Skip to main content
Top
Published in: Breast Cancer Research 2/2008

01-04-2008 | Letter

Incorporating tumor immunohistochemical markers in BRCA1 and BRCA2 carrier prediction

Authors: Yu Chuan Tai, Sining Chen, Giovanni Parmigiani, Alison P Klein

Published in: Breast Cancer Research | Issue 2/2008

Login to get access

Excerpt

The pathology of a patient's breast carcinoma can be highly indicative of BRCA1 mutation status. Compared to sporadic and BRCA2 deficient breast carcinomas, BRCA1 deficient carcinomas tend to be estrogen receptor (ER) negative, progesterone receptor (PR) negative, HER2 negative, cytokeratin (CK)5/6 positive, and CK14 positive [1, 2]. BRCAPRO is an accurate, widely used risk prediction model that estimates the probability that an individual carries a deleterious germline mutation in BRCA1 or BRCA2 based upon their personal and/or family history of breast and ovarian cancer. Recently, when BRCAPRO carrier probabilities were updated using a patient's pathological sub-type, in a two-step process, risk estimation was improved [3]. Here we describe how we have substantially improved BRCAPRO by directly integrating marker information into the estimation of carrier probabilities and cancer risk. …
Literature
1.
go back to reference Lakhani SR, Reis-Filho JS, Fulford L, Penault-Llorca F, van der Vijver M, Parry S, Bishop T, Benitez J, Rivas C, Bignon YJ, Chang-Claude J, Hamann U, Cornelisse CJ, Devilee P, Beckmann MW, Nestle-Krämling C, Daly PA, Haites N, Varley J, Lalloo F, Evans G, Maugard C, Meijers-Heijboer H, Klijn JG, Olah E, Gusterson BA, Pilotti S, Radice P, Scherneck S, Sobol H, et al: Prediction of BRCA1 status in patients with breast cancer using estrogen receptor and basal phenotype. Clin Cancer Res. 2005, 11: 5175-5180. 10.1158/1078-0432.CCR-04-2424.CrossRefPubMed Lakhani SR, Reis-Filho JS, Fulford L, Penault-Llorca F, van der Vijver M, Parry S, Bishop T, Benitez J, Rivas C, Bignon YJ, Chang-Claude J, Hamann U, Cornelisse CJ, Devilee P, Beckmann MW, Nestle-Krämling C, Daly PA, Haites N, Varley J, Lalloo F, Evans G, Maugard C, Meijers-Heijboer H, Klijn JG, Olah E, Gusterson BA, Pilotti S, Radice P, Scherneck S, Sobol H, et al: Prediction of BRCA1 status in patients with breast cancer using estrogen receptor and basal phenotype. Clin Cancer Res. 2005, 11: 5175-5180. 10.1158/1078-0432.CCR-04-2424.CrossRefPubMed
2.
go back to reference Lakhani SR, Van DV, Jacquemier J, Anderson TJ, Osin PP, McGuffog L, Easton DF: The pathology of familial breast cancer: predictive value of immunohistochemical markers estrogen receptor, progesterone receptor, HER-2, and p53 in patients with mutations in BRCA1 and BRCA2. J Clin Oncol. 2002, 20: 2310-2318. 10.1200/JCO.2002.09.023.CrossRefPubMed Lakhani SR, Van DV, Jacquemier J, Anderson TJ, Osin PP, McGuffog L, Easton DF: The pathology of familial breast cancer: predictive value of immunohistochemical markers estrogen receptor, progesterone receptor, HER-2, and p53 in patients with mutations in BRCA1 and BRCA2. J Clin Oncol. 2002, 20: 2310-2318. 10.1200/JCO.2002.09.023.CrossRefPubMed
3.
go back to reference James PA, Doherty R, Harris M, Mukesh BN, Milner A, Young MA, Scott C: Optimal selection of individuals for BRCA mutation testing: a comparison of available methods. J Clin Oncol. 2006, 24: 707-715. 10.1200/JCO.2005.01.9737.CrossRefPubMed James PA, Doherty R, Harris M, Mukesh BN, Milner A, Young MA, Scott C: Optimal selection of individuals for BRCA mutation testing: a comparison of available methods. J Clin Oncol. 2006, 24: 707-715. 10.1200/JCO.2005.01.9737.CrossRefPubMed
4.
go back to reference Chen S, Wang W, Broman KW, Katki HA, Parmigiani G: Bayes-Mendel: and R environment for Mendelian risk prediction. Stat Appl Genet Mol Biol. 2004, 3: Article21-PubMedPubMedCentral Chen S, Wang W, Broman KW, Katki HA, Parmigiani G: Bayes-Mendel: and R environment for Mendelian risk prediction. Stat Appl Genet Mol Biol. 2004, 3: Article21-PubMedPubMedCentral
5.
go back to reference Parmigiani G, Berry D, Aguilar O: Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2. Am J Hum Genet. 1998, 62: 145-158. 10.1086/301670.CrossRefPubMedPubMedCentral Parmigiani G, Berry D, Aguilar O: Determining carrier probabilities for breast cancer-susceptibility genes BRCA1 and BRCA2. Am J Hum Genet. 1998, 62: 145-158. 10.1086/301670.CrossRefPubMedPubMedCentral
Metadata
Title
Incorporating tumor immunohistochemical markers in BRCA1 and BRCA2 carrier prediction
Authors
Yu Chuan Tai
Sining Chen
Giovanni Parmigiani
Alison P Klein
Publication date
01-04-2008
Publisher
BioMed Central
Published in
Breast Cancer Research / Issue 2/2008
Electronic ISSN: 1465-542X
DOI
https://doi.org/10.1186/bcr1866

Other articles of this Issue 2/2008

Breast Cancer Research 2/2008 Go to the issue
Webinar | 19-02-2024 | 17:30 (CET)

Keynote webinar | Spotlight on antibody–drug conjugates in cancer

Antibody–drug conjugates (ADCs) are novel agents that have shown promise across multiple tumor types. Explore the current landscape of ADCs in breast and lung cancer with our experts, and gain insights into the mechanism of action, key clinical trials data, existing challenges, and future directions.

Dr. Véronique Diéras
Prof. Fabrice Barlesi
Developed by: Springer Medicine