Skip to main content

Advertisement

Log in

Prevalence of mutations in a diverse cohort of 3162 women tested via the same multigene cancer panel in a managed care health plan

  • Original Article
  • Published:
Journal of Community Genetics Aims and scope Submit manuscript

Abstract

Advances in gene sequencing of mutations related to hereditary cancers have enabled expansion of this testing to patients cared for in community clinics. Our goal was to report on the prevalence of pathogenic/likely pathogenic variants (PV/LPV) and the distribution of mutations by cancer history in a diverse cohort. We evaluated 3162 women in a large non-profit health plan who were referred for cancer genetic counseling and tested them via the same multigene cancer panel. We examined the pathogenic variant/likely pathogenic variant (PV/LPV) prevalence for 20 genes by clinical factors, demographics, and personal or family cancer history. We calculated adjusted odds ratios for the association between race/ethnicity and mutation results. The majority of women (65.4%) were referred post-breast or ovarian cancer diagnosis. The overall prevalence of any PV/LPV result was 11.7%. Overall, nearly 5.4% had BRCA1/2 mutations, while 6.3% had at least one mutation in non-BRCA genes. In the subset with any PV/LPV result, 55.0% of the total mutations were in non-BRCA genes. The distribution of mutations was similar in those with or without a personal cancer history. Latina women were somewhat less likely to have mutations in non-BRCA genes implicated with breast cancer (OR = 0.55, 95% CI 0.36–0.87). Given that 55.0% of the PV/LPV results were in genes other than BRCA1/2, regardless personal or family cancer history, the study suggests that multigene cancer panel testing may be appropriate for detecting germline mutations in a high-risk cohort in a managed care or public health setting.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1
Fig. 2

Similar content being viewed by others

References

  • Beitsch PD, Whitworth PW, Hughes K, Patel R, Rosen B, Compagnoni G, Baron P, Simmons R, Smith LA, Grady I, Kinney M, Coomer C, Barbosa K, Holmes DR, Brown E, Gold L, Clark P, Riley L, Lyons S, Ruiz A, Kahn S, MacDonald H, Curcio L, Hardwick MK, Yang S, Esplin ED, Nussbaum RL (2019) Underdiagnosis of hereditary breast cancer: are genetic testing guidelines: a tool or an obstacle? J Clin Oncol 37(6):453–460

    Article  Google Scholar 

  • Desmond A, Kurian AW, Gabree M, Mills MA, Anderson MJ, Kobayashi Y et al (2015) Clinical actionability of multigene panel testing for hereditary breast and ovarian cancer risk assessment. JAMA Oncol 1:943–951

    Article  Google Scholar 

  • Easton DF, Pharoah PD, Antoniou AC, Tischkowitz M, Tavtigian SV, Nathanson KL, Devilee P, Meindl A, Couch FJ, Southey M, Goldgar DE, Evans DG, Chenevix-Trench G, Rahman N, Robson M, Domchek SM, Foulkes WD (2015) Gene-panel sequencing and the prediction of breast-cancer risk. N Engl J Med 372:2243–2257

    Article  CAS  Google Scholar 

  • Hall JM, Lee MK, Newman B, Morrow JE, Anderson LA, Huey B, King MC (1990) Linkage of early-onset familial breast cancer to chromosome 17q21. Science 250:1684–1689

    Article  CAS  Google Scholar 

  • Kapoor NS, Curcio LD, Blakemore CA, Bremner AK, McFarland RE, West JG et al (2015) Multigene panel testing detects equal rates of pathogenic BRCA1/2 mutations and has a higher diagnostic yield compared to limited BRCA1/2 analysis alone in patients at risk for hereditary breast cancer. Ann Surg Oncol 22:3282–3288

    Article  Google Scholar 

  • Kurian AW, Hare EE, Mills MA, Kingham KE, McPherson L, Whittemore AS, McGuire V, Ladabaum U, Kobayashi Y, Lincoln SE, Cargill M, Ford JM (2014) Clinical evaluation of a multiple-gene sequencing panel for hereditary cancer risk assessment. J Clin Oncol 32:2001–2009

    Article  CAS  Google Scholar 

  • LaDuca H, Stuenkel AJ, Dolinsky JS, Keiles S, Tandy S, Pesaran T et al (2014) Utilization of multigene panels in hereditary cancer predisposition testing: analysis of more than 2,000 patients. Genet Med 6:830–837

    Article  Google Scholar 

  • Mauer CB, Pirzadeh-Miller SM, Robinson LD, Euhus DM (2014) The integration of next-generation sequencing panels in the clinical cancer genetics practice: an institutional experience. Genet Med 6:407–412

    Article  Google Scholar 

  • National Comprehensive Cancer Network (2019). https://www.nccn.org/professionals/physician_gls/default.aspx#genetics_screening. Accessed December 1, 2019

  • Norquist BM, Swisher EM (2015) More genes, more problems? Benefits and risks of multiplex genetic testing. Gynecol Oncol 139:209–210

    Article  Google Scholar 

  • Ricker C, Culver JO, Lowstuter K, Sturgeon D, Sturgeon JD, Chanock CR, Gauderman WJ, McDonnell K, Idos GE, Gruber SB (2016) Increased yield of actionable mutations using multi-gene panels to assess hereditary cancer susceptibility in an ethnically diverse clinical cohort. Cancer Genet 209:130–137

    Article  CAS  Google Scholar 

  • Tung N, Battelli C, Allen B, Kaldate R, Bhatnagar S, Bowles K et al (2015) Frequency of mutations in individuals with breast cancer referred for BRCA1 and BRCA2 testing using next-generation sequencing with a 25-gene panel. Cancer 121:25–33

    Article  CAS  Google Scholar 

  • Yorczyk A, Robinson LS, Ross TS (2015) Use of panel tests in place of single gene tests in the cancer genetics clinic. Clin Genet 88:278–282

    Article  CAS  Google Scholar 

Download references

Acknowledgments

The authors thank Xiaoqing Xu for assistance with programming.

Funding

This study was funded by Kaiser Permanente Southern California, Department of Research & Evaluation.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Reina Haque.

Ethics declarations

Conflict of interest

Kaiser Permanente Southern California (KPSC) received a grant from GeneDx to support conference travel for Mónica Alvarado, MS LCGC and Reina Haque, PhD.

George E. Tiller, MD PhD and Joanie Chung, MPH declare no conflict of interest.

Ethical approval

The study was reviewed and approved by the KPSC Internal Review Board. All procedures followed the standards of the KPSC IRB and with the 1975 Helsinki Declaration, and its later amendments or comparable ethical standards. The KPSC IRB waived informed written consent for this observational data-only study.

Additional information

Publisher’s note

Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Alvarado, M., Tiller, G.E., Chung, J. et al. Prevalence of mutations in a diverse cohort of 3162 women tested via the same multigene cancer panel in a managed care health plan. J Community Genet 11, 359–366 (2020). https://doi.org/10.1007/s12687-020-00456-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12687-020-00456-6

Keywords

Navigation