Evidence map›Paper›PMID 33777535›Full record

ArticlePeerJ2021

Bioinformatics analysis identified CDC20 as a potential drug target for cholangiocarcinoma.

Prin Sungwan, Worachart Lert-Itthiporn, Atit Silsirivanit, Nathakan Klinhom-On, Seiji Okada, Sopit Wongkham, Wunchana Seubwai

Open access · goldAbstract read
In one paragraph

Article in PeerJ, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
4.2field-weighted citation impact, top 5% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 18 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 2 institutions in 2 countries.

Prin SungwanBiomedical Science Program, Graduate School, Khon Kaen University, Khon Kaen, Thailand.
Worachart Lert-ItthipornDepartment of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Atit SilsirivanitDepartment of Biochemistry, Faculty of Medicine, Khon Kaen University, Khon Kaen, Thailand.
Nathakan Klinhom-OnCholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.
Seiji OkadaDivision of Hematopoeisis, Joint Research Center for Human Retrovirus Infection, Kumamoto University, Kumamoto, Japan.
Sopit WongkhamCholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.
Wunchana SeubwaiCholangiocarcinoma Research Institute, Khon Kaen University, Khon Kaen, Thailand.
Khon Kaen University · THKumamoto University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCholangiocarcinoma (CCA) is a malignancy that originates from bile duct cells. The incidence and mortality of CCA are very high especially in Southeast Asian countries. Moreover, most CCA patients have a very poor outcome. Presently, there are still no effective treatment regimens for CCA. The resistance to several standard chemotherapy drugs occurs frequently; thus, searching for a novel effective treatment for CCA is urgently needed.

methodsIn this study, comprehensive bioinformatics analyses for identification of novel target genes for CCA therapy based on three microarray gene expression profiles (GSE26566, GSE32225 and GSE76297) from the Gene Expression Omnibus (GEO) database were performed. Based on differentially expressed genes (DEGs), gene ontology and pathway enrichment analyses were performed. Protein-protein interactions (PPI) and hub gene identifications were analyzed using STRING and Cytoscape software. Then, the expression of candidate genes from bioinformatics analysis was measured in CCA cell lines using real time PCR. Finally, the anti-tumor activity of specific inhibitor against candidate genes were investigated in CCA cell lines cultured under 2-dimensional and 3-dimensional cell culture models.

resultsThe three microarray datasets exhibited an intersection consisting of 226 DEGs (124 up-regulated and 102 down-regulated genes) in CCA. DEGs were significantly enriched in cell cycle, hemostasis and metabolism pathways according to Reactome pathway analysis. In addition, 20 potential hub genes in CCA were identified using the protein-protein interaction (PPI) network and sub-PPI network analysis. Subsequently, CDC20 was identified as a potential novel targeted drug for CCA based on a drug prioritizing program. In addition, the anti-tumor activity of a potential CDC20 inhibitor, namely dinaciclib, was investigated in CCA cell lines. Dinaciclib demonstrated huge anti-tumor activity better than gemcitabine, the standard chemotherapeutic drug for CCA.

conclusionUsing integrated bioinformatics analysis, CDC20 was identified as a novel candidate therapeutic target for CCA.

Indexed as

Bioinformatic analysisCDC20CholangiocarcinomaDinaciclibGEOIn silicoSpheroidTCGA

Identifiers

PMID33777535
PMCPMC7980698
OpenAlexW3137428078

What Socratic holds

Textmetadata
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 Socratic graph.