Evidence map›Paper›PMID 29456764›Full record

ArticleClinical epigenetics2018

Integrative analysis of the epigenetic basis of muscle-invasive urothelial carcinoma.

Thomas Sanford, Maxwell V Meng, Reema Railkar, Piyush K Agarwal, Sima P Porten

Open access · goldAbstract read
In one paragraph

Article in Clinical epigenetics, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
4.0field-weighted citation impact, top 6% 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

17 citing papers in PubMed, 25 citations in OpenAlex.

  1. Review
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  9. DNA-methylated gene markers for colorectal cancer in TCGA database.Experimental and therapeutic medicine · 2020
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  17. Epigenetic Alterations in Bladder Cancer.Current urology reports · 2018
    Review
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 3 institutions in 1 country.

Thomas Sanford2Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Building 10-Hatfield CRC, Room 2-5952, Bethesda, MD 20892-1210 USA.
Maxwell V Meng1Department of Urology, University of California, Mail code 1695, 550 16th Street, 6th Floor, San Francisco, CA 94143 USA.
Reema Railkar2Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Building 10-Hatfield CRC, Room 2-5952, Bethesda, MD 20892-1210 USA.
Piyush K Agarwal2Urologic Oncology Branch, Center for Cancer Research, National Cancer Institute, Building 10-Hatfield CRC, Room 2-5952, Bethesda, MD 20892-1210 USA.
Sima P Porten1Department of Urology, University of California, Mail code 1695, 550 16th Street, 6th Floor, San Francisco, CA 94143 USA.
National Cancer Institute · USUniversity of California, San Francisco · USCenter for Cancer Research · US

Funding

Targeting Metabolic Pathways in Bladder CancerZIABC011741 · NCI · DIVISION OF BASIC SCIENCES - NCI · PI AGARWAL, PIYUSH · 2016 to 2019
$796k
6 · The paper itself

Abstract

Background: Elucidation of epigenetic alterations in bladder cancer will lead to further understanding of the biology of the disease and hopefully improved therapies. Our aim was to perform an integrative epigenetic analysis of invasive urothelial carcinoma of the bladder to identify the epigenetic abnormalities involved in the development and progression of this cancer. Methods: Pre-processed methylation data and RNA-seq data were downloaded from The Cancer Genome Atlas (TCGA) and processed using the R package TCGA-Assembler. An R package MethylMix was used to perform an analysis incorporating both methylation and gene expression data on all samples, as well as a subset analysis comparing patients surviving less than 2 years and patients surviving more than 2 years. Genes associated with poor prognosis were individually queried. Pathway analysis was performed on statistically significant genes identified by MethylMix criteria using ConsensusPathDB. Validation was performed using flow cytometry on bladder cancer cell lines. Results: A total of 408 patients met all inclusion criteria. There were a total of 240 genes differentially methylated by MethylMix criteria. Review of individual genes specific to poor-prognosis patients revealed the majority to be candidate tumor suppressors in other cancer types. Pathway analysis showed increase in methylation of genes involved in antioxidant pathways including glutathione and NRF2. Genes involved in estrogen metabolism were also hypermethylated while genes involved in the EGFR pathway were found to be hypomethylated. EGFR expression was confirmed to be elevated in six bladder cancer cell lines. Conclusions: In patients with invasive urothelial carcinoma, we found differential methylation in patients with better and worse prognosis after cystectomy. Differentially methylated genes are involved in many relevant oncologic pathways, including EGFR and antioxidant pathways, that may be a target for therapy or chemoprevention.

Indexed as

DNA MethylationGene Regulatory NetworksAgedAged, 80 and overCarcinoma, Transitional CellCell Line, TumorCystectomyEpigenomicsGene Expression ProfilingGene Expression Regulation, NeoplasticHumansMaleMiddle AgedPrognosisSequence Analysis, RNAUrinary Bladder NeoplasmsEpigeneticsIntegrative analysesUrothelial carcinoma

Identifiers

PMID29456764
PMCPMC5809922
OpenAlexW2794716730

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.