Evidence map›Paper›PMID 33425730›Full record

ReviewFrontiers in oncology2020

The Extracellular Matrix-Derived Biomarkers for Diagnosis, Prognosis, and Personalized Therapy of Malignant Tumors.

Elena V Petersen, Daria A Chudakova, Ekaterina Yu Skorova, Vladimir Anikin, Igor V Reshetov, Ospan A Mynbaev

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 23 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed, 1 pooled it
1.6field-weighted citation impact, top 16% 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

23 citing papers in PubMed, 1 synthesis or guideline pooled it, 32 citations in OpenAlex.

  1. Pooled it
  2. Trial
  3. Article
  4. Article
  5. Article
  6. Review
  7. Battlegrounds of treatment resistance: decoding the tumor microenvironment.Naunyn-Schmiedeberg's archives of pharmacology · 2025
    Review
  8. Article
  9. Article
  10. Article
  11. Artificial Intelligence in Metabolomics: A Current Review.Trends in analytical chemistry : TRAC · 2024
    Article
  12. Article
  13. Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. 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

6 authors at 4 institutions in 3 countries.

Elena V PetersenDepartment of Molecular and Bio Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
Daria A ChudakovaSchool of Biological Sciences, University of Auckland, Auckland, New Zealand.
Ekaterina Yu SkorovaDepartment of Molecular and Bio Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
Vladimir AnikinHarefield Hospital, The Royal Brompton and Harefield Hospitals NHS Foundation Trust, Harefield, United Kingdom.
Igor V ReshetovDepartment of Molecular and Bio Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
Ospan A MynbaevDepartment of Molecular and Bio Physics, Moscow Institute of Physics and Technology, Dolgoprudny, Russia.
Moscow Institute of Physics and Technology · RUHarefield Hospital · GBSechenov University · RUUniversity of Auckland · NZ

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The tumor biomarkers already have proven clinical value and have become an integral part in cancer management and modern translational oncology. The tumor tissue microenvironment (TME), which includes extracellular matrix (ECM), signaling molecules, immune and stromal cells, and adjacent non-tumorous tissue, contributes to cancer pathogenesis. Thus, TME-derived biomarkers have many clinical applications. This review is predominately based on the most recent publications (manuscripts published in a last 5 years, or seminal publications published earlier) and fills a gap in the current literature on the cancer biomarkers derived from the TME, with particular attention given to the ECM and products of its processing and degradation, ECM-associated extracellular vesicles (EVs), biomechanical characteristics of ECM, and ECM-derived biomarkers predicting response to the immunotherapy. We discuss the clinical utility of the TME-incorporating three-dimensional

Indexed as

3D cell culturebiomarkerscancerextracellular matrixextracellular vesiclespersonalized therapytumor microenvironment

Identifiers

PMID33425730
PMCPMC7793707
OpenAlexW3115653515

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.