Evidence map›Paper›PMID 27139908›Full record

ReviewMolecular diagnosis & therapy2016

The Therapeutic Potential of Targeting the HGF/cMET Axis in Ovarian Cancer.

Kim Moran-Jones

Abstract readReview
PubMed Publisher
In one paragraph

Review in Molecular diagnosis & therapy, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.7field-weighted citation impact, top 28% 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

7 citing papers in PubMed, 11 citations in OpenAlex.

  1. Review
  2. Article
  3. Article
  4. Review
  5. Article
  6. The Role of microRNAs in Epithelial Ovarian Cancer Metastasis.International journal of molecular sciences · 2020
    Review
  7. 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

1 author at 1 institution in 1 country.

Kim Moran-JonesWolfson Wohl Cancer Research Centre, University of Glasgow, Switchback Rd, Glasgow, G61 1QH, UK. Kim.Moran-Jones@Glasgow.ac.uk.
University of Glasgow · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Survival rates for ovarian cancer have remained relatively stable for the past 2 decades despite advances in surgical techniques and cytotoxic chemotherapeutics, indicating a requirement for better therapies. One pathway currently proposed for targeting is the HGF/cMET pathway. Upregulated in a number of tumour types, cMET is a tyrosine kinase receptor expressed on epithelial cells. In ovarian cancer, it has been identified as highly expressed in the four major subtypes, with expression estimates ranging from 11 to 68 % of cases. HGF, the only known ligand for cMET, is found at high levels in both serum and ascites in women with ovarian cancer, and is proposed to induce both migration and metastasis. However, clinically validated biomarkers are not yet available for either HGF or cMET, preventing a clear understanding of the true rate of overexpression, or its correlation with prognosis. Despite this, a number of agents against HGF and cMET are currently being investigated in clinical trials for multiple tumour types, including ovarian. However, a lack of patient selection, biomarker usage, and post hoc analysis correlating response with expression has resulted in the majority of these trials showing little beneficial effect from these agents, indicating that additional research is required to determine their usefulness in patients with ovarian cancer.

Indexed as

Antineoplastic AgentsBiomarkersCarcinoma, Ovarian EpithelialChromosome AberrationsClinical Trials as TopicFemaleGene Expression Regulation, NeoplasticHepatocyte Growth FactorHumansMolecular Targeted TherapyNeoplasms, Glandular and EpithelialOvarian NeoplasmsProto-Oncogene Proteins c-metSignal TransductionStandard of CareTreatment OutcomeAntineoplastic AgentsBiomarkersHepatocyte Growth FactorProto-Oncogene Proteins c-met

Identifiers

PMID27139908
OpenAlexW2344114823

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.