Evidence map›Paper›PMID 29028944›Full record

ArticleCarcinogenesis2017

Identification and replication of the interplay of four genetic high-risk variants for urinary bladder cancer.

Silvia Selinski, Meinolf Blaszkewicz, Katja Ickstadt, Holger Gerullis, Thomas Otto, Emanuel Roth, Frank Volkert, Daniel Ovsiannikov, Oliver Moormann, Gergely Banfi and 15 more

Abstract read
In one paragraph

Article in Carcinogenesis, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed, 1 pooled it
–field-weighted citation impact
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

13 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. The impact of genetic variants in theFrontiers in endocrinology · 2022
    Article
  8. Additions.Deutsches Arzteblatt international · 2021
    Article
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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

25 authors.

Silvia SelinskiSystems Toxicology, Leibniz-Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Germany.
Meinolf BlaszkewiczSystems Toxicology, Leibniz-Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Germany.
Katja IckstadtFaculty of Statistics, TU Dortmund University, Germany.
Holger GerullisDepartment of Urology, Lukasklinik Neuss, Germany.
Thomas OttoDepartment of Urology, Lukasklinik Neuss, Germany.
Emanuel RothDepartment of Urology, Evangelic Hospital, Paul Gerhardt Foundation, Germany.
Frank VolkertDepartment of Urology, Evangelic Hospital, Paul Gerhardt Foundation, Germany.
Daniel OvsiannikovDepartment of Urology, St.-Josefs-Hospital, Germany.
Oliver MoormannDepartment of Urology, St.-Josefs-Hospital, Germany.
Gergely BanfiDepartment of Urology, Semmelweis University Budapest, Hungary.
Peter NyiradyDepartment of Urology, Semmelweis University Budapest, Hungary.
Sita H VermeulenDepartment for Health Evidence (133 HEV) and Department of Urology (659 URO), Radboud University Medical Center (Radboudumc), The Netherlands.
Montserrat Garcia-ClosasDivision of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute (NCI), National Institutes of Health (NIH), USA.
Jonine D FigueroaUsher Institute of Population Health Sciences and Informatics, CRUK Edinburgh Centre, University of Edinburgh, UK.
Alison JohnsonVermont Department of Health, Vermont Cancer Registry, USA.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, USA.
Manolis KogevinasCancer Program, ISGlobal, Centre for Research in Environmental Epidemiology (CREAL), Spain.
Nuria MalatsGenetic and Molecular Epidemiology Group, Spanish National Cancer Research Center (CNIO), Spain.
Molly SchwennMaine Department of Health and Human Services, Maine Cancer Registry, USA.
Debra T SilvermanDivision of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute (NCI), National Institutes of Health (NIH), USA.
Stella KoutrosDivision of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute (NCI), National Institutes of Health (NIH), USA.
Nathaniel RothmanDivision of Cancer Epidemiology and Genetics, Department of Health and Human Services, National Cancer Institute (NCI), National Institutes of Health (NIH), USA.
Lambertus A KiemeneyDepartment for Health Evidence (133 HEV) and Department of Urology (659 URO), Radboud University Medical Center (Radboudumc), The Netherlands.
Jan G HengstlerSystems Toxicology, Leibniz-Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Germany.
Klaus GolkaSystems Toxicology, Leibniz-Institut für Arbeitsforschung an der TU Dortmund, Leibniz Research Centre for Working Environment and Human Factors (IfADo), Germany.

Funding

NONMELANOMA SKIN CANCER IN NEW HAMPSHIRER01CA057494 · NCI · DARTMOUTH COLLEGE · PI KARAGAS, MARGARET RITA · 1993 to 2015
$10.9M
CGEMSZ01CP010187 · NCI · DIVISION OF CANCER EPIDEMIOLOGY AND GENETICS · PI HOOVER, ROBERT · 2005 to 2008
$783k
Intramural NIH HHS Z01 CP010187NCI NIH HHS R01 CA057494NCI NIH HHS Z01 CP010187
6 · The paper itself

Abstract

Little is known whether genetic variants identified in genome-wide association studies interact to increase bladder cancer risk. Recently, we identified two- and three-variant combinations associated with a particular increase of bladder cancer risk in a urinary bladder cancer case-control series (Leibniz Research Centre for Working Environment and Human Factors at TU Dortmund (IfADo), 1501 cases, 1565 controls). In an independent case-control series (Nijmegen Bladder Cancer Study, NBCS, 1468 cases, 1720 controls) we confirmed these two- and three-variant combinations. Pooled analysis of the two studies as discovery group (IfADo-NBCS) resulted in sufficient statistical power to test up to four-variant combinations by a logistic regression approach. The New England and Spanish Bladder Cancer Studies (2080 cases and 2167 controls) were used as a replication series. Twelve previously identified risk variants were considered. The strongest four-variant combination was obtained in never smokers. The combination of rs1014971[AA] near apolipoprotein B mRNA editing enzyme, catalytic polypeptide-like 3A (APOBEC3A) and chromobox homolog 6 (CBX6), solute carrier family 1s4 (urea transporter), member 1 (Kidd blood group) (SLC14A1) exon single nucleotide polymorphism (SNP) rs1058396[AG, GG], UDP glucuronosyltransferase 1 family, polypeptide A complex locus (UGT1A) intron SNP rs11892031[AA] and rs8102137[CC, CT] near cyclin E1 (CCNE1) resulted in an unadjusted odds ratio (OR) of 2.59 (95% CI = 1.93-3.47; P = 1.87 × 10-10), while the individual variant ORs ranged only between 1.11 and 1.30. The combination replicated in the New England and Spanish Bladder Cancer Studies (ORunadjusted = 1.60, 95% CI = 1.10-2.33; P = 0.013). The four-variant combination is relatively frequent, with 25% in never smoking cases and 11% in never smoking controls (total study group: 19% cases, 14% controls). In conclusion, we show that four high-risk variants can statistically interact to confer increased bladder cancer risk particularly in never smokers.

Indexed as

AdultAgedAged, 80 and overCase-Control StudiesFemaleGenetic Predisposition to DiseaseGenome-Wide Association StudyGenotypeHumansMaleMiddle AgedOdds RatioPolymorphism, Single NucleotideRisk FactorsUrinary Bladder NeoplasmsYoung Adult

Identifiers

PMID29028944
PMCPMC5862341

What OpenQuestion holds

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Read underepoch 390

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.