Evidence map›Paper›PMID 34804015›Full record

ReviewFrontiers in immunology2021

Selective Inhibitor of the c-Met Receptor Tyrosine Kinase in Advanced Hepatocellular Carcinoma: No Beneficial Effect With the Use of Tivantinib?

Shankun Zhao, Weizhou Wu, Hao Jiang, Lei Ma, Chengyi Pan, Chong Jin, Jinggang Mo, Liezhi Wang, Kunpeng Wang

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in immunology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.0field-weighted citation impact, top 11% 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

14 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Hepatocellular carcinoma: signaling pathways and therapeutic advances.Signal transduction and targeted therapy · 2025
    Review
  6. Review
  7. Tumor biomarkers for diagnosis, prognosis and targeted therapy.Signal transduction and targeted therapy · 2024
    Review
  8. Article
  9. Review
  10. Review
  11. New and Old Key Players in Liver Cancer.International journal of molecular sciences · 2023
    Review
  12. Review
  13. Receptor tyrosine kinase inhibitors in cancer.Cellular and molecular life sciences : CMLS · 2023
    Review
  14. Review
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

9 authors at 2 institutions in 1 country.

Shankun ZhaoDepartment of Urology, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Weizhou WuDepartment of Urology, Maoming People's Hospital, Maoming, China.
Hao JiangDepartment of General Surgery, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Lei MaDepartment of General Surgery, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Chengyi PanDepartment of General Surgery, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Chong JinDepartment of General Surgery, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Jinggang MoDepartment of General Surgery, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Liezhi WangDepartment of General Surgery, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Kunpeng WangDepartment of General Surgery, Taizhou Central Hospital (Taizhou University Hospital), Taizhou, China.
Taizhou University · CNTaizhou Central Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Advanced hepatocellular carcinoma (HCC) remains a formidable health challenge worldwide, with a 5-year survival rate of 2.4% in patients with distant metastases. The hepatocyte growth factor/cellular-mesenchymal-epithelial transition (HGF/c-Met) signaling pathway represents an encouraging therapeutic target for progressive HCC. Tivantinib, a non-adenosine triphosphate-competitive c-Met inhibitor, showed an attractive therapeutic effect on advanced HCC patients with high MET-expression in phase 2 study but failed to meet its primary endpoint of prolonging the overall survival (OS) in two phase 3 HCC clinical trials. Seven clinical trials have been registered in the "ClinicalTrials.gov" for investigating the safety and efficacy of tivantinib in treating advanced or unresectable HCC. Eight relevant studies have been published with results. The sample size ranged from 20 to 340 patients. The methods of tivantinib administration and dosage were orally 120/240/360 mg twice daily. MET overexpression was recorded at 34.6% to 100%. Two large sample phase 3 studies (the METIV-HCC study of Australia and European population and the JET-HCC study of the Japanese population) revealed that tivantinib failed to show survival benefits in advanced HCC. Common adverse events with tivantinib treatment include neutropenia, ascites, rash, and anemia, etc. Several factors may contribute to the inconsistency between the phase 2 and phase 3 studies of tivantinib, including the sample size, drug dosing, study design, and the rate of MET-High. In the future, high selective MET inhibitors combined with a biomarker-driven patient selection may provide a potentially viable therapeutic strategy for patients with advanced HCC.

Indexed as

AdolescentAdultAgedAntineoplastic AgentsCarcinoma, HepatocellularClinical Trials as TopicFemaleHumansLiver NeoplasmsMaleMiddle AgedMolecular Targeted TherapyProtein Kinase InhibitorsProto-Oncogene Proteins c-metPyrrolidinonesQuinolinesAntineoplastic AgentsARQ 197MET protein, humanProtein Kinase InhibitorsProto-Oncogene Proteins c-metPyrrolidinonesQuinolinesadverse eventhepatocellular carcinomaMET inhibitortherapeutic effecttivantinib

Identifiers

PMID34804015
PMCPMC8600564
OpenAlexW3211903971

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.