Evidence map›Paper›PMID 22645715›Full record

ArticleFrontiers in oncology2012

Xenobiotic metabolizing gene variants and renal cell cancer: a multicenter study.

Julia E Heck, Lee E Moore, Yuan-Chin A Lee, James D McKay, Rayjean J Hung, Sara Karami, Valérie Gaborieau, Neonila Szeszenia-Dabrowska, David G Zaridze, Anush Mukeriya and 9 more

Open access · goldAbstract read
In one paragraph

Article in Frontiers in oncology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

6 citing papers in PubMed, 10 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

19 authors at 11 institutions in 6 countries.

Julia E HeckInternational Agency for Research on Cancer Lyon, France.
Lee E Moore
Yuan-Chin A Lee
James D McKay
Rayjean J Hung
Sara Karami
Valérie Gaborieau
Neonila Szeszenia-Dabrowska
David G Zaridze
Anush Mukeriya
Dana Mates
Lenka Foretova
Vladimir Janout
Helena Kollárová
Vladimir Bencko
Nathaniel Rothman
Paul Brennan
Wong-Ho Chow
Paolo Boffetta
Centre International de Recherche sur le Cancer · FRDivision of Cancer Epidemiology and GeneticsNational Cancer Institute · USPalacký University Olomouc · CZRussian Cancer Research Center NN Blokhin · RUCharles University · CZInternational Prevention Research Institute · FRMasaryk Memorial Cancer Institute · CZMount Sinai Hospital · CANofer Institute of Occupational Medicine · PLUniversity of Utah · US

Funding

UCLA Career Development Program in Cancer Prevention and Control ResearchR25CA087949 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI BASTANI, ROSHAN · 2000 to 2014
$6.8M
GENETICS OF TOBACCO AND ALCOHOL RELATED CANCERSR01CA092039 · NCI · INTERNATIONAL AGENCY FOR RES ON CANCER · PI BRENNAN, PAUL JOSEPH · 2003 to 2010
$3.6M
NCI NIH HHS R01 CA092039NCI NIH HHS R25 CA087949
6 · The paper itself

Abstract

backgroundThe countries of Central and Eastern Europe have among the highest worldwide rates of renal cell cancer (RCC). Few studies have examined whether genetic variation in xenobiotic metabolic pathway genes may modify risk for this cancer.

methodsThe Central and Eastern Europe Renal Cell Cancer study was a hospital-based case-control study conducted between 1998 and 2003 across seven centers in Central and Eastern Europe. Detailed data were collected from 874 cases and 2053 controls on demographics, work history, and occupational exposure to chemical agents. Genes [cytochrome P-450 family, N-acetyltransferases, NAD(P)H: quinone oxidoreductase I (NQO1), microsomal epoxide hydrolase (mEH), catechol-O-methyltransferase (COMT), uridine diphosphate-glucuronosyltransferase (UGT)] were selected for the present analysis based on their putative role in xenobiotic metabolism. Haplotypes were calculated using fastPhase. Odds ratios and 95% confidence intervals were estimated by unconditional logistic regression adjusted for country of residence, age, sex, smoking, alcohol intake, obesity, and hypertension.

resultsWe observed an increased risk of RCC with one SNP. After adjustment for multiple comparisons it did not remain significant. Neither NAT1 nor NAT2 slow acetylation was associated with disease.

conclusionWe observed no association between this pathway and renal cell cancer.

Indexed as

COMTCYPepidemiologymEHNAT1NAT2NQO1renal cell cancer

Identifiers

PMID22645715
PMCPMC3355831
OpenAlexW2129240520

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.