Evidence map›Paper›PMID 25786624›Full record

ArticleIrish journal of medical science2016

Systematic analysis to identify a key role of CDK1 in mediating gene interaction networks in cervical cancer development.

Y Luo, Y Wu, Y Peng, X Liu, J Bie, S Li

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Irish journal of medical science, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed, 1 pooled it
1.1field-weighted citation impact, top 21% 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

26 citing papers in PubMed, 1 synthesis or guideline pooled it, 67 citations in OpenAlex.

  1. Pooled it
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  5. Molecular Actions ofAnti-cancer agents in medicinal chemistry · 2024
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  10. MiR-495-3p and miR-143-3p co-target CDK1 to inhibit the development of cervical cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2021
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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

6 authors at 2 institutions in 1 country.

Y LuoDepartment of Gynaecology and Obstetrics, Nanchong Central Hospital, North Sichuan Medical College, NO.97 South Renmin Road, Nanchong, 637000, Sichuan, China. lyxnanchong@126.com.
Y WuDepartment of Gynaecology and Obstetrics, Nanchong Central Hospital, North Sichuan Medical College, NO.97 South Renmin Road, Nanchong, 637000, Sichuan, China.
Y PengDepartment of Gynaecology and Obstetrics, Nanchong Central Hospital, North Sichuan Medical College, NO.97 South Renmin Road, Nanchong, 637000, Sichuan, China.
X LiuDepartment of Gynaecology and Obstetrics, Nanchong Central Hospital, North Sichuan Medical College, NO.97 South Renmin Road, Nanchong, 637000, Sichuan, China.
J BieDepartment of Oncology, Nanchong Central Hospital, North Sichuan Medical College, NO.112 Chenshou Road Nanchong, Nanchong, 637000, Sichuan, China.
S LiDepartment of Oncology, Nanchong Central Hospital, North Sichuan Medical College, NO.112 Chenshou Road Nanchong, Nanchong, 637000, Sichuan, China.
Nanchong Central Hospital · CNNorth Sichuan Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aims to identify corresponding differentially expressed genes in cervical cancer by comparing gene expression profiles between normal and cervical cancer samples.

methodTo identify differentially expressed genes in cervical cancer, two groups of Affymetrix microarray data available online were analyzed. One group consisted of 43 carcinomatous cervical epithelial cell samples, and the other was composed of 17 healthy cervical epithelial cell samples, both from the Amerindian. R packages-GO.db, KEGG.db and KEGGREST were used to detect GO categories and KEGG pathways with significant overrepresentation in differentially expressed genes comparing with the whole genome. Cytoscape was utilized to construct biological networks.

resultsBy comparing gene expression profile of normal and cervical cancer samples, 122 differentially expressed genes were identified including 46 up-regulated genes and 76 down-regulated genes. Using the identified differentially expressed genes, a large and a small biological network was constructed. In addition, 402 GO biological processes and 9 KEGG pathways were over-represented. Top significant biological processes included cell cycle and cell proliferation. Moreover, top significant KEGG pathways were oocyte meiosis, cell cycle and progesterone-mediated oocyte maturation. Most importantly, CDK1 frequently appeared in these processes and pathways, which indicated its significant role in the progression of cervical cancer.

conclusionCDK1 plays a comprehensive role in mediating genetic networks implicated in the progression of cervical cancer. Novel therapeutics targeting CDK1 or its related pathways might help improve prognosis of advanced stage cervical cancer.

Indexed as

Gene Expression ProfilingAdultCDC2 Protein KinaseCell CycleCyclin-Dependent KinasesDown-RegulationEarly Detection of CancerFemaleGene Regulatory NetworksHumansMiddle AgedUp-RegulationUterine Cervical NeoplasmsCDC2 Protein KinaseCDK1 protein, humanCyclin-Dependent KinasesCervical cancer developmentGene expression profilesSystematic analysis

Identifiers

PMID25786624
OpenAlexW2089080407

What OpenQuestion holds

Textmetadata
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.