Evidence map›Paper›PMID 32961078›Full record

ArticleThe Journal of international medical research2020

Identification of hub genes in colon cancer via bioinformatics analysis.

Jun Liu, Gui-Li Sun, Shang-Ling Pan, Meng-Bin Qin, Rong Ouyang, Jie-An Huang

Open access · goldAbstract read
In one paragraph

Article in The Journal of international medical research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.9field-weighted citation impact, top 22% 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

6 citing papers in PubMed, 8 citations in OpenAlex.

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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

6 authors at 1 institution in 1 country.

Jun LiuDepartment of Gastroenterology, the Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, P.R. China.
Gui-Li SunDepartment of Clinical Nutrition, The Third Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, P.R. China.
Shang-Ling PanDepartments of Pathophysiology, Guangxi Medical University, Nanning, Guangxi, P.R. China.
Meng-Bin QinDepartment of Gastroenterology, the Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, P.R. China.
Rong OuyangDepartment of Gastroenterology, the Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, P.R. China.
Jie-An HuangDepartment of Gastroenterology, the Second Affiliated Hospital of Guangxi Medical University, Nanning, Guangxi, P.R. China.ORCID https://orcid.org/0000-0003-0431-1888
Guangxi Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesThis study aimed to investigate hub genes and their prognostic value in colon cancer via bioinformatics analysis.

methodsDifferentially expressed genes (DEGs) of expression profiles (GSE33113, GSE20916, and GSE37364) obtained from Gene Expression Omnibus (GEO) were identified using the GEO2R tool and Venn diagram software. Function and pathway enrichment analyses were performed, and a protein-protein interaction (PPI) network was constructed. Hub genes were verified based on The Cancer Genome Atlas (TCGA) and Human Protein Atlas (HPA) databases.

resultsWe identified 207 DEGs, 62 upregulated and 145 downregulated genes, enriched in Gene Ontology terms "organic anion transport," "extracellular matrix," and "receptor ligand activity", and in the Kyoto Encyclopedia of Genes and Genomes pathway "cytokine-cytokine receptor interaction." The PPI network was constructed and nine hub genes were selected by survival analysis and expression validation. We verified these genes in the TCGA database and selected three potential predictors (

conclusionThis study indicates that these hub genes may be promising prognostic indicators or therapeutic targets for colon cancer.

Indexed as

Colonic NeoplasmsComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansBGNBioinformatic analysiscolon cancerhub genesTIMP1ZG16

Identifiers

PMID32961078
PMCPMC7513414
OpenAlexW3088489342

What OpenQuestion holds

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Registered trials

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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.