Evidence map›Paper›PMID 31781477›Full record

ReviewAnalytical cellular pathology (Amsterdam)2019

Proteomic Technology "Lens" for Epithelial-Mesenchymal Transition Process Identification in Oncology.

Monica Neagu, Carolina Constantin, Marinela Bostan, Constantin Caruntu, Simona Rebeca Ignat, Sorina Dinescu, Marieta Costache

Abstract readReview
In one paragraph

Review in Analytical cellular pathology (Amsterdam), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
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

10 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Review
  7. Review
  8. Article
  9. miRNAs in the Diagnosis and Prognosis of Skin Cancer.Frontiers in cell and developmental biology · 2020
    Review
  10. 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

7 authors.

Monica NeaguDepartment of Immunology, Victor Babes National Institute of Pathology, Bucharest 050096, Romania.ORCID https://orcid.org/0000-0001-9339-2805
Carolina ConstantinDepartment of Immunology, Victor Babes National Institute of Pathology, Bucharest 050096, Romania.ORCID https://orcid.org/0000-0002-2870-5497
Marinela BostanDepartment of Immunology, Victor Babes National Institute of Pathology, Bucharest 050096, Romania.
Constantin CaruntuCarol Davila University of Medicine and Pharmacy, Bucharest 050474, Romania.ORCID https://orcid.org/0000-0003-4530-7965
Simona Rebeca IgnatFaculty of Biology, University of Bucharest, Bucharest 76201, Romania.
Sorina DinescuFaculty of Biology, University of Bucharest, Bucharest 76201, Romania.ORCID https://orcid.org/0000-0001-7196-1712
Marieta CostacheFaculty of Biology, University of Bucharest, Bucharest 76201, Romania.ORCID https://orcid.org/0000-0002-8103-3693

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The epithelial-mesenchymal transition (EMT) is a complex transformation process that induces local and distant progression of many malignant tumours. Due to its complex array of proteins that are dynamically over-/underexpressed during this process, proteomic technologies gained their place in the EMT research in the last years. Proteomics has identified new molecular pathways of this process and brought important insights to develop new therapy targets. Various proteomic tools and multiple combinations were developed in this area. Out of the proteomic technology armentarium, mass spectrometry and array technologies are the most used approaches. The main characteristics of the proteomic technology used in this domain are high throughput and detection of minute concentration in small samples. We present herein, using various proteomic technologies, the identification in cancer cell lines and in tumour tissue EMT-related proteins, proteins that are involved in the activation of different cellular pathways. Proteomics has brought besides standard EMT markers (e.g., cell-cell adhesion proteins and transcription factors) other future potential markers for improving diagnosis, monitoring evolution, and developing new therapy targets. Future will increase the proteomic role in clinical investigation and validation of EMT-related biomarkers.

Indexed as

Epithelial-Mesenchymal TransitionMedical OncologyProteomicsHumansNeoplasm ProteinsNeoplasmsNeoplasm Proteins

Identifiers

PMID31781477
PMCPMC6855076

What OpenQuestion holds

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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.