Evidence map›Paper›PMID 23320251›Full record

ArticlePathology research international2012

MET/HGF Signaling Pathway in Ovarian Carcinoma: Clinical Implications and Future Direction.

Paulette Mhawech-Fauceglia, Michelle Afkhami, Tanja Pejovic

Open access · hybridAbstract read
In one paragraph

Article in Pathology research international, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.

0numbers the graph read from it
0cells of the map it votes in
18citing papers in PubMed
0.7field-weighted citation impact, top 30% 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

18 citing papers in PubMed, 28 citations in OpenAlex.

  1. Developments in Genetics: Better Management of Ovarian Cancer Patients.International journal of molecular sciences · 2023
    Review
  2. Article
  3. Review
  4. Article
  5. Article
  6. Article
  7. A receptor-antibody hybrid hampering MET-driven metastatic spread.Journal of experimental & clinical cancer research : CR · 2021
    Article
  8. Article
  9. Regulation of HGF and c-MET Interaction in Normal Ovary and Ovarian Cancer.Reproductive sciences (Thousand Oaks, Calif.) · 2017
    Review
  10. Review
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Role of cMET in the development and progression of colorectal cancer.International journal of molecular sciences · 2013
    Review
  17. Article
  18. 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

3 authors at 2 institutions in 1 country.

Paulette Mhawech-FaucegliaDepartment of Pathology, University of Southern California, Room 7A116, 1200 N. State Street, Los Angeles, CA 90033-5000, USA.
Michelle Afkhami
Tanja Pejovic
State Street (United States) · USOregon Health & Science University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The HGF/MET signaling pathway is abnormal in numerous cancers including ovarian cancer. MET is expressed in 70% of human cancer and it is overexpressed in 30% of ovarian cases and cancer cell lines. The HGF/MET pathway plays a role in the initiation and progression of ovarian cancer through the most distinctive biologic program known as "invasive growth" which is accomplished through a coordinated activation of cell motility, invasiveness, degradation of extracellular matrix, survival, and proliferation. Because of its ubiquitous role in cancer, the MET axis seems to be an attractive target for cancer therapy. Numerous HGF/MET pathway inhibitor compounds are already in use in clinical trials in various solid tumors. In this paper, we will discuss the HGF/MET pathway in ovarian cancer, its clinical significance, and its potential use as a target therapy in the future.

Identifiers

PMID23320251
PMCPMC3540829
OpenAlexW1991219544

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.