Evidence map›Paper›PMID 38717693›Full record

ArticleHepatology international2024

Hepatic artery infusion chemotherapy combined with camrelizumab plus rivoceranib for hepatocellular carcinoma with portal vein tumor thrombosis: a multicenter propensity score-matching analysis.

Yangyang Li, Jiandong Guo, Wendao Liu, Huajin Pang, Yipei Song, Siyi Wu, Fengtao Zhang, Dong Yan, Junwei Chen, Chao An and 1 more

Abstract readMulticenter Study
In one paragraph

Article in Hepatology international, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 5 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed, 5 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

18 citing papers in PubMed, 5 syntheses or guidelines pooled it.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

11 authors.

Yangyang Li *Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, No.613 of West Huangpu Avenue, Guangzhou, Guangdong, 510630, People's Republic of China.
Jiandong Guo *Department of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, No.613 of West Huangpu Avenue, Guangzhou, Guangdong, 510630, People's Republic of China.
Wendao LiuDepartment of Interventional Therapy, Guangdong Provincial Hospital of Chinese Medicine and Guangdong Provincial Academy of Chinese Medical Sciences, No. 111 Dade Road, 510080, Guangzhou, Guangdong, People's Republic of China.
Huajin PangDivision of Vascular and Interventional Radiology, Department of General Surgery, Nanfang Hospital, Southern Medical University, Guangzhou, Guangdong, 510515, People's Republic of China.
Yipei SongDepartment of Radiology, The Second Affiliated Hospital of Nanchang University, Nanchang, China.
Siyi WuDepartment of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, No.613 of West Huangpu Avenue, Guangzhou, Guangdong, 510630, People's Republic of China.
Fengtao ZhangDepartment of Interventional Therapy, Huazhong University of Science and Technology Union Shenzhen Hospital, Shenzhen, Guangdong, China.
Dong YanDepartment of Oncology, Beijing Luhe Hospital, Capital Medical University, Beijing, 101199, China.
Junwei ChenDepartment of Interventional Radiology, The Third Affiliated Hospital of Sun Yat-Sen University, Tianhe Road 600#, Tianhe District, Guangzhou, 510630, Guangdong, People's Republic of China.
Chao AnDepartment of Minimal Invasive Intervention, Sun Yat-Sen University Cancer CenterState Key Laboratory of Oncology in South ChinaCollaborative Innovation Center for Cancer Medicine, 651, Dongfeng East Road, Guangzhou, People's Republic of China. anchao-1983@163.com.
Chengzhi LiDepartment of Interventional Radiology and Vascular Surgery, The First Affiliated Hospital of Jinan University, No.613 of West Huangpu Avenue, Guangzhou, Guangdong, 510630, People's Republic of China. lichengzhi@jnu.edu.cn.ORCID http://orcid.org/0000-0002-6661-166X

Funding

Dong Yan KM202010025005
6 · The paper itself

Abstract

backgroundPortal vein tumor thrombosis (PVTT) signifies late-stage hepatocellular carcinoma (HCC) with high-risk progression and poor prognosis. As a standard treatment, sorafenib monotherapy has limited the efficacy in managing HCC with PVTT. Currently, both hepatic arterial infusion chemotherapy (HAIC) and the combination of camrelizumab and rivoceranib have shown favorable survival benefits for advanced HCC, surpassing the standard sorafenib treatment. In this study, we investigate the safety and efficacy of HAIC combined with camrelizumab and rivoceranib in treating HCC patients with PVTT.

methodsFrom January 2020 to December 2021, HCC patients with PVTT, who received either a triple regime of HAIC combined with camrelizumab and rivoceranib or a dual regime of camrelizumab and rivoceranib as their first-line treatment, were reviewed for eligibility at four hospital centers in China. To balance any intergroup differences, propensity score matching (PSM) was applied. The aim of this study is to compare the efficacy of the dual and triple combination treatment regimens based on survival prognosis and tumor response and evaluate the safety based on the occurrence of adverse reactions.

resultIn this study, a total of 411 patients who received either the triple treatment regime (HAIC combined with camrelizumab plus rivoceranib, referred to as the HAICCR group, n = 292) or the dual treatment regime (camrelizumab combined with rivoceranib, referred to as the CR group, n = 119) between January 2020 and December 2021 were included. The results showed that the HAICCR group exhibited significantly better overall survival (mOS: 19.60 months vs. 11.50 months, p < 0.0001) and progression-free survival (mPFS: 10.0 months vs. 5.6 months, p < 0.0001) compared to the CR group in the overall cohort. Moreover, the HAICCR group also had a significantly higher ORR (objective response rate, 55.5% vs. 42.0%, p = 0.013) and DCR (disease control rate, 89.0% vs. 79.0%) compared to the CR group. After PSM, a final matched cohort of 83 pairs was obtained, and the survival benefits were consistent in this cohort as well (mOS: 18.70 months vs. 11.0 months, p < 0.0001; mPFS: 10.0 months vs. 5.6 months, p < 0.0001). However, there was no significant difference in the ORR between the triple and dual combination regimes. Univariate and multivariate analysis showed that CTP (Child-Turcotte-Pugh) stage, ALBI (albumin-bilirubin index) grade, tumor number, and treatment regime were significant risk factors affecting overall survival, while AFP (α-fetoprotein) level, tumor number, metastasis, and treatment regime were significant risk factors affecting progression-free survival. As for safety, hypertension and hand-foot syndrome were the two most common adverse reactions in both groups, with no significant difference in the occurrence of adverse reactions between the two groups (p < 0.05).

conclusionIn the context of advanced HCC patients with PVTT, the combination regime of HAIC and camrelizumab plus rivoceranib demonstrates more excellent capacity for prolonging survival and offers a well-tolerated safety compared to the CR dual therapy approach. This triple regime represents a therapeutic modality of broad prospects and vast potential for HCC patients with PVTT.

Indexed as

Antibodies, Monoclonal, HumanizedAntineoplastic Combined Chemotherapy ProtocolsCarcinoma, HepatocellularInfusions, Intra-ArterialLiver NeoplasmsAdultAgedChinaFemaleHepatic ArteryHumansMaleMiddle AgedPortal VeinPropensity ScoreRetrospective StudiesAntibodies, Monoclonal, HumanizedcamrelizumabCamrelizumabHepatic artery infusion chemotherapyHepatocellular carcinomaPortal vein tumor thrombosisPropensity score matchingRivoceranib

Identifiers

PMID38717693
PMCPMC11297837

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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.