Carbonic anhydrase 9 as a circulating biomarker and therapeutic target in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab

BACKGROUND: Atezolizumab plus bevacizumab (Atez/Bev) has become the first-line therapy for unresectable hepatocellular carcinoma (HCC). However, reliable biomarkers to predict therapeutic response remain lacking. METHODS: We conducted a high-throughput plasma proteomic screen using the Olink proximity extension assay to identify predictive biomarkers in 78 patients with unresectable HCC treated with Atez/Bev. Validation was performed in an independent cohort of 89 patients. Tumorous expression of the lead candidate, carbonic anhydrase 9 (CA9), was examined using transcriptomic and single-cell analyses. Functional studies were performed in a syngeneic mouse model using Car9-overexpressing hepatoma cells, treated with anti-programmed death-ligand 1/vascular endothelial growth factor antibodies, with or without a CA9 inhibitor. RESULTS: High plasma CA9 levels were significantly associated with poor objective response rate, disease control rate, progression-free survival, and overall survival in both discovery and validation cohorts. Multivariable analysis confirmed CA9 as an independent predictor of treatment resistance and poor outcomes. Tumorous CA9 expression correlated strongly with circulating CA9 and was restricted to malignant cells. In vivo, tumors overexpressing Car9 showed resistance to Atez/Bev therapy, characterized by reduced CD8+T cell infiltration, suppressed cytotoxic gene expression, enrichment of M2-like macrophages, and pro-angiogenic signaling. The addition of a CA9 inhibitor reversed resistance and restored antitumor efficacy of Atez/Bev in this model. CONCLUSIONS: Tumor-derived circulating CA9 is a predictive biomarker and functional driver of resistance to Atez/Bev therapy in HCC. Targeting CA9 may enhance therapeutic response.

Authors

Institutions

Publication Details

Journal
Journal for ImmunoTherapy of Cancer
Published
2026-04-01
DOI
https://doi.org/10.1136/jitc-2025-013384
Primary Topic
Enzyme function and inhibition
Type
article
Field-Weighted Citation Impact
0.00

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Carbonic anhydrase 9 as a circulating biomarker and therapeutic target in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab

Kazuki Maesaka, Ryotaro Sakamori, Takahiro Kodama, Seiichi Tawara et al.
Journal for ImmunoTherapy of Cancer
Enzyme function and inhibition
article

Carbonic anhydrase 9 as a circulating biomarker and therapeutic target in patients with hepatocellular carcinoma treated with atezolizumab plus bevacizumab

Kazuki Maesaka, Ryotaro Sakamori, Takahiro Kodama, Seiichi Tawara, Kunimaro Furuta, Kengo Matsumoto, Yoshinobu Saito, Takayuki Yakushijin, Kazuhiro Murai, Yuki Tahata, Hisashi Ishida, Atsushi Hosui, Naruyasu Kakita, Hayato Hikita, Tasuku Nakabori, Machiko Kai, Masanori Miyazaki, Yasutoshi Nozaki, T. Tatsumi, Changhoon Yoo, Akira Nishio, Akinobu Taketomi, Nobuyuki Tatsumi, Tetsuo Takehara, Moto Fukai, Satoshi Tanaka, Kazuyoshi Ohkawa
article en

Abstract

BACKGROUND: Atezolizumab plus bevacizumab (Atez/Bev) has become the first-line therapy for unresectable hepatocellular carcinoma (HCC). However, reliable biomarkers to predict therapeutic response remain lacking. METHODS: We conducted a high-throughput plasma proteomic screen using the Olink proximity extension assay to identify predictive biomarkers in 78 patients with unresectable HCC treated with Atez/Bev. Validation was performed in an independent cohort of 89 patients. Tumorous expression of the lead candidate, carbonic anhydrase 9 (CA9), was examined using transcriptomic and single-cell analyses. Functional studies were performed in a syngeneic mouse model using Car9-overexpressing hepatoma cells, treated with anti-programmed death-ligand 1/vascular endothelial growth factor antibodies, with or without a CA9 inhibitor. RESULTS: High plasma CA9 levels were significantly associated with poor objective response rate, disease control rate, progression-free survival, and overall survival in both discovery and validation cohorts. Multivariable analysis confirmed CA9 as an independent predictor of treatment resistance and poor outcomes. Tumorous CA9 expression correlated strongly with circulating CA9 and was restricted to malignant cells. In vivo, tumors overexpressing Car9 showed resistance to Atez/Bev therapy, characterized by reduced CD8+T cell infiltration, suppressed cytotoxic gene expression, enrichment of M2-like macrophages, and pro-angiogenic signaling. The addition of a CA9 inhibitor reversed resistance and restored antitumor efficacy of Atez/Bev in this model. CONCLUSIONS: Tumor-derived circulating CA9 is a predictive biomarker and functional driver of resistance to Atez/Bev therapy in HCC. Targeting CA9 may enhance therapeutic response.

Journal for ImmunoTherapy of CancerVol. 14(4)
Osaka Gakuin University (JP), Ulsan College (KR), Hokkaido University (JP), Osaka Prefectural Medical Center (JP), University of Ulsan (KR), Toyonaka Municipal Hospital (JP), Osaka National Hospital (JP), Osaka City General Hospital (JP), Ikeda Municipal Hospital (JP), Osaka Police Hospital (JP), Osaka Rosai Hospital (JP), Kansai Rosai Hospital (JP), Osaka Hospital (JP), Japan Community Healthcare Organization (JP), Osaka International Cancer Institute (JP), Takarazuka City Hospital (JP), The University of Osaka (JP)
AstraZeneca, Japan Agency for Medical Research and Development, Eisai, Chugai Pharmaceutical
Openalex Percentile: Top 25%
Enzyme function and inhibition
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.