F Aloraifi1, M Alshehhi2, T McDevitt2, N Cody2, M Meany2, A O'Doherty3, C M Quinn3, A J Green4, A Bracken5, J G Geraghty3. 1. School of Medicine and Medical Science, University College Dublin, Ireland; Smurfit Institute of Genetics, Trinity College Dublin, Ireland. Electronic address: faloraifi@rcsi.ie. 2. National Centre for Medical Genetics, Ireland. 3. School of Medicine and Medical Science, University College Dublin, Ireland; St. Vincent University Hospital, Ireland. 4. School of Medicine and Medical Science, University College Dublin, Ireland; National Centre for Medical Genetics, Ireland. 5. Smurfit Institute of Genetics, Trinity College Dublin, Ireland.
Abstract
AIMS: Women with inherited pathogenic mutations in the BRCA1 or BRCA2 genes have up to an 85% risk of developing breast cancer in their lifetime. However, only about 20% of familial breast cancer is attributed to mutations in BRCA1 and BRCA2, while a further 5-10% are attributed to mutations in other rare susceptibility genes such as TP53, STK11, PTEN, ATM and CHEK2. Despite extensive efforts to explain the missing heritability of this disease, the majority of familial clustering in breast cancer remains largely unexplained. We aim to analyze the pathology of familial cases of which no pathogenic mutation is yet identified. METHODS: We compared the pathological phenotype of BRCA1/BRCA2 negative familial breast cancer (BRCAx) to BRCA1-positive, BRCA2-positive and sporadic cases without a family history. Age-adjusted analysis is summarized in odd's ratios and confidence intervals for tumor type, grade, lymph node, ER and HER2 status. RESULTS: We found non-familial cases to be more likely to be ER positive (P = 0.041) as compared with BRCAx tumors. More cases of lobular carcinoma were found with BRCAx as compared to BRCA1 tumors (P = 0.05). After multivariate logistic regression analysis, BRCAx tumors are more likely ER positive (P = 0.001) and HER2 positive (P = 0.047) in comparison to BRCA1. Conversely, BRCAx cases are less likely to be ER positive (P = 0.02) but more likely to be HER2 positive (P = 0.021) as compared with BRCA2 tumors. CONCLUSION: Our findings suggest that BRCA1, BRCA2 and BRCAx tumors differ in phenotype from non-familial and familial BRCA1-positive and BRCA2-positive tumors. Further studies will need to be performed in this important population in order to develop strategies for early detection and prevention.
AIMS: Women with inherited pathogenic mutations in the BRCA1 or BRCA2 genes have up to an 85% risk of developing breast cancer in their lifetime. However, only about 20% of familial breast cancer is attributed to mutations in BRCA1 and BRCA2, while a further 5-10% are attributed to mutations in other rare susceptibility genes such as TP53, STK11, PTEN, ATM and CHEK2. Despite extensive efforts to explain the missing heritability of this disease, the majority of familial clustering in breast cancer remains largely unexplained. We aim to analyze the pathology of familial cases of which no pathogenic mutation is yet identified. METHODS: We compared the pathological phenotype of BRCA1/BRCA2 negative familial breast cancer (BRCAx) to BRCA1-positive, BRCA2-positive and sporadic cases without a family history. Age-adjusted analysis is summarized in odd's ratios and confidence intervals for tumor type, grade, lymph node, ER and HER2 status. RESULTS: We found non-familial cases to be more likely to be ER positive (P = 0.041) as compared with BRCAx tumors. More cases of lobular carcinoma were found with BRCAx as compared to BRCA1 tumors (P = 0.05). After multivariate logistic regression analysis, BRCAx tumors are more likely ER positive (P = 0.001) and HER2 positive (P = 0.047) in comparison to BRCA1. Conversely, BRCAx cases are less likely to be ER positive (P = 0.02) but more likely to be HER2 positive (P = 0.021) as compared with BRCA2 tumors. CONCLUSION: Our findings suggest that BRCA1, BRCA2 and BRCAx tumors differ in phenotype from non-familial and familial BRCA1-positive and BRCA2-positive tumors. Further studies will need to be performed in this important population in order to develop strategies for early detection and prevention.
Authors: Christos Petridis; Iteeka Arora; Vandna Shah; Anargyros Megalios; Charlotte Moss; Anca Mera; Angela Clifford; Cheryl Gillett; Sarah E Pinder; Ian Tomlinson; Rebecca Roylance; Michael A Simpson; Elinor J Sawyer Journal: Breast Cancer Res Date: 2019-05-06 Impact factor: 6.466