Evidence map›Paper›PMID 34964002›Full record

ArticleJCO precision oncology2021

Identification of Genetic Risk Factors for Familial Urinary Bladder Cancer: An Exome Sequencing Study.

Alexander Pemov, Talia Wegman-Ostrosky, Jung Kim, Stella Koutros, Brenna Douthitt, Kristine Jones, Bin Zhu, Dalsu Baris, Molly Schwenn, Alison Johnson and 12 more

Open access · hybridAbstract read
In one paragraph

Article in JCO precision oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed, 2 pooled it
2.1field-weighted citation impact, top 12% 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

12 citing papers in PubMed, 2 syntheses or guidelines pooled it, 18 citations in OpenAlex.

  1. Pooled it
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  3. International journal of molecular sciences · 2026
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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

22 authors at 6 institutions in 1 country.

Alexander PemovClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Talia Wegman-OstroskyClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Jung KimClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Stella KoutrosOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Brenna DouthittClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Kristine JonesFrederick National Laboratory for Cancer Research, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Bin ZhuFrederick National Laboratory for Cancer Research, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Rockville, MD.
Dalsu BarisOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Molly SchwennMaine Cancer Registry, Augusta, ME.
Alison JohnsonVermont Department of Health, Burlington, VT.
Margaret R KaragasDepartment of Epidemiology, Geisel School of Medicine at Dartmouth, Hanover, NH.
Brian D CarterDepartment of Population Science, American Cancer Society, Atlanta, GA.
Marjorie L McCulloughDepartment of Population Science, American Cancer Society, Atlanta, GA.
Maria Teresa LandiIntegrative Tumor Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Neal D FreedmanMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Demetrius AlbanesMetabolic Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Debra T SilvermanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Nathaniel RothmanOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Neil E CaporasoOccupational and Environmental Epidemiology Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Mark H GreeneClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Joseph F FraumeniOffice of the Director, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
Douglas R StewartClinical Genetics Branch, Division of Cancer Epidemiology and Genetics, National Cancer Institute, Bethesda, MD.
National Cancer Institute · USAmerican Cancer Society · USFrederick National Laboratory for Cancer Research · USDartmouth College · USOffice of the Director · USVermont Department of Health · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposePrevious studies have shown an approximately two-fold elevation in the relative risk of urinary bladder cancer (UBC) among people with a family history that could not be entirely explained by shared environmental exposures, thus suggesting a genetic component in its predisposition. Multiple genome-wide association studies and recent gene panel sequencing studies identified several genetic loci that are associated with UBC risk; however, the list of UBC-associated variants and genes is incomplete. MATERIALS AND

methodsWe exome sequenced eight patients from three multiplex UBC pedigrees and a group of 77 unrelated familial UBC cases matched to 241 cancer-free controls. In addition, we examined pathogenic germline variation in 444 candidate genes in 392 The Cancer Genome Atlas UBC cases.

resultsIn the pedigrees, segregating variants were family-specific although the identified genes clustered in common pathways, most notably DNA repair (

conclusionThese results point to a complex polygenic predisposition to UBC. Despite heterogeneity, the genes cluster in several biologically relevant pathways and processes, for example, DNA repair, cilia biogenesis, and cellular metabolism. Larger studies are required to determine the importance of

Indexed as

AgedExome SequencingFemaleGenetic Predisposition to DiseaseGenetic TestingHumansMaleMiddle AgedRisk FactorsUrinary Bladder Neoplasms

Identifiers

PMID34964002
PMCPMC8710334
OpenAlexW4200435180

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.