Evidence map›Paper›PMID 31087508›Full record

ArticleMolecular genetics & genomic medicine2019

Identification of novel biomarkers and small molecule drugs in human colorectal cancer by microarray and bioinformatics analysis.

Juan Chen, Ziheng Wang, Xianjuan Shen, Xiaopeng Cui, Yuehua Guo

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
2.4field-weighted citation impact, top 10% 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

31 citing papers in PubMed, 39 citations in OpenAlex.

  1. Role of microRNA-363 during tumor progression and invasion.Journal of physiology and biochemistry · 2024
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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 1 institution in 1 country.

Juan ChenLaboratory Medicine Center, People's Hospital of Hai'an County, Nantong, P. R. China.
Ziheng WangDepartment of Clinical Biobank, Nantong University Affiliated Hospital, Nantong, P. R. China.ORCID 0000-0001-8873-732X
Xianjuan ShenResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, P. R. China.
Xiaopeng CuiDepartment of general surgery, Affiliated Hospital of Nantong University, Nantong, P. R. China.
Yuehua GuoResearch Center of Clinical Medicine, Affiliated Hospital of Nantong University, Nantong, P. R. China.
Nantong University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundColorectal cancer (CRC) is one of the most common malignant tumors. In the present study, the expression profile of human multistage colorectal mucosa tissues, including healthy, adenoma, and adenocarcinoma samples was downloaded to identify critical genes and potential drugs in CRC.

methodsExpression profiles, GSE33113 and GSE44076, were integrated using bioinformatics methods. Differentially expressed genes (DEGs) were analyzed by R language. Functional enrichment analyses of the DEGs were performed using the Database for Annotation, visualization, and integrated discovery (DAVID) database. Then, the search tool for the retrieval of interacting genes (STRING) database and Cytoscape were used to construct a protein-protein interaction (PPI) network and identify hub genes. Subsequently, survival analysis was performed among the key genes using Gene Expression Profiling Interactive Analysis (GEPIA). Connectivity Map (CMap) was used to query potential drugs for CRC.

resultsA total of 428 upregulated genes and 751 downregulated genes in CRC were identified. The functional changes of these DEGs were mainly associated with cell cycle, oocyte meiosis, DNA replication, p53 signaling pathway, and progesterone-mediated oocyte maturation. A PPI network was identified by STRING with 482 nodes and 2,368 edges. Survival analysis revealed that high mRNA expression of AURKA, CCNB1, CCNF, and EXO1 was significantly associated with longer overall survival. Moreover, CMap predicted a panel of small molecules as possible adjuvant drugs to treat CRC.

conclusionOur study found key dysregulated genes involved in CRC and potential drugs to combat it, which may provide novel insights and potential biomarkers for prognosis, as well as providing new CRC treatments.

Indexed as

Aurora Kinase ABiomarkers, TumorColorectal NeoplasmsComputational BiologyCyclin B1CyclinsDatabases, GeneticGene Expression Regulation, NeoplasticHumansProtein Interaction MapsSmall Molecule LibrariesSurvival RateAURKA protein, humanAurora Kinase ABiomarkers, TumorCCNB1 protein, humanCCNF protein, humanCyclin B1CyclinsSmall Molecule Librariesbioinformaticsbiomarkercolorectal cancerdrug

Identifiers

PMID31087508
PMCPMC6625111
OpenAlexW2945740086

What OpenQuestion holds

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LicenceCC BY
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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.