Evidence map›Paper›PMID 42029729›Full record

ArticleJournal of gastroenterology2026

The vessels encapsulating tumor clusters (VETC) pattern is a negative predictor for first-line immune checkpoint inhibitors alone in unresectable hepatocellular carcinoma.

Chunyu Lin, Shuai Kang, Jing Zhang, Wenxuan Yu, Xiaoqun Wang, Xiangqi Huang, Qinghua Cao, Fang Liu

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Article in Journal of gastroenterology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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5 · Who and what money

Authors and funding

8 authors.

Chunyu Lin *Department of Liver Tumor Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Shuai Kang *Department of Liver Tumor Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Jing ZhangDepartment of Radiology, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Wenxuan YuDepartment of Liver Tumor Center, Nanfang Hospital, Southern Medical University, Guangzhou, China.
Xiaoqun WangDepartment of Digestive Tumors Multidisciplinary Treatment, Digestive Medicine Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China.
Xiangqi HuangDepartment of Pathology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Qinghua CaoDepartment of Pathology, The First Affiliated Hospital of Sun Yat-Sen University, Guangzhou, China.
Fang LiuDepartment of Digestive Tumors Multidisciplinary Treatment, Digestive Medicine Center, Guangdong Provincial Key Laboratory of Digestive Cancer Research, The Seventh Affiliated Hospital, Sun Yat-Sen University, Shenzhen, China. liufang@sysush.com.ORCID 0000-0002-5526-4535

Funding

National Natural Science Foundation of China 81972516
6 · The paper itself

Abstract

backgroundVessels encapsulating tumor clusters (VETC), an aggressive pathological pattern in hepatocellular carcinoma (HCC), is associated with unfavorable clinical outcomes. However, its role in first-line systemic therapies-immune checkpoint inhibitors alone (ICI-alone), tyrosine kinase inhibitors (TKIs) alone, or ICIs-based combinations (ICI-combo)-remains largely unexplored. This study aimed to compare therapy efficacy in unresectable HCC (uHCC) stratified by VETC.

methodsA retrospective analysis of 111 uHCC patients (ICI-alone, n = 34; TKIs, n = 24; ICI-combo, n = 53) used pooled data from 19 prospective studies (2017-2024). Objective response rate (ORR), investigator-assessed progression-free survival (PFS), overall survival (OS), and pathological characteristics were investigated. Tumor immune microenvironment was compared between the VETC and non-VETC by immunohistochemistry and transcriptome sequencing.

resultsWith a median follow-up of 47.9 months, ICI-combo cohort demonstrated significantly superior ORR (49.1% vs. 20.6% [ICI-alone] vs. 16.7% [TKIs], P = 0.003) and mPFS (8.57 vs. 2.10 vs. 3.97 months, P = 0.005), though no significant difference in OS was observed (median, 19.27 vs. 12.87 vs. 13.90 months, P = 0.070). VETC-positive patients receiving ICI-alone had markedly inferior outcomes (DCR, 9.1%; mPFS, 1.63 months; mOS, 3.47 months) compared to those receiving TKIs or ICI-combo (P < 0.05). Multivariate analysis confirmed VETC as an independent negative OS predictor in the ICI-alone cohort (HR = 3.42, P = 0.013). VETC tumors exhibited an immunosuppressive microenvironment (reduced CD8

conclusionsVETC, characterized by reduced immune infiltration, is a negative predictor of first-line ICIs alone in uHCC, guiding personalized treatment selection in uHCC.

Indexed as

Carcinoma, HepatocellularImmune Checkpoint InhibitorsLiver NeoplasmsAgedFemaleHumansMaleMiddle AgedProgression-Free SurvivalProtein Kinase InhibitorsRetrospective StudiesTreatment OutcomeTumor MicroenvironmentImmune Checkpoint InhibitorsProtein Kinase InhibitorsHepatocellular carcinomaImmune checkpoint inhibitorsVessels encapsulating tumor clusters

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.