Male breast cancer in BRCA1 and BRCA2 mutation carriers: pathology data from the Consortium of Investigators of Modifiers of BRCA1/2
Breast cancer research : BCR(2016)
摘要
Background BRCA1 and, more commonly, BRCA2 mutations are associated with increased risk of male breast cancer (MBC). However, only a paucity of data exists on the pathology of breast cancers (BCs) in men with BRCA1/2 mutations. Using the largest available dataset, we determined whether MBCs arising in BRCA1/2 mutation carriers display specific pathologic features and whether these features differ from those of BRCA1/2 female BCs (FBCs). Methods We characterised the pathologic features of 419 BRCA1/2 MBCs and, using logistic regression analysis, contrasted those with data from 9675 BRCA1/2 FBCs and with population-based data from 6351 MBCs in the Surveillance, Epidemiology, and End Results (SEER) database. Results Among BRCA2 MBCs, grade significantly decreased with increasing age at diagnosis ( P = 0.005). Compared with BRCA2 FBCs, BRCA2 MBCs were of significantly higher stage ( P for trend = 2 × 10 −5 ) and higher grade ( P for trend = 0.005) and were more likely to be oestrogen receptor–positive [odds ratio (OR) 10.59; 95 % confidence interval (CI) 5.15–21.80] and progesterone receptor–positive (OR 5.04; 95 % CI 3.17–8.04). With the exception of grade, similar patterns of associations emerged when we compared BRCA1 MBCs and FBCs. BRCA2 MBCs also presented with higher grade than MBCs from the SEER database ( P for trend = 4 × 10 −12 ). Conclusions On the basis of the largest series analysed to date, our results show that BRCA1 / 2 MBCs display distinct pathologic characteristics compared with BRCA1 / 2 FBCs, and we identified a specific BRCA2- associated MBC phenotype characterised by a variable suggesting greater biological aggressiveness (i.e., high histologic grade). These findings could lead to the development of gender-specific risk prediction models and guide clinical strategies appropriate for MBC management.
更多查看译文
关键词
Male breast cancer,BRCA1/2,Pathology,Histologic grade,Genotype–phenotype correlations
AI 理解论文
溯源树
样例
生成溯源树,研究论文发展脉络
Chat Paper
正在生成论文摘要