Skip NavigationSkip to Content

Targeted Deep Sequencing of Bladder Tumors Reveals Novel Associations between Cancer Gene Mutations and Mutational Signatures with Major Risk Factors

  1. Author:
    Koutros, Stella
    Rao, Nina
    Moore, Lee E.
    Nickerson, Michael L.
    Lee, Donghyuk
    Zhu, Bin
    Pardo, Larissa A.
    Baris, Dalsu
    Schwenn, Molly
    Johnson, Alison
    Jones,Kristine
    Garcia-Closas, Montserrat
    Prokunina-Olsson, Ludmila
    Silverman, Debra T.
    Rothman, Nathaniel
    Dean,Michael
  2. Author Address

    NCI, Occupat & Environm Epidemiol Branch, Div Canc Epidemiol & Genet, NIH,Dept Hlth & Human Serv, Bethesda, MD 20892 USA.NCI, Lab Translat Genom, Div Canc Epidemiol & Genet, NIH,Dept Hlth & Human Serv, Bethesda, MD 20892 USA.NCI, Biostat Branch, Div Canc Epidemiol & Genet, NIH,Dept Hlth & Human Serv, Bethesda, MD 20892 USA.Maine Canc Registry, Augusta, ME USA.Vermont Dept Hlth, Burlington, VT 05402 USA.Leidos Biomed Res Inc, NCI, Canc Genom Res Lab, Div Canc Epidemiol & Genet, Bethesda, MD USA.NCI, Off Director, Div Canc Epidemiol & Genet, NIH,Dept Hlth & Human Serv, Bethesda, MD 20892 USA.
    1. Year: 2021
    2. Date: Jul
  1. Journal: CLINICAL CANCER RESEARCH
  2. AMER ASSOC CANCER RESEARCH,
    1. 27
    2. 13
    3. Pages: 3725-3733
  3. Type of Article: Article
  4. ISSN: 1078-0432
  1. Abstract:

    Purpose: Exome- and whole-genome sequencing of muscle-invasive bladder cancer has revealed important insights into the molecular landscape; however, there are few studies of non-muscle-invasive bladder cancer with detailed risk factor information. Experimental design: We examined the relationship between smoking and other bladder cancer risk factors and somatic mutations and mutational signatures in bladder tumors. Targeted sequencing of frequently mutated genes in bladder cancer was conducted in 322 formalin-fixed paraffin-embedded bladder tumors from a population-based case-control study. Logistic regression was used to calculate odds ratios (OR) and 95% confidence intervals (CI), evaluating mutations and risk factors. We used SignatureEstimation to extract four known single base substitution mutational signatures and Poisson regression to calculate risk ratios (RR) and 95% CIs, evaluating signatures and risk factors. Results: Non-silent KDM6A mutations were more common in females than males (OR = 1.83; 95% CI, 1.05-3.19). There was striking heterogeneity in the relationship between smoking status and established single base substitution signatures: current smoking status was associated with greater ERCC2-Signature mutations compared with former (P = 0.024) and never smoking (RR = 1.40; 95% CI, 1.09-1.80; P = 0.008), former smoking was associated with greater APOBEC-Signature13 mutations (P = 0.05), and never smoking was associated with greater APOBEC-Signature2 mutations (RR = 1.54; 95% CI, 1.17-2.01; P = 0.002). There was evidence that smoking duration (the component most strongly associated with bladder cancer risk) was associated with ERCC2-Signature mutations and APOBEC-Signature13 mutations among current (P trend = 0.005) and former smokers (P = 0.0004), respectively. Conclusions: These data quantify the contribution of bladder cancer risk factors to mutational burden and suggest different signature enrichments among never, former, and current smokers.

    See More

External Sources

  1. DOI: 10.1158/1078-0432.CCR-20-4419
  2. PMID: 33849962
  3. PMCID: PMC8254772
  4. WOS: 000670550600027

Library Notes

  1. Fiscal Year: FY2020-2021
NCI at Frederick

You are leaving a government website.

This external link provides additional information that is consistent with the intended purpose of this site. The government cannot attest to the accuracy of a non-federal site.

Linking to a non-federal site does not constitute an endorsement by this institution or any of its employees of the sponsors or the information and products presented on the site. You will be subject to the destination site's privacy policy when you follow the link.

ContinueCancel