Evidence map›Paper›PMID 35311147›Full record

ArticleFrontiers in oncology2022

Lenvatinib Beyond First-Line Therapy in Patients With Advanced Biliary Tract Carcinoma.

Yunchao Wang, Xiaobo Yang, Dongxu Wang, Xu Yang, Yanyu Wang, Junyu Long, Jinxue Zhou, Zhenhui Lu, Yilei Mao, Xinting Sang and 2 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
4.4field-weighted citation impact, top 5% 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

19 citing papers in PubMed, 21 citations in OpenAlex.

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  10. Lenvatinib inhibits cholangiocarcinoma progression by targeting the FGF19/PI3K/AKT signaling pathway.Apoptosis : an international journal on programmed cell death · 2025
    Article
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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

12 authors at 5 institutions in 1 country.

Yunchao WangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xiaobo YangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Dongxu WangDepartment of Hepatobiliary Surgery, General Surgery, Qilu Hospital, Cheeloo College of Medicine, Shandong University, Jinan, China.
Xu YangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Yanyu WangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Junyu LongDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Jinxue ZhouDepartment of Hepatopancreatobiliary Surgery, The Affiliated Tumor Hospital of Zhengzhou University, Zhengzhou, China.
Zhenhui LuHepatobiliary and Pancreatic Surgery, Shenzhen Qianhai Shekou Free Trade Zone Hospital, Shenzhen, China.
Yilei MaoDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Xinting SangDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Mei GuanDepartment of Oncology, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences, and Peking Union Medical College, Beijing, China.
Haitao ZhaoDepartment of Liver Surgery, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.
Chinese Academy of Medical Sciences & Peking Union Medical College · CNPeking Union Medical College Hospital · CNGuangzhou Development Zone Hospital · CNShandong University · CNZhengzhou University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Introduction: Lenvatinib, a multiple receptor tyrosine kinase inhibitors that target vascular endothelial growth factor receptors and fibroblast growth factor receptors, recently demonstrated a treatment effect in various tumors. This study evaluated the efficacy and safety of lenvatinib for patients with biliary tract cancers (BTCs) who had received ≥1 line of prior systemic anti-BTC therapy. Methods: This open-label, single-arm study included adult (≥18 years) patients with histologically confirmed BTC. Efficacy and safety were evaluated based on the Response Evaluation Criteria in Solid Tumors RECIST Version 1.1 (RECIST 1.1) and the National Cancer Institute Common Terminology Criteria for Adverse Events (CTCAE version 4.0). Changes in tumor biomarkers throughout the treatment period were recorded. Results: 41 patients received lenvatinib treatment. The ORR was 12% (95% CI: 1.7-22.7), with a median PFS of 3.8 months (95% CI: 1.3-6.3) and an OS of 11.4 months (95% CI: 6.6-16.2). Thirty-nine (95.1%) patients experienced ≥1 treatment-related adverse event. Decreasing carbohydrate antigen 19-9 (CA19-9) level predicted tumor size reduction in intrahepatic cholangiocarcinoma with a sensitivity of 77.7% and a specificity of 73.9%. Conclusions: Lenvatinib which was individualized based on the patient's weight has promising clinical activity against advanced BTC and had an acceptable safety profile. Additionally, serum biomarkers and gene sequencing may hold the potential to guide our treatment.

Indexed as

advanced biliary tract carcinomabiomarkerefficacylenvatinibtyrosine kinase inhibitor

Identifiers

PMID35311147
PMCPMC8928459
OpenAlexW4214884419

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

Registered trials

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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.