Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/56681
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Type: Journal article
Title: Morphology of breast cancer as a means of triage of patients for BRCA1 genetic testing
Author: Farshid, G.
Balleine, R.
Cummings, M.
Waring, P.
Citation: American Journal of Surgical Pathology, 2006; 30(11):1357-1366
Publisher: Lippincott Williams & Wilkins
Issue Date: 2006
ISSN: 0147-5185
1532-0979
Statement of
Responsibility: 
Farshid, G; Balleine, RL; Cummings, M. and Waring, P.
Abstract: BACKGROUND: Women who have germline mutations in the BRCA1 gene are at substantially increased lifetime risk of developing breast and ovarian cancer but are otherwise normal. Currently, early age of onset of cancer and a strong family history are relied upon as the chief clues as to who should be offered genetic testing. Certain morphologic and immunohistochemical features are overrepresented in BRCA1-associated breast cancers but these differences have not been incorporated into the current selection criteria for genetic testing. DESIGN: Each of the 4 pathologists studied 30 known cases of BRCA1- and BRCA2-associated breast cancer from kConFab families. After reviewing the literature, we agreed on a semiquantitative scoring system for estimating the chances of presence of an underlying BRCA1 mutation, based on the number of the reported prototypic features present. After a time lag of 12 months, we each examined a series of 62 deidentified cases of breast cancer, inclusive of cases of BRCA1-associated breast cancer and controls. The controls included cases of BRCA2-associated breast cancer and sporadic cases. RESULTS: Our predictions had a sensitivity of 92%, specificity of 86%, positive predictive value of 61%, and negative predictive value of 98%. For comparison the sensitivity of currently used selection criteria are in the range of 25% to 30%. CONCLUSION: The inclusion of morphologic and immunohistochemical features of breast cancers in algorithms to predict the likelihood of presence of germline mutations in the BRCA1 gene improves the accuracy of the selection process.
Keywords: Kathleen Cuningham Consortium for Research into Familial Breast Cancer (kConFab)
Humans
Breast Neoplasms
BRCA1 Protein
BRCA2 Protein
Observer Variation
Sensitivity and Specificity
Mutation
Algorithms
Patient Selection
Adult
Aged
Aged, 80 and over
Middle Aged
Triage
Female
Genetic Testing
DOI: 10.1097/01.pas.0000213273.22844.1a
Description (link): http://www.ncbi.nlm.nih.gov/pubmed/17063074
Published version: http://dx.doi.org/10.1097/01.pas.0000213273.22844.1a
Appears in Collections:Aurora harvest
Pathology publications

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