Literature DB >> 33113089

Under-ascertainment of breast cancer susceptibility gene carriers in a cohort of New Zealand female breast cancer patients.

Vanessa Lattimore1, Michael T Parsons2, Amanda B Spurdle2, John Pearson3, Klaus Lehnert4, Jan Sullivan5, Caroline Lintott5, Suzannah Bawden5, Helen Morrin6,7, Bridget Robinson6,8, Logan Walker6.   

Abstract

BACKGROUND: Diagnostic screening for pathogenic variants in breast cancer susceptibility genes, including BRCA1, BRCA2, PALB2, PTEN and TP53, may be offered to New Zealanders from suspected high-risk breast (and ovarian) cancer families. However, it is unknown how many high-risk pathogenic variant carriers in New Zealand are not offered genetic screening using existing triage tools and guidelines for breast (and ovarian) cancer patients.
METHODS: Panel-gene sequencing of the coding and non-coding regions of the BRCA1 and BRCA2 genes, and the coding regions and splice sites of CDH1, PALB2, PTEN and TP53, was undertaken for an unselected cohort of 367 female breast cancer patients. A total of 1685 variants were evaluated using the ENIGMA and the ACMG/AMP variant classification guidelines.
RESULTS: Our study identified that 13 (3.5%) breast cancer patients carried a pathogenic or likely pathogenic variant in BRCA1, BRCA2, PALB2, or PTEN. A significantly higher number of pathogenic variant carriers had grade 3 tumours (10/13) when compared to non-carriers; however, no other clinicopathological characteristics were found to be significantly different between (likely) pathogenic variant carriers and non-carriers, nor between variant of unknown significance carriers and non-carriers. Notably, 46% of the identified (likely) pathogenic variant carriers had not been referred for a genetic assessment and consideration of genetic testing.
CONCLUSION: Our study shows a potential under-ascertainment of women carrying a (likely) pathogenic variant in a high-risk breast cancer susceptibility gene. These results suggest that further research into testing pathways for New Zealand breast cancer patients may be required to reduce the impact of hereditary cancer syndromes for these individuals and their families.

Entities:  

Keywords:  Breast cancer; New Zealand; Panel gene; Variant classification

Mesh:

Substances:

Year:  2020        PMID: 33113089      PMCID: PMC7921023          DOI: 10.1007/s10549-020-05986-8

Source DB:  PubMed          Journal:  Breast Cancer Res Treat        ISSN: 0167-6806            Impact factor:   4.872


  32 in total

1.  Prevalence and spectrum of germline rare variants in BRCA1/2 and PALB2 among breast cancer cases in Sarawak, Malaysia.

Authors:  Xiaohong R Yang; Beena C R Devi; Hyuna Sung; Jennifer Guida; Eliseos J Mucaki; Yanzi Xiao; Ana Best; Lisa Garland; Yi Xie; Nan Hu; Maria Rodriguez-Herrera; Chaoyu Wang; Kristine Jones; Wen Luo; Belynda Hicks; Tieng Swee Tang; Karobi Moitra; Peter K Rogan; Michael Dean
Journal:  Breast Cancer Res Treat       Date:  2017-06-29       Impact factor: 4.872

2.  REVEL: An Ensemble Method for Predicting the Pathogenicity of Rare Missense Variants.

Authors:  Nilah M Ioannidis; Joseph H Rothstein; Vikas Pejaver; Sumit Middha; Shannon K McDonnell; Saurabh Baheti; Anthony Musolf; Qing Li; Emily Holzinger; Danielle Karyadi; Lisa A Cannon-Albright; Craig C Teerlink; Janet L Stanford; William B Isaacs; Jianfeng Xu; Kathleen A Cooney; Ethan M Lange; Johanna Schleutker; John D Carpten; Isaac J Powell; Olivier Cussenot; Geraldine Cancel-Tassin; Graham G Giles; Robert J MacInnis; Christiane Maier; Chih-Lin Hsieh; Fredrik Wiklund; William J Catalona; William D Foulkes; Diptasri Mandal; Rosalind A Eeles; Zsofia Kote-Jarai; Carlos D Bustamante; Daniel J Schaid; Trevor Hastie; Elaine A Ostrander; Joan E Bailey-Wilson; Predrag Radivojac; Stephen N Thibodeau; Alice S Whittemore; Weiva Sieh
Journal:  Am J Hum Genet       Date:  2016-09-22       Impact factor: 11.025

3.  ENIGMA--evidence-based network for the interpretation of germline mutant alleles: an international initiative to evaluate risk and clinical significance associated with sequence variation in BRCA1 and BRCA2 genes.

Authors:  Amanda B Spurdle; Sue Healey; Andrew Devereau; Frans B L Hogervorst; Alvaro N A Monteiro; Katherine L Nathanson; Paolo Radice; Dominique Stoppa-Lyonnet; Sean Tavtigian; Barbara Wappenschmidt; Fergus J Couch; David E Goldgar
Journal:  Hum Mutat       Date:  2011-11-03       Impact factor: 4.878

4.  Gene panel sequencing in familial breast/ovarian cancer patients identifies multiple novel mutations also in genes others than BRCA1/2.

Authors:  Cornelia Kraus; Juliane Hoyer; Georgia Vasileiou; Marius Wunderle; Michael P Lux; Peter A Fasching; Mandy Krumbiegel; Steffen Uebe; Miriam Reuter; Matthias W Beckmann; André Reis
Journal:  Int J Cancer       Date:  2016-09-23       Impact factor: 7.396

5.  Cost-effectiveness of Population-Based BRCA1, BRCA2, RAD51C, RAD51D, BRIP1, PALB2 Mutation Testing in Unselected General Population Women.

Authors:  Ranjit Manchanda; Shreeya Patel; Vladimir S Gordeev; Antonis C Antoniou; Shantel Smith; Andrew Lee; John L Hopper; Robert J MacInnis; Clare Turnbull; Susan J Ramus; Simon A Gayther; Paul D P Pharoah; Usha Menon; Ian Jacobs; Rosa Legood
Journal:  J Natl Cancer Inst       Date:  2018-07-01       Impact factor: 13.506

6.  Stage of breast cancer at diagnosis in New Zealand: impacts of socio-demographic factors, breast cancer screening and biology.

Authors:  Sanjeewa Seneviratne; Ross Lawrenson; Vernon Harvey; Reena Ramsaroop; Mark Elwood; Nina Scott; Diana Sarfati; Ian Campbell
Journal:  BMC Cancer       Date:  2016-02-19       Impact factor: 4.430

7.  A plugin for the Ensembl Variant Effect Predictor that uses MaxEntScan to predict variant spliceogenicity.

Authors:  Jannah Shamsani; Stephen H Kazakoff; Irina M Armean; Will McLaren; Michael T Parsons; Bryony A Thompson; Tracy A O'Mara; Sarah E Hunt; Nicola Waddell; Amanda B Spurdle
Journal:  Bioinformatics       Date:  2019-07-01       Impact factor: 6.937

8.  Risks of Breast, Ovarian, and Contralateral Breast Cancer for BRCA1 and BRCA2 Mutation Carriers.

Authors:  Karoline B Kuchenbaecker; John L Hopper; Daniel R Barnes; Kelly-Anne Phillips; Thea M Mooij; Marie-José Roos-Blom; Sarah Jervis; Flora E van Leeuwen; Roger L Milne; Nadine Andrieu; David E Goldgar; Mary Beth Terry; Matti A Rookus; Douglas F Easton; Antonis C Antoniou; Lesley McGuffog; D Gareth Evans; Daniel Barrowdale; Debra Frost; Julian Adlard; Kai-Ren Ong; Louise Izatt; Marc Tischkowitz; Ros Eeles; Rosemarie Davidson; Shirley Hodgson; Steve Ellis; Catherine Nogues; Christine Lasset; Dominique Stoppa-Lyonnet; Jean-Pierre Fricker; Laurence Faivre; Pascaline Berthet; Maartje J Hooning; Lizet E van der Kolk; Carolien M Kets; Muriel A Adank; Esther M John; Wendy K Chung; Irene L Andrulis; Melissa Southey; Mary B Daly; Saundra S Buys; Ana Osorio; Christoph Engel; Karin Kast; Rita K Schmutzler; Trinidad Caldes; Anna Jakubowska; Jacques Simard; Michael L Friedlander; Sue-Anne McLachlan; Eva Machackova; Lenka Foretova; Yen Y Tan; Christian F Singer; Edith Olah; Anne-Marie Gerdes; Brita Arver; Håkan Olsson
Journal:  JAMA       Date:  2017-06-20       Impact factor: 56.272

9.  Combined genetic and splicing analysis of BRCA1 c.[594-2A>C; 641A>G] highlights the relevance of naturally occurring in-frame transcripts for developing disease gene variant classification algorithms.

Authors:  Miguel de la Hoya; Omar Soukarieh; Irene López-Perolio; Ana Vega; Logan C Walker; Yvette van Ierland; Diana Baralle; Marta Santamariña; Vanessa Lattimore; Juul Wijnen; Philip Whiley; Ana Blanco; Michela Raponi; Jan Hauke; Barbara Wappenschmidt; Alexandra Becker; Thomas V O Hansen; Raquel Behar; KConFaB Investigators; Diether Niederacher; Norbert Arnold; Bernd Dworniczak; Doris Steinemann; Ulrike Faust; Wendy Rubinstein; Peter J Hulick; Claude Houdayer; Sandrine M Caputo; Laurent Castera; Tina Pesaran; Elizabeth Chao; Carole Brewer; Melissa C Southey; Christi J van Asperen; Christian F Singer; Jan Sullivan; Nicola Poplawski; Phuong Mai; Julian Peto; Nichola Johnson; Barbara Burwinkel; Harald Surowy; Stig E Bojesen; Henrik Flyger; Annika Lindblom; Sara Margolin; Jenny Chang-Claude; Anja Rudolph; Paolo Radice; Laura Galastri; Janet E Olson; Emily Hallberg; Graham G Giles; Roger L Milne; Irene L Andrulis; Gord Glendon; Per Hall; Kamila Czene; Fiona Blows; Mitul Shah; Qin Wang; Joe Dennis; Kyriaki Michailidou; Lesley McGuffog; Manjeet K Bolla; Antonis C Antoniou; Douglas F Easton; Fergus J Couch; Sean Tavtigian; Maaike P Vreeswijk; Michael Parsons; Huong D Meeks; Alexandra Martins; David E Goldgar; Amanda B Spurdle
Journal:  Hum Mol Genet       Date:  2016-03-23       Impact factor: 6.150

10.  BOADICEA: a comprehensive breast cancer risk prediction model incorporating genetic and nongenetic risk factors.

Authors:  Andrew Lee; Nasim Mavaddat; Amber N Wilcox; Alex P Cunningham; Tim Carver; Simon Hartley; Chantal Babb de Villiers; Angel Izquierdo; Jacques Simard; Marjanka K Schmidt; Fiona M Walter; Nilanjan Chatterjee; Montserrat Garcia-Closas; Marc Tischkowitz; Paul Pharoah; Douglas F Easton; Antonis C Antoniou
Journal:  Genet Med       Date:  2019-01-15       Impact factor: 8.822

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