Evidence map›Paper›PMID 29324665›Full record

ArticleGenes2018

Genome-Wide Methylation Patterns in Androgen-Independent Prostate Cancer Cells: A Comprehensive Analysis Combining MeDIP-Bisulfite, RNA, and microRNA Sequencing Data.

Yumin Wang, Tingting Qin, Wangqiang Hu, Binghua Chen, Meijie Dai, Gang Xu

Open access · goldAbstract read
In one paragraph

Article in Genes, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.5field-weighted citation impact, top 32% 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

7 citing papers in PubMed, 9 citations in OpenAlex.

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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.

Yumin WangDepartment of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, ShangCai Village, Ouhai District of Wenzhou, Wenzhou 325000, China. wang_yumin2011@sina.com.
Tingting QinDepartment of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, ShangCai Village, Ouhai District of Wenzhou, Wenzhou 325000, China. tingting_qin1999@sina.com.
Wangqiang HuDepartment of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, ShangCai Village, Ouhai District of Wenzhou, Wenzhou 325000, China. wangqian_hu@sina.com.
Binghua ChenDepartment of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, ShangCai Village, Ouhai District of Wenzhou, Wenzhou 325000, China. chenbinghua1987@163.com.
Meijie DaiDepartment of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, ShangCai Village, Ouhai District of Wenzhou, Wenzhou 325000, China. daimeijie1187@163.com.
Gang XuDepartment of Laboratory Medicine, The First Affiliated Hospital of Wenzhou Medical University, ShangCai Village, Ouhai District of Wenzhou, Wenzhou 325000, China. xugangxu@hotmail.com.
First Affiliated Hospital of Wenzhou Medical University · CNWenzhou Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This study aimed to investigate the mechanisms underlying the development of the androgen-independent phenotype in prostate cancer. Methylation patterns were detected in androgen-independent and androgen-dependent lymph node carcinoma of the prostate (LNCaP) prostate carcinoma cells based on methylated DNA immunoprecipitation-bisulfite sequencing data and differentially methylated regions (DMRs) were identified. Differentially expressed genes (DEGs) and micro RNAs (miRNAs) with DMRs (named MDEGs and MDEmiRNAs) were identified by combining transcriptome and methylation data, and transcription factor (TF)-DEGs with DMRs in promoter (PMDEGs) and MDEmiRNA-MDEGs networks were constructed. Furthermore, a time-course analysis of gene transcription during androgen deprivation was performed based on microarray data and DMRs, MDEGs, and DEmiRNAs were validated. In total, 18,447 DMRs, 3369 MDEGs, 850 PMDEGs, and 1 MDEmiRNA (miR-429) were identified. A TF-target network (94 PMDEGs and 5 TFs) and a miRNA-target network (172 MDEGs and miR-429) were constructed. Based on the time-course analysis of genes in the networks,

Indexed as

androgen-independentMeDIP-bisulfite sequencingmicroRNAprostate cancertime-course

Identifiers

PMID29324665
PMCPMC5793184
OpenAlexW2784152582

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.