (HR 4.32; p = 0.004) were significantly associated with poor PFS. CONCLUSIONS: The NLR-2c value is useful for predicting PFS in u-HCC patients treated with Dur/Tre therapy.
Source: Hepatology Research
DOI: 10.1111/hepr.14189
Authors: Takanori Suzuki, Kentaro Matsuura, Satoshi Sobue, Daisuke Kato, Katsumi Hayashi, Hiromu Kondo, Kaiki Anbe, Tsutomu Mizoshita, Kohei Okayama, Fumihiro Okumura, Yoshihide Kimura, Atsushi Ozasa, Hiroki Inada, Takayuki Tokunaga, Satoshi Narahara, Hayato Kawamura, Kei Fujiwara, Shunsuke Nojiri, Hiromi Kataoka, Yasuhito Tanaka
Language: English
Subfield: Oncology
Field: Medicine
Domain: Health Sciences
Open Access status: hybrid
Estimated APC paid: $3,400
OpenAlex ID: W4408977708
