Evidence map›Paper›PMID 30909397›Full record

ReviewCells2019

C-Met as a Key Factor Responsible for Sustaining Undifferentiated Phenotype and Therapy Resistance in Renal Carcinomas.

Paulina Marona, Judyta Górka, Jerzy Kotlinowski, Marcin Majka, Jolanta Jura, Katarzyna Miekus

Open access · goldAbstract readReview
In one paragraph

Review in Cells, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
2.1field-weighted citation impact, top 13% 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

28 citing papers in PubMed, 34 citations in OpenAlex.

  1. Article
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  3. Article
  4. Review
  5. Article
  6. Retrospective study assessing the role of the androgen receptor in clear cell renal cell cancer patients treated with VEGFR inhibitors in monotherapy.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2025
    Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Article
  14. Review
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  17. c-Met up-regulates the expression of PD-L1 through MAPK/NF-κBp65 pathway.Journal of molecular medicine (Berlin, Germany) · 2022
    Article
  18. Article
  19. Review
  20. 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

6 authors at 1 institution in 1 country.

Paulina MaronaDepartment of General Biochemistry, Faculty of Biochemistry, Biopphisics and Biotechnology, Jagiellonian University, Gronostajowa Street 7, 30-387 Krakow, Poland. paulina.marona@doctoral.uj.edu.pl.ORCID 0000-0001-7664-250X
Judyta GórkaDepartment of General Biochemistry, Faculty of Biochemistry, Biopphisics and Biotechnology, Jagiellonian University, Gronostajowa Street 7, 30-387 Krakow, Poland. judyta.ciesla.gorka@gmail.com.ORCID 0000-0002-1298-329X
Jerzy KotlinowskiDepartment of General Biochemistry, Faculty of Biochemistry, Biopphisics and Biotechnology, Jagiellonian University, Gronostajowa Street 7, 30-387 Krakow, Poland. j.kotlinowski@uj.edu.pl.ORCID 0000-0002-3133-3364
Marcin MajkaDepartment of Transplantation, Jagiellonian University Medical College, Jagiellonian University, Wielicka 265, 30-663 Krakow, Poland. mmajka@cm-uj.krakow.pl.ORCID 0000-0002-0429-681X
Jolanta JuraDepartment of General Biochemistry, Faculty of Biochemistry, Biopphisics and Biotechnology, Jagiellonian University, Gronostajowa Street 7, 30-387 Krakow, Poland. jolanta.jura@uj.edu.pl.
Katarzyna MiekusDepartment of General Biochemistry, Faculty of Biochemistry, Biopphisics and Biotechnology, Jagiellonian University, Gronostajowa Street 7, 30-387 Krakow, Poland. katarzyna.miekus@uj.edu.pl.
Jagiellonian University · PL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

C-Met tyrosine kinase receptor plays an important role under normal and pathological conditions. In tumor cells' overexpression or incorrect activation of c-Met, this leads to stimulation of proliferation, survival and increase of motile activity. This receptor is also described as a marker of cancer initiating cells. The latest research shows that the c-Met receptor has an influence on the development of resistance to targeted cancer treatment. High c-Met expression and activation in renal cell carcinomas is associated with the progression of the disease and poor survival of patients. C-Met receptor has become a therapeutic target in kidney cancer. However, the therapies used so far using c-Met tyrosine kinase inhibitors demonstrate resistance to treatment. On the other hand, the c-Met pathway may act as an alternative target pathway in tumors that are resistant to other therapies. Combination treatment together with c-Met inhibitor reduces tumor growth, vascularization and pro-metastatic behavior and results in suppressed mesenchymal phenotype and vascular endothelial growth factor (VEGF) secretion. Recently, it has been shown that the acquirement of mesenchymal phenotype or lack of cell differentiation might be related to the presence of the c-Met receptor and is consequently responsible for therapy resistance. This review presents the results from recent studies identifying c-Met as an important factor in renal carcinomas being responsible for tumor growth, progression and metastasis, indicating the role of c-Met in resistance to antitumor therapy and demonstrating the pivotal role of c-Met in supporting mesenchymal cell phenotype.

Indexed as

Cell DifferentiationDrug Resistance, NeoplasmEpithelial-Mesenchymal TransitionHumansKidney NeoplasmsPhenotypeProto-Oncogene Proteins c-metProto-Oncogene Proteins c-metC-Met receptordifferentiationEMTepithelial to mesenchymal phenotypeRCC.renal carcinomatherapy resistance

Identifiers

PMID30909397
PMCPMC6468372
OpenAlexW2924643210

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.