Literature DB >> 18375895

Clinical classification of BRCA1 and BRCA2 DNA sequence variants: the value of cytokeratin profiles and evolutionary analysis--a report from the kConFab Investigators.

Amanda B Spurdle1, Sunil R Lakhani, Sue Healey, Suzanne Parry, Leonard M Da Silva, Ross Brinkworth, John L Hopper, Melissa A Brown, Davit Babikyan, Georgia Chenevix-Trench, Sean V Tavtigian, David E Goldgar.   

Abstract

PURPOSE: Rare missense substitutions and in-frame deletions of BRCA1 and BRCA2 genes present a challenge for genetic counseling of individuals carrying such unclassified variants. We assessed the value of tumor immunohistochemical markers in conjunction with genetic and evolutionary approaches for investigating the clinical significance of unclassified variants. PATIENTS AND METHODS: We studied 10 BRCA1 and 12 BRCA2 variants identified in Australian families with breast cancer. Analyses assumed a prior probability based on revised cross-species sequence alignment methods assessing amino acid evolutionary conservation and position, combined with likelihoods from data on co-occurrence with pathogenic mutations in the same gene, segregation analysis, and immunohistochemistry. We specifically explored the value of estrogen receptor, cytokeratin 5/6, and cytokeratin 14 as tumor markers of BRCA1 mutation status.
RESULTS: Posterior probabilities classified 72% of variants. BRCA1 variants IVS18+1 G>T (del exon 18) and 5632 T >A (V1838E) were classified as pathogenic, with >99% posterior probability of being deleterious, and tumor histopathology was particularly important for their classification. BRCA2 variant classification was improved over previous studies, largely by incorporating the prior probability of pathogenicity based on amino acid cross-species sequence alignments.
CONCLUSION: Variant classification was considerably improved by analysis of estrogen receptor, cytokeratin 5/6, and cytokeratin 14 tumor expression, and use of updated methods estimating the clinical relevance of amino acid evolutionary conservation and position. These methodologies may assist genetic counseling of individuals with unclassified sequence variants.

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Year:  2008        PMID: 18375895     DOI: 10.1200/JCO.2007.13.2779

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN: 0732-183X            Impact factor:   44.544


  41 in total

1.  LOH analysis should not be used as a tool to assess whether UVs of BRCA1/2 are pathogenic or not.

Authors:  E Beristain; I Guerra; N Vidaurrazaga; J Burgos-Bretones; M I Tejada
Journal:  Fam Cancer       Date:  2010-09       Impact factor: 2.375

2.  Identification of a rare germline NBN gene mutation by whole exome sequencing in a lung-cancer survivor from a large family with various types of cancer.

Authors:  Makia J Marafie; Mohammed Dashti; Fahd Al-Mulla
Journal:  Fam Cancer       Date:  2017-07       Impact factor: 2.375

3.  In silico analysis of missense substitutions using sequence-alignment based methods.

Authors:  Sean V Tavtigian; Marc S Greenblatt; Fabienne Lesueur; Graham B Byrnes
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

4.  Tumor characteristics as an analytic tool for classifying genetic variants of uncertain clinical significance.

Authors:  Robert M W Hofstra; Amanda B Spurdle; Diana Eccles; William D Foulkes; Niels de Wind; Nicoline Hoogerbrugge; Frans B L Hogervorst
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

5.  Assessing pathogenicity: overview of results from the IARC Unclassified Genetic Variants Working Group.

Authors:  Sean V Tavtigian; Marc S Greenblatt; David E Goldgar; Paolo Boffetta
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

6.  Genetic evidence and integration of various data sources for classifying uncertain variants into a single model.

Authors:  David E Goldgar; Douglas F Easton; Graham B Byrnes; Amanda B Spurdle; Edwin S Iversen; Marc S Greenblatt
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

7.  Classification of rare missense substitutions, using risk surfaces, with genetic- and molecular-epidemiology applications.

Authors:  Sean V Tavtigian; Graham B Byrnes; David E Goldgar; Alun Thomas
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

8.  Locus-specific databases and recommendations to strengthen their contribution to the classification of variants in cancer susceptibility genes.

Authors:  Marc S Greenblatt; Lawrence C Brody; William D Foulkes; Maurizio Genuardi; Robert M W Hofstra; Magali Olivier; Sharon E Plon; Rolf H Sijmons; Olga Sinilnikova; Amanda B Spurdle
Journal:  Hum Mutat       Date:  2008-11       Impact factor: 4.878

9.  Clinically applicable models to characterize BRCA1 and BRCA2 variants of uncertain significance.

Authors:  Andrew D Spearman; Kevin Sweet; Xiao-Ping Zhou; Jane McLennan; Fergus J Couch; Amanda Ewart Toland
Journal:  J Clin Oncol       Date:  2008-09-29       Impact factor: 44.544

10.  BRCA1 R1699Q variant displaying ambiguous functional abrogation confers intermediate breast and ovarian cancer risk.

Authors:  Amanda B Spurdle; Phillip J Whiley; Bryony Thompson; Bingjian Feng; Sue Healey; Melissa A Brown; Christopher Pettigrew; Christi J Van Asperen; Margreet G E M Ausems; Anna A Kattentidt-Mouravieva; Ans M W van den Ouweland; Annika Lindblom; Maritta H Pigg; Rita K Schmutzler; Christoph Engel; Alfons Meindl; Sandrine Caputo; Olga M Sinilnikova; Rosette Lidereau; Fergus J Couch; Lucia Guidugli; Thomas van Overeem Hansen; Mads Thomassen; Diana M Eccles; Kathy Tucker; Javier Benitez; Susan M Domchek; Amanda E Toland; Elizabeth J Van Rensburg; Barbara Wappenschmidt; Åke Borg; Maaike P G Vreeswijk; David E Goldgar
Journal:  J Med Genet       Date:  2012-08       Impact factor: 6.318

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