Evidence map›Paper›PMID 34227253›Full record

ArticleCancer medicine2021

Expression of 5-methylcytosine regulators is highly associated with the clinical phenotypes of prostate cancer and DNMTs expression predicts biochemical recurrence.

Lin Wang, Guoping Ren, Biaoyang Lin

Open access · goldAbstract read
In one paragraph

Article in Cancer medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.4field-weighted citation impact, top 41% 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

4 citing papers in PubMed, 7 citations in OpenAlex.

  1. Article
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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

3 authors at 3 institutions in 2 countries.

Lin WangCollege of Life Science, Zhejiang University, Hangzhou, China.
Guoping RenDepartment of Pathology, The First Affiliated Hospital, School of Medicine, Zhejiang University, Hangzhou, China.
Biaoyang LinCollege of Life Science, Zhejiang University, Hangzhou, China.
First Affiliated Hospital Zhejiang University · CNZhejiang International Studies University · CNZhejiang University · CN

Funding

National Key R&D Program of China 2016YFC1303401National Science and Technology Major Project of China 2018ZX10302205
6 · The paper itself

Abstract

In patients with prostate cancer (PCa), there is a high rate of overdiagnosis and frequent overtreatment. Therefore, there is an urgent need for more accurate prediction of biochemical recurrence (BCR). DNA methylation regulation patterns play crucial roles in tumorigenicity, progression, and treatment efficacy in PCa. However, the global relationship between epigenetic alterations, changes in mRNA levels, and pathologic phenotypes of PCa remain largely undefined. Here, we conducted a systematic analysis to identify global coexpression and comethylation modules in PCa. We identified coregulated methylation and expression modules and the relationships between epigenetic modifications, tumor progression, and the corresponding immune microenvironment in PCa. Our results show that DNA methyltransferases (DNMTs) are strongly associated with pathologic phenotypes and immune infiltration patterns in PCa. We built a two-factor predictive model using the expression features of DNMT3B and DNMT1. The model was used to predict the BCR status of patients with PCa and achieved area under the receiver operating characteristic curve values of 0.70 and 0.88 in the training and independent testing datasets, respectively.

Indexed as

5-MethylcytosineDatasets as TopicDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA MethylationDNA Methyltransferase 3BEpigenesis, GeneticGene Expression ProfilingGene Expression Regulation, NeoplasticHumansKallikreinsMaleModels, GeneticNeoplasm Recurrence, LocalProstate-Specific AntigenProstatic Neoplasms5-MethylcytosineDNA (Cytosine-5-)-Methyltransferase 1DNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BDNMT1 protein, humanKallikreinsKLK3 protein, humanProstate-Specific Antigenbiochemical recurrenceDNA methyltransferaseimmune infiltrationprostate cancer

Identifiers

PMID34227253
PMCPMC8366102
OpenAlexW3178164937

What OpenQuestion holds

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LicenceCC BY
Read underepoch 390

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.