Evidence map›Paper›PMID 35752744›Full record

ArticleJournal of cancer research and clinical oncology2023

The combination treatment strategy of lenvatinib for hepatocellular carcinoma: a real-world study.

Jinbin Chen, Peiyao Xiong, Man Nie, Yangxun Pan, Juncheng Wang, Dandan Hu, Zhongguo Zhou, Yaojun Zhang, Minshan Chen, Li Xu

Open access · greenAbstract read
In one paragraph

Article in Journal of cancer research and clinical oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 36% of its field
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

1 citing paper in PubMed, 4 citations in OpenAlex.

  1. Article
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

10 authors at 2 institutions in 1 country.

Jinbin Chen *State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Peiyao Xiong *State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Man Nie *State Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Yangxun PanState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Juncheng WangState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Dandan HuState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Zhongguo ZhouState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Yaojun ZhangState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Minshan ChenState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China.
Li XuState Key Laboratory of Oncology in South China, Sun Yat-Sen University Cancer Center, Collaborative Innovation Center for Cancer Medicine, Guangzhou, 510060, Guangdong, China. xuli@sysucc.org.cn.
Sun Yat-sen University Cancer Center · CNSun Yat-sen University · CN

Funding

National Key R&D Program of China 2020YFE0202200National Natural Science Foundation of China 81772589
6 · The paper itself

Abstract

purposeLenvatinib is recommended as a first-line therapy in unresectable hepatocellular carcinoma (HCC). Combination therapy with local therapy (LT) or PD-1/PD-L1 inhibitors (PI) might improve the antitumor effect of lenvatinib. The objective of this study was to investigate the antitumor effect of lenvatinib-based combination therapies.

methodsThe study retrospectively analyzed 215 HCC patients who received lenvatinib therapy. The outcomes of patients treated with lenvatinib monotherapy as well as combination strategies were compared. Progression-free survival (PFS) by Response Evaluation Criteria in Solid Tumors (RECIST) v1.1 was the primary endpoint, while PFS by mRECIST, overall survival (OS), objective response rate (ORR) and safety were the secondary endpoints. Propensity score matching (PSM) analysis was performed to overcome the bias of baseline characteristics.

resultsCompared with lenvatinib monotherapy, combination therapy prolonged PFS (by RECIST v1.1, 7.77 vs. 4.43 months, P = 0.045; by mRECIST, 6.97 vs. 5.27 months, P = 0.067). A higher ORR was also recorded in the combined-therapy group, according to both RECIST v1.1 (37 vs. 5%, P < 0.001) and mRECIST (53 vs. 11%, P < 0.001). Similar outcomes were obtained after PSM. Moreover, triple therapy (combined with both PI and LT) was significantly superior to dual therapy (combined with either PI or LT) in terms of better PFS according to RECIST v1.1 (8.90 vs. 6.43 months, P = 0.023). However, adverse events occurred in more patients receiving combined therapy and triple therapy. No difference was observed in OS between groups.

conclusionCombination therapies based on lenvatinib were associated with significantly better PFS and tumor response rates than lenvatinib monotherapy in HCC patients.

Indexed as

Carcinoma, HepatocellularLiver NeoplasmsCombined Modality TherapyHumansPhenylurea CompoundsQuinolinesRetrospective StudieslenvatinibPhenylurea CompoundsQuinolinesCombination therapyHepatocellular carcinomaLenvatinibLocal therapyPD-1/PD-L1 inhibitor

Identifiers

PMID35752744
PMCPMC11798206
OpenAlexW4283445936

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.