Evidence map›Paper›PMID 29755572›Full record

ArticleIranian journal of pharmaceutical research : IJPR2018

Introducing Potential Key Proteins and Pathways in Human Laryngeal Cancer: A System Biology Approach.

Hassan Peyvandi, Ali Asghar Peyvandi, Akram Safaei, Mona Zamanian Azodi, Mostafa Rezaei-Tavirani

Open access · greenAbstract read
In one paragraph

Article in Iranian journal of pharmaceutical research : IJPR, 2018. 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
1.6field-weighted citation impact, top 17% 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, 26 citations in OpenAlex.

  1. Review
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  5. Proteomics: Concepts and applications in human medicine.World journal of biological chemistry · 2021
    Review
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  14. Proteomics Applications in Health: Biomarker and Drug Discovery and Food Industry.Iranian journal of pharmaceutical research : IJPR · 2018
    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.

Hassan PeyvandiHearing Disorders Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Ali Asghar PeyvandiHearing Disorders Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Akram SafaeiProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mona Zamanian AzodiProteomics Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.
Mostafa Rezaei-TaviraniProteomics Research Center, 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

The most common malignant neoplasm of the head and neck region is laryngeal cancer which presents a significant international health problem. The present study aims to screen potential proteins related to laryngeal cancer by network analysis to further understanding disease pathogenesis and biomarker discovery. Differentially expressed proteins were extracted from literatures of laryngeal cancer that compare proteome profiling of patient›s tissue with healthy controls. The PPI network analyzed for up and down regulated proteins with Cytoscape Version 3.4. After PPI construction, topological properties of the two networks have been analyzed. Besides, by using MCODE. the Gene Ontology (GO) analysis, the related modules and pathways were examined. Our study screened 275 differentially changed proteins, including 136 up- and 139 down-regulated proteins. For each network, it has been considered 20 key proteins as hub and 20 as bottleneck. A number of 26 hub-bottleneck nodes is introduced for the two networks. A total of 11 modules including 6 downregulated and 5 upregulated network modules were obtained. The most significant GO function in the significant upregulated module was the RNA processing, and the most significant one in the downregulated module with highest score was the respiratory electron transport chain. Among 275 investigated proteins, 12 crucial proteins are determined that 4 of them can be introduce as a possible biomarker panel including YWHAZ, PPP2R1A, HSP90AA1, and CALM3 for human laryngeal cancer.

Indexed as

Biomarker panelCytoscapeHuman laryngeal cancerPPI network analysis

Identifiers

PMID29755572
PMCPMC5937111
OpenAlexW2779894130

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.