Evidence map›Paper›PMID 36959792›Full record

ReviewFrontiers in oncology2023

Targeting c-Met in the treatment of urologic neoplasms: Current status and challenges.

Pengxiao Su, Ming Zhang, Xin Kang

Open access · goldFull text readReview
In one paragraph

Review in Frontiers in oncology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

13 citing papers in PubMed, 17 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Molecules (Basel, Switzerland) · 2026
    Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Structural insight into the macrocyclic inhibitor TPX-0022 of c-Met and c-Src.Computational and structural biotechnology journal · 2023
    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

3 authors at 1 institution in 1 country.

Pengxiao SuHonghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Ming ZhangHonghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Xin KangHonghui Hospital, Xi'an Jiaotong University, Xi'an, China.
Xi'an Honghui Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

At present, studies have found that c-Met is mainly involved in epithelial-mesenchymal transition (EMT) of tumor tissues in urologic neoplasms. Hepatocyte growth factor (HGF) combined with c-Met promotes the mitosis of tumor cells, and then induces motility, angiogenesis, migration, invasion and drug resistance. Therefore, c-Met targeting therapy may have great potential in urologic neoplasms. Many strategies targeting c-Met have been widely used in the study of urologic neoplasms. Although the use of targeting c-Met therapy has a strong biological basis for the treatment of urologic neoplasms, the results of current clinical trials have not yielded significant results. To promote the application of c-Met targeting drugs in the clinical treatment of urologic neoplasms, it is very important to study the detailed mechanism of c-Met in urologic neoplasms and innovate c-Met targeted drugs. This paper firstly discussed the value of c-Met targeted therapy in urologic neoplasms, then summarized the related research progress, and finally explored the potential targets related to the HGF/c-Met signaling pathway. It may provide a new concept for the treatment of middle and late urologic neoplasms.

Indexed as

bladder cancerCAR-Tc-MetHGFprostate cancerrenal cell carcinomatyrosine kinase inhibitorsurologic neoplasms

Identifiers

PMID36959792
PMCPMC10028134
OpenAlexW4323363441

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read12
identifiers read17
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.