Evidence map›Paper›PMID 28029655›Full record

ArticleOncotarget2017

Identifying prognostic biomarkers based on aberrant DNA methylation in kidney renal clear cell carcinoma.

Guang Chen, Yihan Wang, Lu Wang, Wanhai Xu

Open access · diamondAbstract read
In one paragraph

Article in Oncotarget, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing papers in PubMed
2.6field-weighted citation impact, top 10% 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

14 citing papers in PubMed, 47 citations in OpenAlex.

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  11. The Role of DNA Methylation in Renal Cell Carcinoma.Molecular diagnosis & therapy · 2018
    Review
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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

4 authors at 1 institution in 1 country.

Guang ChenDepartment of Urology, The 4th Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Yihan WangCollege of Bioinformatics Science and Technology, Harbin Medical University, Harbin, 150081, China.
Lu WangDepartment of Urology, The 4th Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Wanhai XuDepartment of Urology, The 4th Affiliated Hospital of Harbin Medical University, Harbin 150001, China.
Harbin Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The outcome of kidney renal clear cell carcinoma (KIRC) differs even among individuals with similar clinical characteristics. DNA methylation is regarded as a regulator of gene expression in cancers, which may be a molecular marker of prognosis. In this study, we aimed to mine novel methylation markers of the prognosis of KIRC. We revealed a total of 2793 genes differentially methylated in their promoter regions (DMGs) and 2979 differentially expressed genes (DEGs) in KIRC tissues compared with normal tissues using The Cancer Genome Atlas datasets. Then, we detected 57 and 34 subpathways enriched among the DMGs and DEGs, respectively, using the R package iSubpathwayMiner. We retained 56 subpathways related to both aberrant methylation and expression based on a hypergeometric test for further analysis. An integrated gene regulatory network was constructed using the regulatory relationships between genes in the subpathways. Using the top 15% of the nodes from the network ranked by degree, survival analysis was performed. We validated four DNA methylation signatures (RAC2, PLCB2, VAV1, and PARVG) as being highly correlated with prognosis in KIRC. These findings suggest that DNA methylation might become a prognostic predictor in KIRC and could supplement histological prognostic prediction.

Indexed as

DNA MethylationAdultAgedAged, 80 and overBiomarkers, TumorCarcinoma, Renal CellEpigenesis, GeneticFemaleGene Expression Regulation, NeoplasticGene Regulatory NetworksHumansKidney NeoplasmsMaleMiddle AgedPrognosisPromoter Regions, GeneticBiomarkers, TumorDNA methylationgene expressionkidney renal clear cell carcinomanetworkprognosis

Identifiers

PMID28029655
PMCPMC5354907
OpenAlexW2560883981

What OpenQuestion holds

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Registered trials

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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.