Literature DB >> 20616022

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

Tom Walsh1, Ming K Lee, Silvia Casadei, Anne M Thornton, Sunday M Stray, Christopher Pennil, Alex S Nord, Jessica B Mandell, Elizabeth M Swisher, Mary-Claire King.   

Abstract

Inherited loss-of-function mutations in the tumor suppressor genes BRCA1, BRCA2, and multiple other genes predispose to high risks of breast and/or ovarian cancer. Cancer-associated inherited mutations in these genes are collectively quite common, but individually rare or even private. Genetic testing for BRCA1 and BRCA2 mutations has become an integral part of clinical practice, but testing is generally limited to these two genes and to women with severe family histories of breast or ovarian cancer. To determine whether massively parallel, "next-generation" sequencing would enable accurate, thorough, and cost-effective identification of inherited mutations for breast and ovarian cancer, we developed a genomic assay to capture, sequence, and detect all mutations in 21 genes, including BRCA1 and BRCA2, with inherited mutations that predispose to breast or ovarian cancer. Constitutional genomic DNA from subjects with known inherited mutations, ranging in size from 1 to >100,000 bp, was hybridized to custom oligonucleotides and then sequenced using a genome analyzer. Analysis was carried out blind to the mutation in each sample. Average coverage was >1200 reads per base pair. After filtering sequences for quality and number of reads, all single-nucleotide substitutions, small insertion and deletion mutations, and large genomic duplications and deletions were detected. There were zero false-positive calls of nonsense mutations, frameshift mutations, or genomic rearrangements for any gene in any of the test samples. This approach enables widespread genetic testing and personalized risk assessment for breast and ovarian cancer.

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Year:  2010        PMID: 20616022      PMCID: PMC2906584          DOI: 10.1073/pnas.1007983107

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  33 in total

1.  Large genomic deletions and duplications in the BRCA1 gene identified by a novel quantitative method.

Authors:  Frans B L Hogervorst; Petra M Nederlof; Johan J P Gille; Cathal J McElgunn; Maartje Grippeling; Roelof Pruntel; Rein Regnerus; Tibor van Welsem; Resie van Spaendonk; Fred H Menko; Irma Kluijt; Charlotte Dommering; Senno Verhoef; Jan P Schouten; Laura J van't Veer; Gerard Pals
Journal:  Cancer Res       Date:  2003-04-01       Impact factor: 12.701

2.  Cancer risk in mutation carriers of DNA-mismatch-repair genes.

Authors:  M Aarnio; R Sankila; E Pukkala; R Salovaara; L A Aaltonen; A de la Chapelle; P Peltomäki; J P Mecklin; H J Järvinen
Journal:  Int J Cancer       Date:  1999-04-12       Impact factor: 7.396

3.  Pretest prediction of BRCA1 or BRCA2 mutation by risk counselors and the computer model BRCAPRO.

Authors:  David M Euhus; Kristin C Smith; Linda Robinson; Amy Stucky; Olufunmilayo I Olopade; Shelly Cummings; Judy E Garber; Anu Chittenden; Gordon B Mills; Paula Rieger; Laura Esserman; Beth Crawford; Kevin S Hughes; Connie A Roche; Patricia A Ganz; Joyce Seldon; Carol J Fabian; Jennifer Klemp; Gail Tomlinson
Journal:  J Natl Cancer Inst       Date:  2002-06-05       Impact factor: 13.506

4.  Germline mutations in PTEN are an infrequent cause of genetic predisposition to breast cancer.

Authors:  M G FitzGerald; D J Marsh; D Wahrer; D Bell; S Caron; K E Shannon; C Ishioka; K J Isselbacher; J E Garber; C Eng; D A Haber
Journal:  Oncogene       Date:  1998-08-13       Impact factor: 9.867

5.  Breast and ovarian cancer risks due to inherited mutations in BRCA1 and BRCA2.

Authors:  Mary-Claire King; Joan H Marks; Jessica B Mandell
Journal:  Science       Date:  2003-10-24       Impact factor: 47.728

6.  Sequence analysis of BRCA1 and BRCA2: correlation of mutations with family history and ovarian cancer risk.

Authors:  T S Frank; S A Manley; O I Olopade; S Cummings; J E Garber; B Bernhardt; K Antman; D Russo; M E Wood; L Mullineau; C Isaacs; B Peshkin; S Buys; V Venne; P T Rowley; S Loader; K Offit; M Robson; H Hampel; D Brener; E P Winer; S Clark; B Weber; L C Strong; A Thomas
Journal:  J Clin Oncol       Date:  1998-07       Impact factor: 44.544

7.  Specific killing of BRCA2-deficient tumours with inhibitors of poly(ADP-ribose) polymerase.

Authors:  Helen E Bryant; Niklas Schultz; Huw D Thomas; Kayan M Parker; Dan Flower; Elena Lopez; Suzanne Kyle; Mark Meuth; Nicola J Curtin; Thomas Helleday
Journal:  Nature       Date:  2005-04-14       Impact factor: 69.504

8.  A standardized framework for the validation and verification of clinical molecular genetic tests.

Authors:  Christopher J Mattocks; Michael A Morris; Gert Matthijs; Elfriede Swinnen; Anniek Corveleyn; Els Dequeker; Clemens R Müller; Victoria Pratt; Andrew Wallace
Journal:  Eur J Hum Genet       Date:  2010-07-28       Impact factor: 4.246

9.  Model-based analysis of oligonucleotide arrays: model validation, design issues and standard error application.

Authors:  C Li; W Hung Wong
Journal:  Genome Biol       Date:  2001-08-03       Impact factor: 13.583

10.  Targeting the DNA repair defect in BRCA mutant cells as a therapeutic strategy.

Authors:  Hannah Farmer; Nuala McCabe; Christopher J Lord; Andrew N J Tutt; Damian A Johnson; Tobias B Richardson; Manuela Santarosa; Krystyna J Dillon; Ian Hickson; Charlotte Knights; Niall M B Martin; Stephen P Jackson; Graeme C M Smith; Alan Ashworth
Journal:  Nature       Date:  2005-04-14       Impact factor: 69.504

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  204 in total

Review 1.  Impact of germline and somatic BRCA1/2 mutations: tumor spectrum and detection platforms.

Authors:  H Wu; X Wu; Z Liang
Journal:  Gene Ther       Date:  2017-08-03       Impact factor: 5.250

Review 2.  Hereditary breast and ovarian cancer: new genes, new treatments, new concepts.

Authors:  Alfons Meindl; Nina Ditsch; Karin Kast; Kerstin Rhiem; Rita K Schmutzler
Journal:  Dtsch Arztebl Int       Date:  2011-05-13       Impact factor: 5.594

Review 3.  Genetics for the general internist.

Authors:  Christina M Laukaitis
Journal:  Am J Med       Date:  2011-11-11       Impact factor: 4.965

Review 4.  Linkage analysis in the next-generation sequencing era.

Authors:  Joan E Bailey-Wilson; Alexander F Wilson
Journal:  Hum Hered       Date:  2011-12-23       Impact factor: 0.444

5.  Next-generation sequencing for cancer diagnostics: a practical perspective.

Authors:  Cliff Meldrum; Maria A Doyle; Richard W Tothill
Journal:  Clin Biochem Rev       Date:  2011-11

6.  Detection of inherited mutations for hereditary cancer using target enrichment and next generation sequencing.

Authors:  Yanfang Guan; Hong Hu; Yin Peng; Yuhua Gong; Yuting Yi; Libin Shao; Tengfei Liu; Gairui Li; Rongjiao Wang; Pingping Dai; Yves-Jean Bignon; Zhe Xiao; Ling Yang; Feng Mu; Liang Xiao; Zeming Xie; Wenhui Yan; Nan Xu; Dongxian Zhou; Xin Yi
Journal:  Fam Cancer       Date:  2015-03       Impact factor: 2.375

Review 7.  Next-generation sequencing for the diagnosis of hereditary pheochromocytoma and paraganglioma syndromes.

Authors:  Rodrigo A Toledo; Patricia L M Dahia
Journal:  Curr Opin Endocrinol Diabetes Obes       Date:  2015-06       Impact factor: 3.243

8.  Mutations in 12 genes for inherited ovarian, fallopian tube, and peritoneal carcinoma identified by massively parallel sequencing.

Authors:  Tom Walsh; Silvia Casadei; Ming K Lee; Christopher C Pennil; Alex S Nord; Anne M Thornton; Wendy Roeb; Kathy J Agnew; Sunday M Stray; Anneka Wickramanayake; Barbara Norquist; Kathryn P Pennington; Rochelle L Garcia; Mary-Claire King; Elizabeth M Swisher
Journal:  Proc Natl Acad Sci U S A       Date:  2011-10-17       Impact factor: 11.205

9.  Genetic Predisposition to Breast Cancer Due to Mutations Other Than BRCA1 and BRCA2 Founder Alleles Among Ashkenazi Jewish Women.

Authors:  Tom Walsh; Jessica B Mandell; Barbara M Norquist; Silvia Casadei; Suleyman Gulsuner; Ming K Lee; Mary-Claire King
Journal:  JAMA Oncol       Date:  2017-12-01       Impact factor: 31.777

10.  Establishment of Patient-Derived Tumor Xenograft Models of Epithelial Ovarian Cancer for Preclinical Evaluation of Novel Therapeutics.

Authors:  Joyce F Liu; Sangeetha Palakurthi; Qing Zeng; Shan Zhou; Elena Ivanova; Wei Huang; Ioannis K Zervantonakis; Laura M Selfors; Yiping Shen; Colin C Pritchard; Mei Zheng; Vilmos Adleff; Eniko Papp; Huiying Piao; Marian Novak; Susan Fotheringham; Gerburg M Wulf; Jessie English; Paul T Kirschmeier; Victor E Velculescu; Cloud Paweletz; Gordon B Mills; David M Livingston; Joan S Brugge; Ursula A Matulonis; Ronny Drapkin
Journal:  Clin Cancer Res       Date:  2016-08-29       Impact factor: 12.531

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