Evidence map›Paper›PMID 28744358›Full record

ArticleGastroenterology and hepatology from bed to bench2017

Oral squamous cell cancer protein-protein interaction network interpretation in comparison to esophageal adenocarcinoma.

Nasibeh Khayer, Mona Zamanian-Azodi, Vahid Mansouri, Mohammad Ghassemi-Broumand, Mostafa Rezaei-Tavirani, Mohammad Hossein Heidari, Majid Rezaei Tavirani

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In one paragraph

Article in Gastroenterology and hepatology from bed to bench, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
2.1field-weighted citation impact, top 12% 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

20 citing papers in PubMed, 28 citations in OpenAlex.

  1. Article
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  4. Article
  5. Review
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  7. Article
  8. Review
  9. Differential MicroRNA Signatures in the Pathogenesis of Barrett's Esophagus.Clinical and translational gastroenterology · 2020
    Article
  10. Review
  11. Article
  12. Article
  13. Article
  14. Nasopharyngeal Carcinoma Protein Interaction Mapping Analysis via Proteomic ApproachesAsian Pacific journal of cancer prevention : APJCP · 2018
    Article
  15. Article
  16. Metabolic analysis of acute appendicitis by using system biology approach.Gastroenterology and hepatology from bed to bench · 2018
    Article
  17. Article
  18. Article
  19. Pancreatic adenocarcinoma protein-protein interaction network analysis.Gastroenterology and hepatology from bed to bench · 2017
    Article
  20. Network analysis of common genes related to esophageal, gastric, and colon cancers.Gastroenterology and hepatology from bed to bench · 2017
    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 at 2 institutions in 1 country.

Nasibeh KhayerProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mona Zamanian-AzodiStudent Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Vahid MansouriPhysiotherapy Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Ghassemi-BroumandStudent Research Committee, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mohammad Hossein HeidariProteomics Research Center, Faculty of Paramedical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Majid Rezaei TaviraniFaculty of Medicine, Iran University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IRIran University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimThe aim of this study is to present the oral Squamous Cell Cancer protein-protein interaction network interpretation in comparison to esophageal adenocarcinoma.

backgroundOral squamous cell cancer (OSCC) is a common disease worldwide, with poor prognosis and limited treatment. Thus, introducing molecular markers through network analysis can be helpful.

methodsSTRING database (DB) was applied for network construction through Cytoscape 3.4.0. Clue GO handled the gene annotation for the retrieved clusters. Eight proteins were indicated to be differential in the network constitution.

resultsThe centrality and clustering analysis indicate that TP53 plays an over-significant role in network integrity among eight most central proteins including TP53, AKT1, EGFR, MYC, JUN, CDH1, CCND1, and CTNNB1. The suggested biomarker set is very similar to the related biomarker panel of esophageal adenocarcinoma.

conclusionThe ontology analysis implies that the prominent proteins are involved in regulation of smooth muscle cell proliferation, regulation of fibroblast proliferation, and response to UV-A processes. In conclusion, these proteins and their associated biological processes may be more critical compared to other reported biomarkers for OSCC. Nevertheless, validation studies are required for confirming the pivotal role of potential candidates. Similar biomarker panel of this disease and esophagus adenocarcinoma is corresponded to the origin of the two malignancies.

Indexed as

Clustering analysisGene ontologyOral squamous cell cancer (OSCC)Protein-protein interaction network analysis

Identifiers

PMID28744358
PMCPMC5495899
OpenAlexW2607690882

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Registered trials

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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.