Evidence map›Paper›PMID 41624866›Full record

ArticleFrontiers in immunology2025

The PLANES model for unresectable hepatocellular carcinoma treated with transcatheter arterial chemoembolization plus lenvatinib and PD-1 inhibitors: a multicenter, retrospective study.

Houxiang Ya, Kai Wang, Jiayi Wu, Junyi Wu, Zhenxin Zeng, Yinan Li, Xiangye Ou, Huachun Song, Maolin Yan, Shuqun Li

Abstract readMulticenter Study
In one paragraph

Article in Frontiers in immunology, 2025. 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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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Houxiang Ya *Department of Hepatobiliary Pancreatic Surgery, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.
Kai Wang *Department of Hepatopancreatobiliary Surgery, Affiliated Hospital Shenzhen Baoan Central Hospital of Guangdong Medical University, Shenzhen, Guangdong, China.
Jiayi WuDepartment of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Junyi WuDepartment of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Zhenxin ZengDepartment of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Yinan LiDepartment of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Xiangye OuDepartment of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Huachun SongDepartment of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Maolin YanDepartment of Hepatobiliary Pancreatic Surgery, Fujian Provincial Hospital, Fuzhou, Fujian, China.
Shuqun LiDepartment of Hepatobiliary Pancreatic Surgery, The First Affiliated Hospital of Guilin Medical University, Guilin, Guangxi, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: The triple therapy regimen of transcatheter arterial chemoembolization (TACE) plus lenvatinib and PD-1 inhibitors plays a significant role in the treatment of unresectable hepatocellular carcinoma (uHCC). However, only a subset of patients can benefit from it, making it crucial to screen for those who may benefit from the triple therapy regimen. This study constructed and assessed a survival prediction nomogram for uHCC patients undergoing first-line triple therapy. Methods: Using retrospective data from 277 consecutive triple-therapy patients (treated at six Chinese centers between 2018-2023), we constructed the nomogram based on multivariate-derived predictors. Model performance was quantified through discrimination metrics and bootstrapped internal validation. External validation employed an independent cohort (n=208) from three additional institutions. Results: Independent predictors of overall survival (OS) included alpha-fetoprotein (AFP), maximum tumor diameter, tumor number, extrahepatic metastasis, and platelet-to-lymphocyte ratio (PLR). A PLANES model was constructed to predict 12-, 24-, and 36-month OS. The model demonstrated robust discriminative performance, with area under the curve (AUC) values of 0.887, 0.793 and 0.749 for 12-, 24-, and 36-month OS in the training cohort, respectively. External validation yielded AUCs of 0.922, 0.760, and 0.722 for corresponding time points. Conclusions: The PLANES model was successfully established and validated for predict prognosis in unresectable HCC patients receiving first-line triple therapy.

Indexed as

Antineoplastic Combined Chemotherapy ProtocolsCarcinoma, HepatocellularChemoembolization, TherapeuticImmune Checkpoint InhibitorsLiver NeoplasmsPhenylurea CompoundsQuinolinesAgedFemaleHumansMaleMiddle AgedNomogramsPrognosisProgrammed Cell Death 1 ReceptorRetrospective StudiesImmune Checkpoint InhibitorslenvatinibPhenylurea CompoundsProgrammed Cell Death 1 ReceptorQuinolineslenvatinibnomogramPD-1 inhibitorsTACEunresectable hepatocellular

Identifiers

PMID41624866
PMCPMC12852354

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