Evidence map›Paper›PMID 28889375›Full record

ArticleMethods in molecular biology (Clifton, N.J.)2018

A Versatile Assay for Detection of Aberrant DNA Methylation in Bladder Cancer.

Stella Tommasi, Ahmad Besaratinia

Abstract read
In one paragraph

Article in Methods in molecular biology (Clifton, N.J.), 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. 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

2 authors at 1 institution in 1 country.

Stella TommasiDepartment of Preventive Medicine, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA, 90033, USA. tommasi@med.usc.edu.
Ahmad BesaratiniaDepartment of Preventive Medicine, USC Keck School of Medicine, University of Southern California, M/C 9603, Los Angeles, CA, 90033, USA.
University of Southern California · US

Funding

Genetic epigenetic & transcripotomic effects of e-cig aerosol on oral epitheliumR01DE026043 · NIDCR · UNIVERSITY OF SOUTHERN CALIFORNIA · PI BESARATINIA, AHMAD · 2016 to 2019
$1.6M
NIDCR NIH HHS R01 DE026043
6 · The paper itself

Abstract

Urothelial carcinoma of the bladder is one of the most common malignancies in the industrialized world, mainly caused by smoking and occupational exposure to chemicals. The favorable prognosis of early stage bladder cancer underscores the importance of early detection for the treatment of this disease. The high recurrence rate of this malignancy also highlights the need for close post-diagnosis monitoring of bladder cancer patients. As for other malignancies, aberrant DNA methylation has been shown to play a crucial role in the initiation and progression of bladder cancer, and thus holds great promise as a diagnostic and prognostic biological marker. Here, we describe a protocol for a versatile DNA methylation enrichment method, the Methylated CpG Island Recovery Assay (MIRA), which enables analysis of the DNA methylation status in individual genes or across the entire genome. MIRA is based on the ability of the methyl-binding domain (MBD) proteins, the MBD2B/MBD3L1 complex, to specifically bind methylated CpG dinucleotides. This easy-to-perform method can be used to analyze the methylome of bladder cancer or urothelial cells shed in the urine to elucidate the evolution of bladder carcinogenesis and/or identify epigenetic signatures of chemicals known to cause this malignancy.

Indexed as

DNA MethylationBiomarkers, TumorCpG IslandsDNA-Binding ProteinsEpigenomicsHumansRecombinant Fusion ProteinsUrinary Bladder NeoplasmsBiomarkers, TumorDNA-Binding ProteinsRecombinant Fusion ProteinsAromatic aminesBiomarkersEpigeneticsMethyl-binding domain (MBD) proteinsTobacco smokeUrine

Identifiers

PMID28889375
PMCPMC6340640
OpenAlexW2755784460

What OpenQuestion holds

Textmetadata
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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.