Literature DB >> 31517176

Genetic Testing and Clinical Management Practices for Variants in Non-BRCA1/2 Breast (and Breast/Ovarian) Cancer Susceptibility Genes: An International Survey by the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) Clinical Working Group.

Sarah M Nielsen1, Diana M Eccles2, Iris L Romero1, Fahd Al-Mulla3, Judith Balmaña4, Michela Biancolella5, Rien Bslok6, Maria Adelaide Caligo7, Mariarosaria Calvello8, Gabriele Lorenzo Capone9, Pietro Cavalli10, T L Chris Chan11, Kathleen B M Claes12, Laura Cortesi13, Fergus J Couch14, Miguel de la Hoya15, Simona De Toffol16, Orland Diez4, Susan M Domchek17, Ros Eeles18, Anna Efremidis19, Florentia Fostira20, David Goldgar21, Andreas Hadjisavvas22, Thomas V O Hansen23, Akira Hirasawa24, Claude Houdayer25, Petra Kleiblova26, Sophie Krieger27, Conxi Lázaro28, Maria Loizidou22, Siranoush Manoukian29, Arjen R Mensenkamp30, Setareh Moghadasi31, Alvaro N Monteiro32, Luigi Mori33, April Morrow34, Nadia Naldi35, Henriette R Nielsen36, Olufunmilayo I Olopade1, Nicholas S Pachter37, Edenir I Palmero38, Inge S Pedersen39, Maria Piane40, Marianna Puzzo41, Mark Robson42, Maria Rossing23, Maria Christina Sini43, Angela Solano44, Jana Soukupova26, Gianluca Tedaldi45, Manuel Teixeira46, Mads Thomassen36, Maria Grazia Tibiletti47, Amanda Toland48, Therese Törngren49, Erica Vaccari50, Liliana Varesco51, Ana Vega52, Yvonne Wallis53, Barbara Wappenschmidt54, Jeffrey Weitzel55, Amanda B Spurdle56, Arcangela De Nicolo57, Encarna B Gómez-García6.   

Abstract

PURPOSE: To describe a snapshot of international genetic testing practices, specifically regarding the use of multigene panels, for hereditary breast/ovarian cancers. We conducted a survey through the Evidence-Based Network for the Interpretation of Germline Mutant Alleles (ENIGMA) consortium, covering questions about 16 non-BRCA1/2 genes.
METHODS: Data were collected via in-person and paper/electronic surveys. ENIGMA members from around the world were invited to participate. Additional information was collected via country networks in the United Kingdom and in Italy.
RESULTS: Responses from 61 cancer genetics practices across 20 countries showed that 16 genes were tested by > 50% of the centers, but only six (PALB2, TP53, PTEN, CHEK2, ATM, and BRIP1) were tested regularly. US centers tested the genes most often, whereas United Kingdom and Italian centers with no direct ENIGMA affiliation at the time of the survey were the least likely to regularly test them. Most centers tested the 16 genes through multigene panels; some centers tested TP53, PTEN, and other cancer syndrome-associated genes individually. Most centers reported (likely) pathogenic variants to patients and would test family members for such variants. Gene-specific guidelines for breast and ovarian cancer risk management were limited and differed among countries, especially with regard to starting age and type of imaging and risk-reducing surgery recommendations.
CONCLUSION: Currently, a small number of genes beyond BRCA1/2 are routinely analyzed worldwide, and management guidelines are limited and largely based on expert opinion. To attain clinical implementation of multigene panel testing through evidence-based management practices, it is paramount that clinicians (and patients) participate in international initiatives that share panel testing data, interpret sequence variants, and collect prospective data to underpin risk estimates and evaluate the outcome of risk intervention strategies.

Entities:  

Year:  2018        PMID: 31517176      PMCID: PMC6742430          DOI: 10.1200/PO.18.00091

Source DB:  PubMed          Journal:  JCO Precis Oncol        ISSN: 2473-4284


  26 in total

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2.  Multiplex genetic testing for cancer susceptibility: out on the high wire without a net?

Authors:  Susan M Domchek; Angela Bradbury; Judy E Garber; Kenneth Offit; Mark E Robson
Journal:  J Clin Oncol       Date:  2013-03-04       Impact factor: 44.544

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4.  Detection of inherited mutations for breast and ovarian cancer using genomic capture and massively parallel sequencing.

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5.  Frequency and spectrum of cancers in the Peutz-Jeghers syndrome.

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6.  Lifetime cancer risks in individuals with germline PTEN mutations.

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Journal:  Clin Cancer Res       Date:  2012-01-15       Impact factor: 12.531

7.  LOVD v.2.0: the next generation in gene variant databases.

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Journal:  Hum Mutat       Date:  2011-02-22       Impact factor: 4.878

8.  Next-generation sequencing for the diagnosis of hereditary breast and ovarian cancer using genomic capture targeting multiple candidate genes.

Authors:  Laurent Castéra; Sophie Krieger; Antoine Rousselin; Angélina Legros; Jean-Jacques Baumann; Olivia Bruet; Baptiste Brault; Robin Fouillet; Nicolas Goardon; Olivier Letac; Stéphanie Baert-Desurmont; Julie Tinat; Odile Bera; Catherine Dugast; Pascaline Berthet; Florence Polycarpe; Valérie Layet; Agnes Hardouin; Thierry Frébourg; Dominique Vaur
Journal:  Eur J Hum Genet       Date:  2014-02-19       Impact factor: 4.246

9.  Clinical evaluation of a multiple-gene sequencing panel for hereditary cancer risk assessment.

Authors:  Allison W Kurian; Emily E Hare; Meredith A Mills; Kerry E Kingham; Lisa McPherson; Alice S Whittemore; Valerie McGuire; Uri Ladabaum; Yuya Kobayashi; Stephen E Lincoln; Michele Cargill; James M Ford
Journal:  J Clin Oncol       Date:  2014-04-14       Impact factor: 44.544

10.  Sequence variant classification and reporting: recommendations for improving the interpretation of cancer susceptibility genetic test results.

Authors:  Sharon E Plon; Diana M Eccles; Douglas Easton; William D Foulkes; Maurizio Genuardi; Marc S Greenblatt; Frans B L Hogervorst; Nicoline Hoogerbrugge; Amanda B Spurdle; Sean V Tavtigian
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

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  7 in total

Review 1.  Epithelial Ovarian Cancer: Providing Evidence of Predisposition Genes.

Authors:  Sidrah Shah; Alison Cheung; Mikolaj Kutka; Matin Sheriff; Stergios Boussios
Journal:  Int J Environ Res Public Health       Date:  2022-07-01       Impact factor: 4.614

2.  Clinical Impact of Pathogenic Variants in DNA Damage Repair Genes beyond BRCA1 and BRCA2 in Breast and Ovarian Cancer Patients.

Authors:  Whitney Espinel; Marjan Champine; Heather Hampel; Joanne Jeter; Kevin Sweet; Robert Pilarski; Rachel Pearlman; Kate Shane; Pamela Brock; Judith A Westman; Lindsay Kipnis; Jilliane Sotelo; Anu Chittenden; Samantha Culver; Jill E Stopfer; Katherine A Schneider; Rosalba Sacca; Diane R Koeller; Shraddha Gaonkar; Erica Vaccari; Sarah Kane; Scott T Michalski; Shan Yang; Sarah M Nielsen; Sara L Bristow; Stephen E Lincoln; Robert L Nussbaum; Edward D Esplin
Journal:  Cancers (Basel)       Date:  2022-05-13       Impact factor: 6.575

3.  Familial pancreatic cancer with PALB2 and NBN pathogenic variants: a case report.

Authors:  Kodai Abe; Arisa Ueki; Yusaku Urakawa; Minoru Kitago; Tomoko Yoshihama; Yoshiko Nanki; Yuko Kitagawa; Daisuke Aoki; Kenjiro Kosaki; Akira Hirasawa
Journal:  Hered Cancer Clin Pract       Date:  2021-01-07       Impact factor: 2.857

4.  A catalog of curated breast cancer genes.

Authors:  Jan Benada; Jayashree Vijay Thatte; Muthiah Bose; Savvas Kinalis; Bent Ejlertsen; Finn Cilius Nielsen; Claus Storgaard Sørensen; Maria Rossing
Journal:  Breast Cancer Res Treat       Date:  2021-11-10       Impact factor: 4.872

5.  Mainstream genetic testing for breast cancer patients: early experiences from the Parkville Familial Cancer Centre.

Authors:  Catherine Beard; Katrina Monohan; Linda Cicciarelli; Paul A James
Journal:  Eur J Hum Genet       Date:  2021-03-15       Impact factor: 5.351

Review 6.  Secondary Prevention in Hereditary Breast and/or Ovarian Cancer Syndromes Other Than BRCA.

Authors:  Claudia Piombino; Laura Cortesi; Matteo Lambertini; Kevin Punie; Giovanni Grandi; Angela Toss
Journal:  J Oncol       Date:  2020-07-14       Impact factor: 4.375

Review 7.  Genetic Predisposition to Breast and Ovarian Cancers: How Many and Which Genes to Test?

Authors:  Davide Angeli; Samanta Salvi; Gianluca Tedaldi
Journal:  Int J Mol Sci       Date:  2020-02-08       Impact factor: 5.923

  7 in total

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