Evidence map›Paper›PMID 27250077›Full record

ArticleJournal of endocrinological investigation2016

Key genes and pathways predicted in papillary thyroid carcinoma based on bioinformatics analysis.

J Yu, W Mai, Y Cui, L Kong

Abstract read
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In one paragraph

Article in Journal of endocrinological investigation, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed, 1 pooled it
3.2field-weighted citation impact, top 8% 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

17 citing papers in PubMed, 1 synthesis or guideline pooled it, 22 citations in OpenAlex.

  1. Pooled it
  2. Identification and assessment ofOncology letters · 2026
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  12. Combined BRAFJournal of endocrinological investigation · 2018
    Article
  13. Article
  14. Identification of Key Pathways and Genes in Anaplastic Thyroid Carcinoma via Integrated Bioinformatics Analysis.Medical science monitor : international medical journal of experimental and clinical research · 2018
    Article
  15. Article
  16. Article
  17. Association of PDCD1 gene markers with susceptibility to thyroid cancer.Journal of endocrinological investigation · 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

4 authors at 1 institution in 1 country.

J YuDepartment of Head and Neck Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, 150081, China.
W MaiDepartment of Orthopedics, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, 150081, China.
Y CuiDepartment of Radiation Oncology, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, 150081, China.
L KongDepartment of Head and Neck Surgery, The Affiliated Tumor Hospital of Harbin Medical University, Harbin, 150081, China. lingykongl@sina.com.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeThe aim of this study was to predict the key genes and pathways associated with papillary thyroid carcinoma (PTC).

methodsBased on the microarray data of GSE3467 from Gene Expression Omnibus database, we identified the differentially expressed genes (DEGs) between 9 PTC samples and 9 normal controls. With the identified DEGs, functional enrichment analyses were performed. Additionally, a protein-protein interaction network was constructed to screened out some key gene nodes. These key nodes were then performed clustering analysis and pathway enrichment analysis. Furthermore, human PTC-associated network was constructed based on these key genes to investigate the potential relationships between genes and PTC.

resultsA total of 651 up-regulated and 692 down-regulated DEGs were identified in PTC samples compared with controls. The up-regulated DEGs, such as complement component 3 (C3), were mainly enriched in hsa04610:Complement and coagulation cascades. The down-regulated DEGs, including paired box 8 (PAX8), peroxisome proliferator-activated receptor gamma (PPARG), and cadherin 1, type 1 were found enriched in hsa05216:Thyroid cancer. Total 33 DEGs were considered as key genes, such as PAX8, PPARG and Jun proto-oncogene (JUN). Disease-associated network analysis found that 15 key genes such as JUN, PPARG and matrix metallopeptidase 9 (MMP9) were involved in this network.

conclusionsDEGs of C3, PPARG, PAX8, JUN and MMP9 were differentially expressed in PTC samples and may be used as potential biomarkers in the diagnosis and treatment of PTC. Additionally, pathways of complement and coagulation cascades and thyroid cancer may also play important roles in the development of PTC.

Indexed as

Gene Expression Regulation, NeoplasticGene Regulatory NetworksCarcinoma, PapillaryComputational BiologyGene OntologyHumansMetabolic Networks and PathwaysMicroarray AnalysisProtein Interaction Domains and MotifsProto-Oncogene MasThyroid NeoplasmsProto-Oncogene MasDifferentially expressed geneDisease-associated networkPapillary thyroid carcinomaPathway

Identifiers

PMID27250077
OpenAlexW2419449644

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.