Evidence map›Paper›PMID 30786729›Full record

ArticleCancer control : journal of the Moffitt Cancer Center

Identification of Potential Key Genes and Pathways in Early-Onset Colorectal Cancer Through Bioinformatics Analysis.

Bin Zhao, Zulqarnain Baloch, Yunhan Ma, Zheng Wan, Yani Huo, Fujun Li, Yilin Zhao

Erratum issuedOpen access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Cancer control : journal of the Moffitt Cancer Center. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 44 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
44citing papers in PubMed, 2 pooled it
7.1field-weighted citation impact, top 2% 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

44 citing papers in PubMed, 2 syntheses or guidelines pooled it, 85 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

7 authors at 3 institutions in 1 country.

Bin Zhao1 Medical College of Xiamen University, Xiamen, Fujian, China.
Zulqarnain Baloch2 College of Veterinary Medicine, South China Agricultural University, Guangzhou, China.ORCID https://orcid.org/0000-0002-7873-1343
Yunhan Ma1 Medical College of Xiamen University, Xiamen, Fujian, China.
Zheng Wan1 Medical College of Xiamen University, Xiamen, Fujian, China.
Yani Huo1 Medical College of Xiamen University, Xiamen, Fujian, China.
Fujun Li3 The Department of Anesthesiology, the First Affiliated Hospital of Harbin Medical University, Harbin, Heilongjiang, China.
Yilin Zhao1 Medical College of Xiamen University, Xiamen, Fujian, China.
Xiamen University · CNHarbin Medical University · CNSouth China Agricultural University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study was designed to identify the potential key protein interaction networks, genes, and correlated pathways in early-onset colorectal cancer (CRC) via bioinformatics methods. We selected microarray data GSE4107 consisting 12 patient's colonic mucosa and 10 healthy control mucosa; initially, the GSE4107 were downloaded and analyzed using limma package to identify differentially expressed genes (DEGs). A total of 131 DEGs consisting of 108 upregulated genes and 23 downregulated genes of patients in early-onset CRC were selected by the criteria of adjusted P values <.01 and |log2 fold change (FC)| ≥ 2. The gene ontology functional enrichment analysis and the Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis were accomplished to view the biological process, cellular components, molecular function, and the KEGG pathways of DEGs. Finally, protein-protein interactions (PPIs) were constructed, and the hub protein module was identified. Genes such as ACTA2, ACTG2, MYH11, CALD1, MYL9, TPM2, and LMOD1 were strongly implicated in CRC. In summary, in this study, we indicated that molecular mechanisms were involved in muscle contraction and vascular smooth muscle contraction signaling pathway, which improve our understanding of CRC and could be used as new therapeutic targets for CRC.

Indexed as

Computational BiologyGene Expression Regulation, NeoplasticAge of OnsetBiomarkers, TumorColorectal NeoplasmsDatasets as TopicDown-RegulationGene Expression ProfilingHumansProtein Interaction MapsSignal TransductionTissue Array AnalysisUp-RegulationBiomarkers, Tumorbioinformatics analysiscolorectal cancerdifferentially expressed genes

Identifiers

PMID30786729
PMCPMC6383095
OpenAlexW2915834874

What OpenQuestion holds

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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.