Evidence map›Paper›PMID 32840168›Full record

ArticleThe Journal of international medical research2020

Identification of differentially expressed genes between mucinous adenocarcinoma and other adenocarcinoma of colorectal cancer using bioinformatics analysis.

Xue Zhang, Jing Zuo, Long Wang, Jing Han, Li Feng, Yudong Wang, Zhisong Fan

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 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.3field-weighted citation impact, top 39% 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

4 citing papers in PubMed, 7 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

7 authors at 1 institution in 1 country.

Xue ZhangDepartment of Medical Oncology, Hebei Medical University Fourth Affiliated Hospital, Shijiazhuang, Hebei, P. R. China.
Jing ZuoDepartment of Medical Oncology, Hebei Medical University Fourth Affiliated Hospital, Shijiazhuang, Hebei, P. R. China.ORCID https://orcid.org/0000-0003-0298-3760
Long WangDepartment of Medical Oncology, Hebei Medical University Fourth Affiliated Hospital, Shijiazhuang, Hebei, P. R. China.
Jing HanDepartment of Medical Oncology, Hebei Medical University Fourth Affiliated Hospital, Shijiazhuang, Hebei, P. R. China.
Li FengDepartment of Medical Oncology, Hebei Medical University Fourth Affiliated Hospital, Shijiazhuang, Hebei, P. R. China.
Yudong WangDepartment of Medical Oncology, Hebei Medical University Fourth Affiliated Hospital, Shijiazhuang, Hebei, P. R. China.
Zhisong FanDepartment of Medical Oncology, Hebei Medical University Fourth Affiliated Hospital, Shijiazhuang, Hebei, P. R. China.
Hebei Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveAs a unique histological subtype of colorectal cancer (CRC), mucinous adenocarcinoma (MC) has a poor prognosis and responds poorly to treatment. Genes and markers related to MC have not been reported.

methodsTo identify biomarkers involved in development of MC compared with other common adenocarcinoma (AC) subtypes, four datasets were obtained from the Gene Expression Omnibus database. Differentially expressed genes (DEGs) were identified using GEO2R. A protein-protein interaction network was constructed. Functional annotation for DEGs was performed via DAVID, Metascape, and BiNGO. Significant modules and hub genes were identified using Cytoscape, and expression of hub genes and relationships between hub genes and MC were analyzed.

resultsThe DEGs were mainly enriched in negative regulation of cell proliferation, bicarbonate transport, response to peptide hormone, cell-cell signaling, cell proliferation, and positive regulation of the canonical Wnt signaling pathway. The Venn diagram revealed eight significant hub genes:

conclusionThe identified DEGs might help elucidate the pathogenesis of MC, identify potential targets, and improve treatment for CRC.

Indexed as

AdenocarcinomaAdenocarcinoma, MucinousColorectal NeoplasmsBiomarkers, TumorComputational BiologyGene Expression ProfilingGene Expression Regulation, NeoplasticHumansBiomarkers, Tumorbioinformatics analysisbiomarkerColorectal cancerdifferentially expressed genesmucinous adenocarcinomaprotein–protein interaction network

Identifiers

PMID32840168
PMCPMC7450470
OpenAlexW3081464998

What OpenQuestion holds

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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.