Evidence map›Paper›PMID 28947883›Full record

ArticleContemporary oncology (Poznan, Poland)2017

Network analysis based on TCGA reveals hub genes in colon cancer.

Fenzan Wu, Guoping Yuan, Junjie Chen, Chengzu Wang

Open access · goldAbstract read
In one paragraph

Article in Contemporary oncology (Poznan, Poland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.0field-weighted citation impact, top 25% 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

16 citing papers in PubMed, 20 citations in OpenAlex.

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  14. Aging · 2019
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  15. Gold-containing compound BDG-I inhibits the growth of A549 lung cancer cells through the deregulation of miRNA expression.Saudi pharmaceutical journal : SPJ : the official publication of the Saudi Pharmaceutical Society · 2018
    Article
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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.

Fenzan WuScience and Education Division, Cixi Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Guoping YuanClinical Laboratory, Cixi Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Junjie ChenClinical Laboratory, Cixi Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Chengzu WangClinical Laboratory, Cixi Affiliated Hospital of Wenzhou Medical University, Zhejiang, China.
Wenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Colorectal cancer (CRC) is the third most widespread cancer in the world. Although many advances have been made in molecular biology, novel approaches are still required to reveal molecular mechanisms for the diagnosis and therapy of colon cancer. In this study, we aimed to determine and analyse the hub genes of CRC. First, we explored the mRNA and microRNA (miRNA) expression profiles of colon carcinoma, then we screened target genes of differentially expressed miRNAs and obtained the intersection between differently expressed genes and target genes. Gene Ontology (GO) classification and KEGG pathway analysis of differently expressed genes were performed, and gene-miRNA and TF-gene-miRNA networks were constructed to identify hub genes, miRNAs, and TFs. In total, 3436 significant differentially expressed genes (1709 upregulated and 1727 downregulated) and 216 differentially expressed miRNAs (99 upregulated and 117 downregulated) were identified in colon cancer. These differentially expressed genes were significantly enriched in GO terms and KEGG pathways, such as cell proliferation, cell adhesion, and cytokine-cytokine receptor interaction signalling pathways.

Indexed as

Co-expression networkcolon cancerTF-miRNA-gene networkThe Cancer Genome Atlas

Identifiers

PMID28947883
PMCPMC5611503
OpenAlexW2728491717

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-SA
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.