Evidence map›Paper›PMID 21586619›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2011

Detection of bladder cancer using novel DNA methylation biomarkers in urine sediments.

Woonbok Chung, Jolanta Bondaruk, Jaroslav Jelinek, Yair Lotan, Shoudan Liang, Bogdan Czerniak, Jean-Pierre J Issa

Open access · greenAbstract read
In one paragraph

Article in Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 92 papers.

0numbers the graph read from it
0cells of the map it votes in
92citing papers in PubMed
12.4field-weighted citation impact, top 1% 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

92 citing papers in PubMed, 167 citations in OpenAlex.

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  18. Combination Analysis ofJournal of Korean medical science · 2024
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  20. Review

32 more citing papers are in PubMed but not listed here.

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

7 authors at 2 institutions in 1 country.

Woonbok ChungDepartment of Leukemia, The University of Texas MD Anderson Cancer Center, Houston, TX 77030, USA. wchung@mdanderson.org
Jolanta Bondaruk
Jaroslav Jelinek
Yair Lotan
Shoudan Liang
Bogdan Czerniak
Jean-Pierre J Issa
The University of Texas MD Anderson Cancer Center · USThe University of Texas Southwestern Medical Center · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Scott Kopetz · 1985 to 2026
$290.8M
Targeting Ral GTPases in Bladder CancerP50CA091846 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI DINNEY, COLIN P.N., MCCONKEY, DAVID J. · 2001 to 2018
$37.4M
EARLY DETECTION OF URINARY BLADDER CANCERU01CA085078 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CZERNIAK, BOGDAN A · 1999 to 2009
$6.1M
Aurora Kinase A as a Biomarker for the Detection of Bladder CancerR01CA151489 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CZERNIAK, BOGDAN A · 2010 to 2013
$1.6M
Genome-wide Identification of Minor Histocompatibility AntigensK25CA123344 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LIANG, SHOUDAN · 2008 to 2012
$734k
NCI NIH HHS 1R01 CA151489NCI NIH HHS CA16672NCI NIH HHS K25 CA123344NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA091846NCI NIH HHS P50 CA91846NCI NIH HHS R01 CA151489NCI NIH HHS U01 CA085078NCI NIH HHS U01 CA 85078
6 · The paper itself

Abstract

backgroundBladder cancer (BCa) remains a lethal malignancy that can be cured if detected early. DNA hypermethylation is a common epigenetic abnormality in cancer that may serve as a marker of disease activity.

methodsWe selected 10 novel candidate genes from the most frequently hypermethylated genes detected by DNA microarray and bisulfite pyrosequencing of bladder cancers and applied them to detect bladder cancer in urine sediments. We analyzed DNA methylation in the candidate genes by quantitative methylation-specific real-time PCR (qMSP) to detect bladder cancer in urine sediments from 128 bladder cancer patients and 110 age-matched control subjects.

resultsBased on a multigene predictive model, we discovered 6 methylation markers (MYO3A, CA10, SOX11, NKX6-2, PENK, and DBC1) as most promising for detecting bladder cancer. A panel of 4 genes (MYO3A, CA10, NKX6-2, and DBC1 or SOX11) had 81% sensitivity and 97% specificity, whereas a panel of 5 genes (MYO3A, CA10, NKX6-2, DBC1, and SOX11 or PENK) had 85% sensitivity and 95% specificity for detection of bladder cancer (area under curve = 0.939). By analyzing the data by cancer invasiveness, detection rate was 47 of 58 (81%) in non-muscle invasive tumors (pTa, Tis, and pT1) and 62 of 70 (90%) in muscle invasive tumors (T2, T3, and T4).

conclusionsThis biomarker panel analyzed by qMSP may help the early detection of bladder tumors in urine sediments with high accuracy. IMPACT: The panel of biomarker deserves validation in a large well-controlled prospectively collected sample set.

Indexed as

Biomarkers, TumorDNA MethylationEarly Detection of CancerFemaleHumansMaleReverse Transcriptase Polymerase Chain ReactionSensitivity and SpecificityUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID21586619
PMCPMC3132294
OpenAlexW2105992849

What OpenQuestion holds

Textmetadata
LicenceTDM
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.