Evidence map›Paper›PMID 23319010›Full record

ArticleCancer2013

Combination of molecular alterations and smoking intensity predicts bladder cancer outcome: a report from the Los Angeles Cancer Surveillance Program.

Anirban P Mitra, Jose E Castelao, Debra Hawes, Denice D Tsao-Wei, Xuejuan Jiang, Shan-Rong Shi, Ram H Datar, Eila C Skinner, John P Stein, Susan Groshen and 5 more

Abstract read
In one paragraph

Article in Cancer, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed, 1 pooled it
5.2field-weighted citation impact, top 5% 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

16 citing papers in PubMed, 1 synthesis or guideline pooled it, 34 citations in OpenAlex.

  1. Pooled it
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  11. Understanding the molecular pathogenesis and prognostics of bladder cancer: an overview.Chinese journal of cancer research = Chung-kuo yen cheng yen chiu · 2016
    Review
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

15 authors at 3 institutions in 1 country.

Anirban P MitraDepartment of Pathology, University of Southern California, Los Angeles, California, USA.
Jose E Castelao
Debra Hawes
Denice D Tsao-Wei
Xuejuan Jiang
Shan-Rong Shi
Ram H Datar
Eila C Skinner
John P Stein
Susan Groshen
Mimi C Yu
Ronald K Ross
Donald G Skinner
Victoria K Cortessis
Richard J Cote
University of Southern California · USUniversity of Miami · USUPMC Hillman Cancer Center · US

Funding

Silencing of Apoptotic Pathways in TCC by DNA MethylationP01CA086871 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI JONES, PETER A · 2002 to 2006
$6.8M
MVAC IN ORGAN-CONFINED BLADDER CANCER BASED P53 STATUSR01CA071921 · NCI · YALE UNIVERSITY · PI COTE, RICHARD JAMES · 1997 to 2006
$3.0M
GENETIC &ENVIRONMENTAL RISK FACTORS FOR BLADDER CANCERR01CA065726 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI ROSS, RONALD K · 1995 to 2002
$393k
NCI NIH HHS CA-65726NCI NIH HHS CA-71921NCI NIH HHS CA-86871NCI NIH HHS P01 CA086871NCI NIH HHS R01 CA065726NCI NIH HHS R01 CA071921
6 · The paper itself

Abstract

backgroundTraditional single-marker and multimarker molecular profiling approaches in bladder cancer do not account for major risk factors and their influence on clinical outcome. This study examined the prognostic value of molecular alterations across all disease stages after accounting for clinicopathological factors and smoking, the most common risk factor for bladder cancer in the developed world, in a population-based cohort.

methodsPrimary bladder tumors from 212 cancer registry patients (median follow-up, 13.2 years) were immunohistochemically profiled for Bax, caspase-3, apoptotic protease-activating factor 1 (Apaf-1), Bcl-2, p53, p21, cyclooxygenase-2, vascular endothelial growth factor, and E-cadherin alterations. "Smoking intensity" quantified the impact of duration and daily frequency of smoking.

resultsAge, pathological stage, surgical modality, and adjuvant therapy administration were significantly associated with survival. Increasing smoking intensity was independently associated with worse outcome (P < .001). Apaf-1, E-cadherin, and p53 were prognostic for outcome (P = .005, .014, and .032, respectively); E-cadherin remained prognostic following multivariable analysis (P = .040). Combined alterations in all 9 biomarkers were prognostic by univariable (P < .001) and multivariable (P = .006) analysis. A multivariable model that included all 9 biomarkers and smoking intensity had greater accuracy in predicting prognosis than models composed of standard clinicopathological covariates without or with smoking intensity (P < .001 and P = .018, respectively).

conclusionsApaf-1, E-cadherin, and p53 alterations individually predicted survival in bladder cancer patients. Increasing number of biomarker alterations was significantly associated with worsening survival, although markers comprising the panel were not necessarily prognostic individually. Predictive value of the 9-biomarker panel with smoking intensity was significantly higher than that of routine clinicopathological parameters alone.

Indexed as

SmokingAgedApoptotic Protease-Activating Factor 1Biomarkers, TumorCadherinsCohort StudiesFollow-Up StudiesHumansLos AngelesMiddle AgedMultivariate AnalysisPredictive Value of TestsPrognosisRegistriesTreatment OutcomeTumor Suppressor Protein p53APAF1 protein, humanApoptotic Protease-Activating Factor 1Biomarkers, TumorCadherinsTumor Suppressor Protein p53

Identifiers

PMID23319010
PMCPMC3565093
OpenAlexW1973824645

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.