Evidence map›Paper›PMID 29582644›Full record

ArticleAsian Pacific journal of cancer prevention : APJCP2018

Nasopharyngeal Carcinoma Protein Interaction Mapping Analysis via Proteomic Approaches

Mona Zamanian Azodi, Majid Rezaei Tavirani, Mostafa Rezaei Tavirani, Reza Vafaee, Mohammad Rostami-Nejad

Abstract read
In one paragraph

Article in Asian Pacific journal of cancer prevention : APJCP, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing 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

11 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Review
  6. Review
  7. Article
  8. Article
  9. Article
  10. Multifaceted Role of PRDM Proteins in Human Cancer.International journal of molecular sciences · 2020
    Review
  11. 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.

Mona Zamanian AzodiHearing Disorders Research Center and Department of Biology and Anatomical Sciences, Shahid Beheshti University of Medical Sciences, Tehran, Iran. Email: Tavirani_m@yahoo.com
Majid Rezaei Tavirani
Mostafa Rezaei Tavirani
Reza Vafaee
Mohammad Rostami-Nejad

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Nasopharyngeal carcinoma (NPC), although not very common in many parts of the world, is a major concern in some countries, including Iran. Molecular studies are very helpful to provide essential information regarding underlying carcinogenetic mechanisms. Here, considering NPC proteomic approaches, established biomarkers were designated for protein-protein interaction network construction and analysis with corresponding plug-ins. A network of reported protein markers was constructed and topological and biological process features were investigated. Centrality analysis showed that JUN, CALM1, HSB1, and SOD1 are more important than other differentially expressed proteins in an interacting pattern. What is more, by extending the network, Tp53, PRDM10, AKT1, ALB, HSP90AA1, and EGFR achieved the highest values for NPC network strength. It can be concluded that these proteins as well as their contributing processes, particularly in a second network, may be important for NPC onset and development. Targeting these candidate proteins may allow novel treatment approaches following appropriate validation.

Indexed as

Gene Regulatory NetworksBiomarkers, TumorCarcinomaGene Expression Regulation, NeoplasticHumansNasopharyngeal CarcinomaNasopharyngeal NeoplasmsProtein Interaction MappingProteomeProteomicsBiomarkers, TumorProteomeNasopharyngeal carcinomaprotein−protein interaction network analysistopological analysis

Identifiers

PMID29582644
PMCPMC5980865

What OpenQuestion holds

Textmetadata
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.