Literature DB >> 26219241

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.

Nimmi S Kapoor1, Lisa D Curcio, Carlee A Blakemore, Amy K Bremner, Rachel E McFarland, John G West, Kimberly C Banks.   

Abstract

BACKGROUND: Recently introduced multigene panel testing including BRCA1 and BRCA2 genes for hereditary cancer risk has raised concerns with the ability to detect all deleterious BRCA1/2 mutations compared to older methods of sequentially testing BRCA1/2 separately. The purpose of this study was to evaluate rates of pathogenic BRCA1/2 mutations and variants of uncertain significance (VUS) between previous restricted algorithms of genetic testing and newer approaches of multigene testing.
METHODS: Data was collected retrospectively from 966 patients who underwent genetic testing at one of three sites from a single institution. Test results were compared between patients who underwent BRCA1/2 testing only (limited group, n = 629) to those who underwent multigene testing with 5-43 cancer-related genes (panel group, n = 337).
RESULTS: Deleterious BRCA1/2 mutations were identified in 37 patients, with equivalent rates between limited and panel groups (4.0 vs. 3.6%, respectively, p = 0.86). Thirty-nine patients had a BRCA1/2 VUS, with similar rates between limited and panel groups (4.5 vs. 3.3%, respectively, p = 0.49). On multivariate analysis, there was no difference in detection of either BRCA1/2 mutations or VUS between both groups. Of patients undergoing panel testing, an additional 3.9 % (n = 13) had non-BRCA pathogenic mutations and 13.4% (n = 45) had non-BRCA VUSs. Mutations in PALB2, CHEK2, and ATM were the most common non-BRCA mutations identified.
CONCLUSIONS: Multigene panel testing detects pathogenic BRCA1/2 mutations at equivalent rates as limited testing and increases the diagnostic yield. Panel testing increases the VUS rate, mainly as a result of non-BRCA genes. Patients at risk for hereditary breast cancer can safely benefit from up-front, more efficient, multigene panel testing.

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Year:  2015        PMID: 26219241     DOI: 10.1245/s10434-015-4754-2

Source DB:  PubMed          Journal:  Ann Surg Oncol        ISSN: 1068-9265            Impact factor:   5.344


  33 in total

1.  Increased yield of actionable mutations using multi-gene panels to assess hereditary cancer susceptibility in an ethnically diverse clinical cohort.

Authors:  Charité Ricker; Julie O Culver; Katrina Lowstuter; Duveen Sturgeon; Julia D Sturgeon; Christopher R Chanock; William J Gauderman; Kevin J McDonnell; Gregory E Idos; Stephen B Gruber
Journal:  Cancer Genet       Date:  2016-01-12

2.  Current condition of genetic medicine for hereditary breast cancer.

Authors:  Hiroko Terui-Kohbata; Masayuki Yoshida
Journal:  Mol Clin Oncol       Date:  2017-05-12

3.  Cancer Susceptibility Genetic Testing in a High-Risk Cohort of Urban Ashkenazi Jewish Individuals.

Authors:  Sarah M Nielsen; Lenika M De Simone; Olufunmilayo I Olopade
Journal:  J Genet Couns       Date:  2018-06-26       Impact factor: 2.537

Review 4.  How Far Do We Go With Genetic Evaluation? Gene, Panel, and Tumor Testing.

Authors:  Filipa Lynce; Claudine Isaacs
Journal:  Am Soc Clin Oncol Educ Book       Date:  2016

5.  Outcomes of retesting BRCA negative patients using multigene panels.

Authors:  Siddhartha Yadav; Ashley Reeves; Sarah Campian; Amy Paine; Dana Zakalik
Journal:  Fam Cancer       Date:  2017-07       Impact factor: 2.375

6.  Genomic Disparities in Breast Cancer Among Latinas.

Authors:  Filipa Lynce; Kristi D Graves; Lina Jandorf; Charite Ricker; Eida Castro; Laura Moreno; Bianca Augusto; Laura Fejerman; Susan T Vadaparampil
Journal:  Cancer Control       Date:  2016-10       Impact factor: 3.302

7.  Clinical interpretation of pathogenic ATM and CHEK2 variants on multigene panel tests: navigating moderate risk.

Authors:  Allison H West; Kathleen R Blazer; Jessica Stoll; Matthew Jones; Caroline M Weipert; Sarah M Nielsen; Sonia S Kupfer; Jeffrey N Weitzel; Olufunmilayo I Olopade
Journal:  Fam Cancer       Date:  2018-10       Impact factor: 2.375

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

Authors:  Mónica Alvarado; George E Tiller; Joanie Chung; Reina Haque
Journal:  J Community Genet       Date:  2020-02-24

Review 9.  The role of genomics in global cancer prevention.

Authors:  Ophira Ginsburg; Paul Brennan; Patricia Ashton-Prolla; Anna Cantor; Daniela Mariosa
Journal:  Nat Rev Clin Oncol       Date:  2020-09-24       Impact factor: 66.675

10.  Breast cancer screening implications of risk modeling among female relatives of ATM and CHEK2 carriers.

Authors:  Anne E Weidner; Mariel E Liggin; Brenda I Zuniga; Ann L Tezak; Georgia L Wiesner; Tuya Pal
Journal:  Cancer       Date:  2020-01-22       Impact factor: 6.860

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