Evidence map›Paper›PMID 32181600›Full record

ArticleMolecular genetics & genomic medicine2020

Identification of key genes and pathways of diagnosis and prognosis in cervical cancer by bioinformatics analysis.

Hua-Ju Yang, Jin-Min Xue, Jie Li, Ling-Hong Wan, Yu-Xi Zhu

Open access · goldAbstract read
In one paragraph

Article in Molecular genetics & genomic medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.3field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

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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

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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

20 citing papers in PubMed, 45 citations in OpenAlex.

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  5. Regulatory mechanisms of one-carbon metabolism enzymes.The Journal of biological chemistry · 2023
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  7. Endothelin-3 is epigenetically silenced in endometrioid endometrial cancer.Journal of cancer research and clinical oncology · 2023
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  20. Role of ProEx C immunocytochemistry in cervical high-grade squamous intraepithelial lesions detection.Romanian journal of morphology and embryology = Revue roumaine de morphologie et embryologie
    Article
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.

Hua-Ju YangDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jin-Min XueDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Jie LiDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Ling-Hong WanDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.
Yu-Xi ZhuDepartment of Oncology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.ORCID 0000-0001-7563-505X
The Affiliated Yongchuan Hospital of Chongqing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundCervical cancer as one of the most common malignant tumors lead to bad prognosis among women. Some researches already focus on the carcinogenesis and pathogenesis of cervical cancer, but it is still necessary to identify more key genes and pathways.

methodsDifferentially expressed genes were identified by GEO2R from the gene expression omnibus (GEO) website, then gene ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyzed by DAVID. Meanwhile, protein-protein interaction network was constructed by STRING, and both key genes and modules were found in visualizing network through Cytoscape. Besides, GEPIA did the differential expression of key genes and survival analysis. Finally, the expression of genes related to prognosis was further explored by UNLCAN, oncomine, and the human protein atlas.

resultsTotally 57 differentially expressed genes were founded, not only enriched in G1/S transition of mitotic cell cycle, mitotic nuclear division, and cell division but also participated in cytokine-cytokine receptor interaction, toll-like receptor signaling pathway, and amoebiasis. Additionally, 12 hub genes and 3 key modules were screened in the Cytoscape visualization network. Further survival analysis showed that TYMS (OMIM accession number 188350), MCM2 (OMIM accession number 116945), HELLS (OMIM accession number 603946), TOP2A (OMIM accession number 126430), and CXCL8 (OMIM accession number 146930) were associated with the prognosis of cervical cancer.

conclusionThis study aim to better understand the characteristics of some genes and signaling pathways about cervical cancer by bioinformatics, and could provide further research ideas to find new mechanism, more prognostic factors, and potential therapeutic targets for cervical cancer.

Indexed as

Gene Regulatory NetworksProtein Interaction MapsTranscriptomeBiomarkers, TumorComputational BiologyDNA HelicasesDNA Topoisomerases, Type IIFemaleHumansInterleukin-8Minichromosome Maintenance Complex Component 2Poly-ADP-Ribose Binding ProteinsThymidylate SynthaseUterine Cervical NeoplasmsBiomarkers, TumorCXCL8 protein, humanDNA HelicasesDNA Topoisomerases, Type IIHELLS protein, humanInterleukin-8MCM2 protein, humanMinichromosome Maintenance Complex Component 2Poly-ADP-Ribose Binding ProteinsThymidylate SynthaseTOP2A protein, humanTYMS protein, humanbioinformatics analysiscervical cancerdiagnosis and prognosisdifferentially expressed genes

Identifiers

PMID32181600
PMCPMC7284022
OpenAlexW3012265150

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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.