Literature DB >> 30254378

Population-based genetic testing of asymptomatic women for breast and ovarian cancer susceptibility.

Simone M Rowley1, Lyon Mascarenhas2, Lisa Devereux1,3, Na Li1,4, Kaushalya C Amarasinghe5, Magnus Zethoven5, Jue Er Amanda Lee1, Alexandra Lewis2, James A Morgan2, Sharne Limb2,6, Mary-Anne Young7, Paul A James2,4,8, Alison H Trainer2,4, Ian G Campbell9,10,11.   

Abstract

PURPOSE: The identification of carriers of hereditary breast and ovarian cancer (HBOC) gene variants through family cancer history alone is suboptimal, and most population-based genetic testing studies have been limited to founder mutations in high-risk populations. Here, we determine the clinical utility of identifying actionable variants in a healthy cohort of women.
METHODS: Germline DNA from a subset of healthy Australian women participating in the lifepool project was screened using an 11-gene custom sequencing panel. Women with clinically actionable results were invited to attend a familial cancer clinic (FCC) for post-test genetic counseling and confirmatory testing. Outcomes measured included the prevalence of pathogenic variants, and the uptake rate of genetic counseling, risk reduction surgery, and cascade testing.
RESULTS: Thirty-eight of 5908 women (0.64%) carried a clinically actionable pathogenic variant. Forty-two percent of pathogenic variant carriers did not have a first-degree relative with breast or ovarian cancer and 89% pursued referral to an FCC. Forty-six percent (6/13) of eligible women pursued risk reduction surgery, and the uptake rate of cascade testing averaged 3.3 family members per index case.
CONCLUSION: Within our cohort, HBOC genetic testing was well accepted, and the majority of high-risk gene carriers identified would not meet eligibility criteria for genetic testing based on their existing family history.

Entities:  

Keywords:  cancer risk reduction; familial cancer; hereditary breast and ovarian cancer; lifepool; population screening

Mesh:

Year:  2018        PMID: 30254378     DOI: 10.1038/s41436-018-0277-0

Source DB:  PubMed          Journal:  Genet Med        ISSN: 1098-3600            Impact factor:   8.822


  14 in total

1.  Interest in genetic testing and risk-reducing behavioral changes: results from a community health assessment in New York City.

Authors:  Sarah M Lima; Meaghan Nazareth; Karen M Schmitt; Andria Reyes; Elaine Fleck; Gary K Schwartz; Mary Beth Terry; Grace C Hillyer
Journal:  J Community Genet       Date:  2022-10-13

2.  BRCA1/2 pathogenic variants in triple-negative versus luminal-like breast cancers: genotype-phenotype correlation in a cohort of 531 patients.

Authors:  Lorena Incorvaia; Daniele Fanale; Marco Bono; Valentina Calò; Alessia Fiorino; Chiara Brando; Lidia Rita Corsini; Sofia Cutaia; Daniela Cancelliere; Alessia Pivetti; Clarissa Filorizzo; Maria La Mantia; Nadia Barraco; Stefania Cusenza; Giuseppe Badalamenti; Antonio Russo; Viviana Bazan
Journal:  Ther Adv Med Oncol       Date:  2020-12-16       Impact factor: 8.168

3.  My Research Results: a program to facilitate return of clinically actionable genomic research findings.

Authors:  Amanda M Willis; Bronwyn Terrill; Angela Pearce; Alison McEwen; Mandy L Ballinger; Mary-Anne Young
Journal:  Eur J Hum Genet       Date:  2021-10-04       Impact factor: 4.246

Review 4.  Population Based Testing for Primary Prevention: A Systematic Review.

Authors:  Ranjit Manchanda; Faiza Gaba
Journal:  Cancers (Basel)       Date:  2018-11-05       Impact factor: 6.639

5.  Population genomic screening of all young adults in a health-care system: a cost-effectiveness analysis.

Authors:  Lei Zhang; Yining Bao; Moeen Riaz; Jane Tiller; Danny Liew; Xun Zhuang; David J Amor; Aamira Huq; Lara Petelin; Mark Nelson; Paul A James; Ingrid Winship; John J McNeil; Paul Lacaze
Journal:  Genet Med       Date:  2019-02-18       Impact factor: 8.822

6.  Hereditary Breast and Ovarian Cancer in Families from Southern Italy (Sicily)-Prevalence and Geographic Distribution of Pathogenic Variants in BRCA1/2 Genes.

Authors:  Lorena Incorvaia; Daniele Fanale; Giuseppe Badalamenti; Marco Bono; Valentina Calò; Daniela Cancelliere; Marta Castiglia; Alessia Fiorino; Alessia Pivetti; Nadia Barraco; Sofia Cutaia; Antonio Russo; Viviana Bazan
Journal:  Cancers (Basel)       Date:  2020-05-05       Impact factor: 6.639

7.  Family history assessment significantly enhances delivery of precision medicine in the genomics era.

Authors:  Yasmin Bylstra; Weng Khong Lim; Sylvia Kam; Koei Wan Tham; R Ryanne Wu; Jing Xian Teo; Sonia Davila; Jyn Ling Kuan; Sock Hoai Chan; Nicolas Bertin; Cheng Xi Yang; Steve Rozen; Bin Tean Teh; Khung Keong Yeo; Stuart Alexander Cook; Saumya Shekhar Jamuar; Geoffrey S Ginsburg; Lori A Orlando; Patrick Tan
Journal:  Genome Med       Date:  2021-01-07       Impact factor: 11.117

8.  A functionally impaired missense variant identified in French Canadian families implicates FANCI as a candidate ovarian cancer-predisposing gene.

Authors:  Caitlin T Fierheller; Laure Guitton-Sert; Wejdan M Alenezi; Timothée Revil; Kathleen K Oros; Yuandi Gao; Karine Bedard; Suzanna L Arcand; Corinne Serruya; Supriya Behl; Liliane Meunier; Hubert Fleury; Eleanor Fewings; Deepak N Subramanian; Javad Nadaf; Jeffrey P Bruce; Rachel Bell; Diane Provencher; William D Foulkes; Zaki El Haffaf; Anne-Marie Mes-Masson; Jacek Majewski; Trevor J Pugh; Marc Tischkowitz; Paul A James; Ian G Campbell; Celia M T Greenwood; Jiannis Ragoussis; Jean-Yves Masson; Patricia N Tonin
Journal:  Genome Med       Date:  2021-12-03       Impact factor: 11.117

9.  Prevalence and Spectrum of Germline BRCA1 and BRCA2 Variants of Uncertain Significance in Breast/Ovarian Cancer: Mysterious Signals From the Genome.

Authors:  Daniele Fanale; Alessia Fiorino; Lorena Incorvaia; Alessandra Dimino; Clarissa Filorizzo; Marco Bono; Daniela Cancelliere; Valentina Calò; Chiara Brando; Lidia Rita Corsini; Roberta Sciacchitano; Luigi Magrin; Alessia Pivetti; Erika Pedone; Giorgio Madonia; Alessandra Cucinella; Giuseppe Badalamenti; Antonio Russo; Viviana Bazan
Journal:  Front Oncol       Date:  2021-06-11       Impact factor: 5.738

10.  The TP53 mutation rate differs in breast cancers that arise in women with high or low mammographic density.

Authors:  Kylie L Gorringe; Ian G Campbell; Dane Cheasley; Lisa Devereux; Siobhan Hughes; Carolyn Nickson; Pietro Procopio; Grant Lee; Na Li; Vicki Pridmore; Kenneth Elder; G Bruce Mann; Tanjina Kader; Simone M Rowley; Stephen B Fox; David Byrne; Hugo Saunders; Kenji M Fujihara; Belle Lim
Journal:  NPJ Breast Cancer       Date:  2020-08-07
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