Evidence map›Paper›PMID 29511477›Full record

ArticleGastroenterology and hepatology from bed to bench2017

Pancreatic adenocarcinoma protein-protein interaction network analysis.

Mostafa Rezaei-Tavirani, Sina Rezaei-Tavirani, Nayebali Ahmadi, Nosratollah Naderi, Saeed Abdi

Open access · greenAbstract read
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 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
1.2field-weighted citation impact, top 19% 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

14 citing papers in PubMed, 14 citations in OpenAlex.

  1. Article
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  3. Side effects of omeprazole: a system biology study.Gastroenterology and hepatology from bed to bench · 2021
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  9. Gene screening of colorectal cancers via network analysis.Gastroenterology and hepatology from bed to bench · 2019
    Article
  10. Article
  11. Celiac disease microarray analysis based on System Biology Approach.Gastroenterology and hepatology from bed to bench · 2018
    Article
  12. Biochemical pathway analysis of gastric atrophy.Gastroenterology and hepatology from bed to bench · 2018
    Article
  13. Article
  14. 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

5 authors at 1 institution in 1 country.

Mostafa Rezaei-TaviraniProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Sina Rezaei-TaviraniProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nayebali AhmadiFoodborne and Waterborne Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Nosratollah NaderiBasic and Molecular Epidemiology of Gastrointestinal Disorders Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Saeed AbdiGastroenterology and Liver Diseases Research Center, Research Institute for Gastroenterology and Liver Diseases, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Shahid Beheshti University of Medical Sciences · IR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

aimGene assessment of pancreatic adenocarcinoma disease via protein-protein interaction (PPI) Network Analysis.

backgroundDiagnosis, especially early detection of pancreatic adenocarcinoma as a lethal disease implies more investigation. PPI Network Analysis is a suitable tool to discover new aspects of molecular mechanism of diseases.

methodsIn the present study the related genes to pancreatic adenocarcinoma are studied in the interactome unit and the key genes are highlighted. The significant clusters were introduced by Cluster-ONE application of Cytoscape software 3.4.0. The genes are retrieved from STRING date base and analyzed by Cytoscape software. The crucial genes based on analysis of central parameters were determined and enriched by ClueGO v2.3.5 via gene ontology.

resultsThe number of 24 key genes among 794 initial genes were highlighted as crucial nodes in relationship with pancreatic adenocarcinoma. All of the key genes were organized in a cluster including 216 nodes. The main related pathways and cancer diseases were determined.

conclusionIt was concluded that the introduced 24 genes are possible biomarker panel of pancreatic adenocarcinoma.

Indexed as

biomarker panelclustergene ontologypancreatic adenocarcinomaProtein-Protein Interaction

Identifiers

PMID29511477
PMCPMC5838186
OpenAlexW2783023350

What OpenQuestion holds

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LicenceCC BY
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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.