Evidence map›Paper›PMID 32793712›Full record

ArticleAnnals of translational medicine2020

Methylation-driven genes and their prognostic value in cervical squamous cell carcinoma.

Jinhui Liu, Sipei Nie, Siyue Li, Huangyang Meng, Rui Sun, Jing Yang, Wenjun Cheng

Open access · diamondAbstract read
In one paragraph

Article in Annals of translational medicine, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
1.7field-weighted citation impact, top 16% 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

16 citing papers in PubMed, 30 citations in OpenAlex.

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  8. Promising predictive molecular biomarkers for cervical cancer (Review).International journal of molecular medicine · 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

7 authors at 2 institutions in 1 country.

Jinhui LiuDepartment of Gynecology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Sipei NieDepartment of Gynecology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Siyue LiDepartment of Gynecology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Huangyang MengDepartment of Gynecology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Rui SunDepartment of Gynecology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jing YangDepartment of Gynecology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Wenjun ChengDepartment of Gynecology, the First Affiliated Hospital of Nanjing Medical University, Nanjing, China.
Jiangsu Province Hospital · CNNanjing Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundAbnormal gene methylation is crucial for tumor progression. This study explored a cluster of methylation-driven genes involved in cervical squamous cell carcinoma (CESC).

methodsThe data on RNA expression, methylation and clinical outcomes of CESC patients were downloaded from The Cancer Genome Atlas (TCGA) database. Protein-protein interaction (PPI) network was constructed. Gene Ontology (GO) and KEGG analyses were performed to identify the biological functions of methylation-driven genes, and univariable and multivariate Cox analyses to screen out the key prognostic genes. A risk signature was established and its predictive value was evaluated with Kaplan-Meier and ROC curves. The key genes were further investigated by Cox regression analyses, gene set enrichment analysis (GSEA), and methylation site analysis. Additionally, "rms" package was used for establishing nomogram and calibrate curve.

resultsWe found 144 differentially expressed methylation-driven genes. A risk model was constructed with three key prognostic genes (

conclusionsMethylation-driven

Indexed as

bioinformatic analysisbiomarkerscervical squamous cell carcinoma (CESC)Methylation-driven genesprognosis

Identifiers

PMID32793712
PMCPMC7396800
OpenAlexW3042991935

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.