Evidence map›Paper›PMID 42251311›Full record

ArticleBMC cancer2026

An integrated pathway mutation and clinical model predicts survival in unresectable HCC with hepatic arterial infusion chemotherapy combined with lenvatinib and tislelizumab.

Shuangyan Tang, Hongjie Cai, Zhiqiang Wu, Shuqin Huang, Lihua Zhao, Lijia Wu, Longlong Gong, Wenbo Guo

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Article in BMC cancer, 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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4 · The record

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5 · Who and what money

Authors and funding

8 authors.

Shuangyan Tang *The Eighth Affiliated Hospital of Sun Yat-sen University, No. 3025, Shennan Zhong Road, Futian District, Shenzhen, China.
Hongjie Cai *Department of Interventional Radiology, the First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhongshan Second Road, Yuexiu District, Guangzhou, China.
Zhiqiang Wu *Department of Interventional Radiology, the First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhongshan Second Road, Yuexiu District, Guangzhou, China.
Shuqin HuangDepartment of Interventional Radiology, the First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhongshan Second Road, Yuexiu District, Guangzhou, China.
Lihua ZhaoMedical Department, Genecast Biotechnology Co., Ltd, 88 Danshan Road, Xishan District, Wuxi, China.
Lijia WuMedical Department, Genecast Biotechnology Co., Ltd, 88 Danshan Road, Xishan District, Wuxi, China.
Longlong GongMedical Department, Genecast Biotechnology Co., Ltd, 88 Danshan Road, Xishan District, Wuxi, China. gonglongl@scnu.edu.cn.
Wenbo GuoDepartment of Interventional Radiology, the First Affiliated Hospital of Sun Yat-Sen University, No.58 Zhongshan Second Road, Yuexiu District, Guangzhou, China. guowenbo@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundTriple combination therapy consisting of hepatic arterial infusion chemotherapy (HAIC), lenvatinib, and tislelizumab has shown encouraging clinical efficacy in patients with advanced hepatocellular carcinoma (HCC). However, robust prognostic models to predict treatment outcomes remain lacking.

methodsA total of 83 patients with unresectable HCC receiving HAIC combined with lenvatinib and tislelizumab were enrolled to develop a prognostic prediction model, which was subsequently validated in an independent cohort of 26 patients. Underlying mechanisms were investigated using targeted exome sequencing and RNA sequencing.

resultsWe assessed the cumulative impact of gene mutations and identified three signaling pathways associated with progression-free survival (PFS), namely the Hedgehog, ErbB, and focal adhesion pathways, in patients undergoing triple combination therapy. An integrated prognostic model incorporating these PFS-related pathways and key clinical risk factors-aspartate aminotransferase, Child-Pugh class, and presence of metastasis-was established and validated. Mechanistic analyses demonstrated enrichment of angiogenesis- and hypoxia-related signatures, along with increased immune cell infiltration in responders, providing a biological basis for the observed therapeutic efficacy.

conclusionThis integrated prognostic model, combining pathway-level genomic alterations with clinical risk factors, enables reliable prediction of treatment outcomes in patients with unresectable HCC receiving HAIC, lenvatinib, and tislelizumab. It may serve as a valuable tool for guiding personalized therapeutic decision-making.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, HepatocellularLiver NeoplasmsMutationQuinolinesAgedBiomarkers, TumorFemaleHepatic ArteryHumansInfusions, Intra-ArterialMaleMiddle AgedPhenylurea CompoundsPrognosisSignal TransductionBiomarkers, TumorlenvatinibPhenylurea CompoundsQuinolinesHepatic arterial infusion chemotherapyHepatocellular carcinomaLenvatinibPathway mutation perturbationPrognostic prediction modelTislelizumab

Identifiers

PMID42251311
PMCPMC13393629

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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.