Evidence map›Paper›PMID 28321693›Full record

ArticleCancer causes & control : CCC2017

Age at diagnosis, obesity, smoking, and molecular subtypes in muscle-invasive bladder cancer.

Xuezheng Sun, Katherine A Hoadley, William Y Kim, Helena Furberg, Andrew F Olshan, Melissa A Troester

Abstract read
In one paragraph

Article in Cancer causes & control : CCC, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing papers in PubMed
2.2field-weighted citation impact, top 13% 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

9 citing papers in PubMed, 22 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.

Xuezheng SunDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Suite 32, CVS Plaza, 137 East Franklin Street, CB#8050, Chapel Hill, NC, 27599, USA. amysun@email.unc.edu.
Katherine A HoadleyLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
William Y KimLineberger Comprehensive Cancer Center, University of North Carolina at Chapel Hill, Chapel Hill, NC, USA.
Helena FurbergDepartment of Epidemiology and Biostatistics, Memorial Sloan Kettering Cancer Center, New York, NY, USA.
Andrew F OlshanDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Suite 32, CVS Plaza, 137 East Franklin Street, CB#8050, Chapel Hill, NC, 27599, USA.
Melissa A TroesterDepartment of Epidemiology, Gillings School of Global Public Health, University of North Carolina at Chapel Hill, Suite 32, CVS Plaza, 137 East Franklin Street, CB#8050, Chapel Hill, NC, 27599, USA.
University of North Carolina at Chapel Hill · USMemorial Sloan Kettering Cancer Center · US

Funding

Virology Research Program (Program 4)P30CA016086 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Deborah F. Tate · 1985 to 2026
$201.5M
UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
NCI NIH HHS P30 CA016086NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

backgroundHeterogeneity of muscle-invasive bladder cancer (MIBC) has been characterized using whole-genome mRNA expression data, showing distinct molecular and clinicopathological characteristics by subtypes. However, associations between risk factors and molecular subtypes have not been reported.

methodsFour previously published schemes were used to categorize molecular subtypes in 372 MIBC patients from the Cancer Genome Atlas (TCGA). Data on gene expression (RNA-seq), demographic, and clinicopathological characteristics were retrieved through TCGA data portal. Polytomous logistic regression was used to estimate the associations of subtypes by different schemes with age at diagnosis, obesity, and smoking.

resultsWhile some quantitative variation was evident, distinct molecular subtype schemes showed considerable consistency in the association with the risk factors. Generally, compared to patients with luminal-like tumors, patients with basal-like subtypes were more likely to be older (OR

conclusionsDifferent molecular subtypes of MIBC may have distinct risk profiles. Large population-based studies with detailed information on bladder cancer risk factors are needed to further define etiologic heterogeneity for bladder cancer.

Indexed as

AdultAgedAge of OnsetFemaleHumansMaleMiddle AgedMuscle, SmoothObesityRisk FactorsSmokingUrinary Bladder NeoplasmsAgeMolecular subtypeMuscle-invasive bladder cancerObesitySmoking

Identifiers

PMID28321693
PMCPMC5477976
OpenAlexW2597746171

What OpenQuestion holds

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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.