Evidence map›Paper›PMID 27347167›Full record

ArticleOncology letters2016

Identification of key genes associated with cervical cancer by comprehensive analysis of transcriptome microarray and methylation microarray.

Ming-Yan Liu, Hong Zhang, Yuan-Jing Hu, Yu-Wei Chen, Xiao-Nan Zhao

Open access · diamondAbstract read
In one paragraph

Article in Oncology letters, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

15 citing papers in PubMed, 22 citations in OpenAlex.

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  5. TheReports of biochemistry & molecular biology · 2022
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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 2 institutions in 1 country.

Ming-Yan LiuDepartment of Gynecology and Oncology, Tianjin Central Hospital of Gynecology and Obstetrics, Tianjin 300100, P.R. China.
Hong ZhangDepartment of Gynecology and Oncology, Tianjin Central Hospital of Gynecology and Obstetrics, Tianjin 300100, P.R. China.
Yuan-Jing HuDepartment of Gynecology and Oncology, Tianjin Central Hospital of Gynecology and Obstetrics, Tianjin 300100, P.R. China.
Yu-Wei ChenDepartment of Obstetrics and Gynecology, Graduate School of Tianjin Medical University, Tianjin 300100, P.R. China.
Xiao-Nan ZhaoDepartment of Obstetrics and Gynecology, Graduate School of Tianjin Medical University, Tianjin 300100, P.R. China.
Tianjin Central Hospital of Gynecology Obstetrics · CNTianjin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cervical cancer is the second most commonly diagnosed type of cancer and the third leading cause of cancer-associated mortality in women. The current study aimed to determine the genes associated with cervical cancer development. Microarray data (GSE55940 and GSE46306) were downloaded from Gene Expression Omnibus. Overlapping genes between the differentially expressed genes (DEGs) in GSE55940 (identified by Limma package) and the differentially methylated genes were screened. Gene Ontology (GO) enrichment analysis was subsequently performed for these genes using the ToppGene database. In GSE55940, 91 downregulated and 151 upregulated DEGs were identified. In GSE46306, 561 overlapping differentially methylated genes were obtained through the differential methylation analysis at the CpG site level, CpG island level and gene level. A total of 5 overlapping genes [dipeptidyl peptidase 4 (

Indexed as

cervical cancerdifferentially expressed genesdifferentially methylated genesgene ontology enrichment analysis

Identifiers

PMID27347167
PMCPMC4907103
OpenAlexW2408912897

What OpenQuestion holds

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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.