Literature DB >> 26207792

A Systematic Comparison of Traditional and Multigene Panel Testing for Hereditary Breast and Ovarian Cancer Genes in More Than 1000 Patients.

Stephen E Lincoln1, Yuya Kobayashi2, Michael J Anderson2, Shan Yang2, Andrea J Desmond3, Meredith A Mills4, Geoffrey B Nilsen2, Kevin B Jacobs2, Federico A Monzon2, Allison W Kurian4, James M Ford4, Leif W Ellisen5.   

Abstract

Gene panels for hereditary breast and ovarian cancer risk assessment are gaining acceptance, even though the clinical utility of these panels is not yet fully defined. Technical questions remain, however, about the performance and clinical interpretation of gene panels in comparison with traditional tests. We tested 1105 individuals using a 29-gene next-generation sequencing panel and observed 100% analytical concordance with traditional and reference data on >750 comparable variants. These 750 variants included technically challenging classes of sequence and copy number variation that together represent a significant fraction (13.4%) of the pathogenic variants observed. For BRCA1 and BRCA2, we also compared variant interpretations in traditional reports to those produced using only non-proprietary resources and following criteria based on recent (2015) guidelines. We observed 99.8% net report concordance, albeit with a slightly higher variant of uncertain significance rate. In 4.5% of BRCA-negative cases, we uncovered pathogenic variants in other genes, which appear clinically relevant. Previously unseen variants requiring interpretation accumulated rapidly, even after 1000 individuals had been tested. We conclude that next-generation sequencing panel testing can provide results highly comparable to traditional testing and can uncover potentially actionable findings that may be otherwise missed. Challenges remain for the broad adoption of panel tests, some of which will be addressed by the accumulation of large public databases of annotated clinical variants.
Copyright © 2015 American Society for Investigative Pathology and the Association for Molecular Pathology. Published by Elsevier Inc. All rights reserved.

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Year:  2015        PMID: 26207792     DOI: 10.1016/j.jmoldx.2015.04.009

Source DB:  PubMed          Journal:  J Mol Diagn        ISSN: 1525-1578            Impact factor:   5.568


  75 in total

1.  Detection of high frequency of mutations in a breast and/or ovarian cancer cohort: implications of embracing a multi-gene panel in molecular diagnosis in India.

Authors:  Ashraf U Mannan; Jaya Singh; Ravikiran Lakshmikeshava; Nishita Thota; Suhasini Singh; T S Sowmya; Avshesh Mishra; Aditi Sinha; Shivani Deshwal; Megha R Soni; Anbukayalvizhi Chandrasekar; Bhargavi Ramesh; Bharat Ramamurthy; Shila Padhi; Payal Manek; Ravi Ramalingam; Suman Kapoor; Mithua Ghosh; Satish Sankaran; Arunabha Ghosh; Vamsi Veeramachaneni; Preveen Ramamoorthy; Ramesh Hariharan; Kalyanasundaram Subramanian
Journal:  J Hum Genet       Date:  2016-02-25       Impact factor: 3.172

2.  A TOP2A-derived cancer panel drives cancer progression in papillary renal cell carcinoma.

Authors:  Mushi Ye; Zhuobin He; Wei Dai; Zhuo Li; Xiaojun Chen; Jianjun Liu
Journal:  Oncol Lett       Date:  2018-07-19       Impact factor: 2.967

3.  Rapid and cost-effective high-throughput sequencing for identification of germline mutations of BRCA1 and BRCA2.

Authors:  Somayeh Ahmadloo; Hirofumi Nakaoka; Takahide Hayano; Kazuyoshi Hosomichi; Hua You; Emi Utsuno; Takafumi Sangai; Motoi Nishimura; Kazuyuki Matsushita; Akira Hata; Fumio Nomura; Ituro Inoue
Journal:  J Hum Genet       Date:  2017-02-09       Impact factor: 3.172

4.  Factors Associated with Interest in Gene-Panel Testing and Risk Communication Preferences in Women from BRCA1/2 Negative Families.

Authors:  Kristina G Flores; Laurie E Steffen; Christopher J McLouth; Belinda E Vicuña; Amanda Gammon; Wendy Kohlmann; Lucretia Vigil; Zoneddy R Dayao; Melanie E Royce; Anita Y Kinney
Journal:  J Genet Couns       Date:  2016-08-06       Impact factor: 2.537

Review 5.  Family-Specific Variants and the Limits of Human Genetics.

Authors:  Brian H Shirts; Colin C Pritchard; Tom Walsh
Journal:  Trends Mol Med       Date:  2016-10-11       Impact factor: 11.951

6.  DATA SHARING AND REPRODUCIBLE CLINICAL GENETIC TESTING: SUCCESSES AND CHALLENGES.

Authors:  Shan Yang; Melissa Cline; Can Zhang; Benedict Paten; Stephen E Lincoln
Journal:  Pac Symp Biocomput       Date:  2017

7.  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

8.  Association of Breast and Ovarian Cancers With Predisposition Genes Identified by Large-Scale Sequencing.

Authors:  Hsiao-Mei Lu; Shuwei Li; Mary Helen Black; Shela Lee; Robert Hoiness; Sitao Wu; Wenbo Mu; Robert Huether; Jefferey Chen; Srijani Sridhar; Yuan Tian; Rachel McFarland; Jill Dolinsky; Brigette Tippin Davis; Sharon Mexal; Charles Dunlop; Aaron Elliott
Journal:  JAMA Oncol       Date:  2019-01-01       Impact factor: 31.777

9.  Frequency of mutations in BRCA genes and other candidate genes in high-risk probands or probands with breast or ovarian cancer in the Czech Republic.

Authors:  P Riedlova; J Janoutova; B Hermanova
Journal:  Mol Biol Rep       Date:  2020-03-16       Impact factor: 2.316

Review 10.  Counselling framework for moderate-penetrance cancer-susceptibility mutations.

Authors:  Nadine Tung; Susan M Domchek; Zsofia Stadler; Katherine L Nathanson; Fergus Couch; Judy E Garber; Kenneth Offit; Mark E Robson
Journal:  Nat Rev Clin Oncol       Date:  2016-06-14       Impact factor: 66.675

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