Evidence map›Paper›PMID 30881993›Full record

ArticleBioMed research international2019

Predicting MicroRNA Target Genes and Identifying Hub Genes in IIA Stage Colon Cancer Patients Using Bioinformatics Analysis.

Zhiyong Dong, Wei Lin, Stacy A Kujawa, Shike Wu, Cunchuan Wang

Open access · hybridAbstract read
In one paragraph

Article in BioMed research international, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.9field-weighted citation impact, top 24% 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

3 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

5 authors at 4 institutions in 2 countries.

Zhiyong DongDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, No. 601, Huangpu Ave, Guangzhou, Guangdong, 510630, China.
Wei LinDepartment of Gastrointestinal Surgery, The Affiliated Hospital of Putian University, No. 999, Dongzhen Road, Putian, 351100, China.
Stacy A KujawaRobert H Lurie Comprehensive Cancer Center, Feinberg School of Medicine, Northwestern University, 303 E. Superior St., Chicago, IL, 60611, USA.
Shike WuDepartment of Gastrointestinal and Anal Surgery, Ruikang Hospital, Guangxi Traditional Chinese Medical University, No. 10, Huadong Road, Nanning 530001, China.
Cunchuan WangDepartment of Gastrointestinal Surgery, The First Affiliated Hospital of Jinan University, No. 601, Huangpu Ave, Guangzhou, Guangdong, 510630, China.ORCID 0000-0002-3278-9005
First Affiliated Hospital of Jinan University · CNGuangxi University of Chinese Medicine · CNNorthwestern University · USPutian University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColon cancer is a heterogeneous disease, differing in clinical symptoms, epigenetics, and prognosis for each individual patient. Identifying the core genes is important for early diagnoses and it provides a more precise method for treating colon cancer. MATERIALS AND

methodsIn this study, we wanted to pinpoint these core genes so we obtained GSE101502 microRNA profiles from the GEO database, which resulted in 17 differential expressed microRNAs that were identified by GEO2R analysis. Then, 875 upregulated and 2920 downregulated target genes were predicted by FunRich. GO and KEGG pathway were used to do enrich analysis.

resultsGO analysis indicated that upregulated genes were significantly enriched in the regulation of cell communication and signaling and in nervous system development, while the downregulated genes were significantly enriched in nervous system development and regulation of transcription from the RNA polymerase II promoter. KEGG pathway analysis suggested that the upregulated genes were enriched in axon guidance, MAPK signaling pathway, and endocytosis, while the downregulated genes existed in pathways in cancer, focal adhesion, and PI3K-Akt signaling pathway. The top four molecules including 82 hub genes were identified from the PPI network and involved in endocytosis, spliceosome, TGF-beta signaling pathway, and lysosome. Finally, NUDT21, GNB1, CLINT1, and COL1A2 core gene were selected due to their correlation with the prognosis of IIA stage colon cancer.

conclusionthis study suggested that NUDT21, GNB1, CLINT1, and COL1A2 might be the core genes for colon cancer that play an important role in the development and prognosis of IIA stage colon cancer.

Indexed as

Computational BiologyAdaptor Proteins, Vesicular TransportCleavage And Polyadenylation Specificity FactorCollagen Type IColonic NeoplasmsDatabases, GeneticDisease-Free SurvivalGene Expression Regulation, NeoplasticGene OntologyGTP-Binding Protein beta SubunitsHumansMaleMicroRNAsMiddle AgedNeoplasm ProteinsNeoplasm StagingAdaptor Proteins, Vesicular TransportCleavage And Polyadenylation Specificity FactorCLINT1 protein, humanCOL1A2 protein, humanCollagen Type IGNB1 protein, humanGTP-Binding Protein beta SubunitsMicroRNAsNeoplasm ProteinsNudt21 protein, human

Identifiers

PMID30881993
PMCPMC6383401
OpenAlexW2911407146

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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.