Evidence map›Paper›PMID 18843024›Full record

ArticleCancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology2008

Aberrant promoter methylation of multiple genes during pathogenesis of bladder cancer.

Mariana Brait, Shahnaz Begum, André L Carvalho, Santanu Dasgupta, André L Vettore, Bogdan Czerniak, Otávia L Caballero, William H Westra, David Sidransky, Mohammad Obaidul Hoque

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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, 2008. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 47 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
47citing papers in PubMed, 2 pooled it
2.9field-weighted citation impact, top 9% 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

47 citing papers in PubMed, 2 syntheses or guidelines pooled it, 82 citations in OpenAlex.

  1. Pooled it
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  7. CGRP: A New Endogenous Cell Stemness Maintenance Molecule.Oxidative medicine and cellular longevity · 2022
    Review
  8. Methylation-Mediated Silencing ofJournal of oncology · 2022
    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

10 authors at 3 institutions in 1 country.

Mariana BraitDepartment of Otolaryngology-Head and Neck Surgery, The Johns Hopkins University School of Medicine, 1550 Orleans Street, CRB II, 5M, Baltimore, MD 21231, USA.
Shahnaz Begum
André L Carvalho
Santanu Dasgupta
André L Vettore
Bogdan Czerniak
Otávia L Caballero
William H Westra
David Sidransky
Mohammad Obaidul Hoque
Johns Hopkins University · USLudwig Cancer Research · USThe University of Texas MD Anderson Cancer Center · US

Funding

INTEGRATED DEVELOPMENT OF NOVEL MOLECULAR MARKERSU01CA084986 · NCI · JOHNS HOPKINS UNIVERSITY · PI SIDRANSKY, DAVID · 1999 to 2014
$33.8M
NCI NIH HHS U01 CA084986NCI NIH HHS U01-CA84986
6 · The paper itself

Abstract

purposeThe aims of our study were to elucidate the role of methylation of a large panel of genes during multistage pathogenesis of bladder cancer and to correlate our findings with patient age and other clinicopathologic features. EXPERIMENTAL

designWe studied the methylation status of 21 genes by quantitative methylation-specific PCR in an evaluation set of 25 tumor and 5 normal samples. Based on methylation frequency in tumors and normals in gene evaluation set, we selected 7 candidate genes and tested an independent set of 93 tumors and 26 normals. The presence or absence of methylation was evaluated for an association with cancer using cross-tabulations and chi(2) or Fisher's exact tests as appropriate. All statistical tests were two-sided.

resultsMost primary tumors (89 of 93, 96%) had methylation of one or more genes of independent set; 53 (57%) CCNA1, 29 (31%) MINT1, 36 (39%) CRBP, 53 (57%) CCND2, 66 (71%) PGP9.5, 60 (65%) CALCA, and 78 (84%) AIM1. Normal uroepithelium samples from 26 controls revealed no methylation of the CCNA1 and MINT1 genes, whereas methylation of CRBP, CCND2, PGP9.5, and CALCA was detected at low levels. All the 7 genes in independent set were tightly correlated with each other and 3 of these genes showed increased methylation frequencies in bladder cancer with increasing age. PGP9.5 and AIM1 methylation correlated with primary tumor invasion.

conclusionOur results indicate that the methylation profile of novel genes in bladder cancers correlates with clinicopathologic features of poor prognosis and is an age-related phenomenon.

Indexed as

DNA MethylationAgedAnalysis of VarianceBiomarkers, TumorChi-Square DistributionFemaleHumansMaleMiddle AgedPolymerase Chain ReactionProportional Hazards ModelsUrinary Bladder NeoplasmsBiomarkers, Tumor

Identifiers

PMID18843024
PMCPMC2778751
OpenAlexW2157731375

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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.