Evidence map›Paper›PMID 32117772›Full record

ReviewFrontiers in oncology2020

Collagen Kinase Receptors as Potential Therapeutic Targets in Metastatic Colon Cancer.

Marie Lafitte, Audrey Sirvent, Serge Roche

Open access · goldAbstract readReview
In one paragraph

Review in Frontiers in oncology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
6.3field-weighted citation impact, top 3% 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

36 citing papers in PubMed, 65 citations in OpenAlex.

  1. Article
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  10. Review
  11. CircWHSC1 (CircNSD2): A Novel Circular RNA in Multiple Cancers.Clinical Medicine Insights. Oncology · 2024
    Review
  12. Article
  13. Optimization of the Lead Compound NVP-BHG712 as a Colorectal Cancer Inhibitor.Chemistry (Weinheim an der Bergstrasse, Germany) · 2023
    Article
  14. Article
  15. Article
  16. Article
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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.

Marie LafitteCRBM, CNRS, Univ. Montpellier, Montpellier, France.
Audrey SirventCRBM, CNRS, Univ. Montpellier, Montpellier, France.
Serge RocheCRBM, CNRS, Univ. Montpellier, Montpellier, France.
Centre de Recherche en Biologie cellulaire de Montpellier · FRUniversité de Montpellier · FR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is one of the leading causes of tumor-related death worldwide. While surgery can cure patients with early stage CRC, the 5-year survival rate is only 10% for patients with metastatic disease. Therefore, new anti-metastatic therapies are needed for this cancer. Metastatic spread defines the dissemination of cancer cells with tumor-initiating capacities from the primary tumor and their colonization of distinct organs, mainly the liver, for secondary tumor formation. Although the underlying mechanisms are not fully understood, components of the tumor microenvironment have gained strong interest. Among the known metastatic-promoting factors, collagens are extracellular matrix components that are deposited within the tumor, the tumor microenvironment, and at metastatic site(s), and are recognized to play essential roles during metastasis development. Here, we review recent findings on the metastatic role of the collagen receptors Discoidin Domain Receptors 1 and 2 (DDR1 and DDR2) in CRC and discuss the therapeutic value of targeting these receptor tyrosine kinases in this cancer.

Indexed as

collagencolorectal cancerextracellular matrixmetastasisreceptortargeted therapytumor microenvironmenttyrosine kinase

Identifiers

PMID32117772
PMCPMC7028753
OpenAlexW3005689012

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.