Molecular classifications of breast carcinoma with similar terminology and different definitions: are they the same?

被引:52
作者
Tang, Ping [1 ]
Wang, Jianmin [2 ]
Bourne, Patria [1 ]
机构
[1] Univ Rochester, Med Ctr, Dept Pathol, Rochester, NY 14642 USA
[2] RTI Hlth Solut, Res Triangle Pk, NC USA
关键词
molecular classification; invasive ductal carcinoma; ductal carcinoma in situ; nuclear grade; cytokeratin markers; ER-alpha; PR; HER2;
D O I
10.1016/j.humpath.2007.09.005
中图分类号
R36 [病理学];
学科分类号
100104 ;
摘要
There are 4 major molecular classifications in the literature that divide breast carcinoma into basal and nonbasal subtypes, with basal subtypes associated with poor prognosis. Basal subtype is defined as positive for cytokeratin (CK) 5/6, CK 14, and/or CK 17 in CK classification; negative for ER, PR, and HER2 in triple negative (TN) classification; negative for ER and negative or positive for HER2 in ER/HER2 classification; and positive for CK5/6, CK 14, CK 17, and/or EGFR; and negative for ER, PR, and HER2 in CK/TN classification. These classifications use similar terminology but different definitions; it is critical to understand the precise relationship between them. We compared these 4-classifications in 195 breast carcinomas and found that (1) the rates of basal subtypes varied from 5% to 36% for ductal carcinoma in situ and 14% to 40% for invasive ductal carcinoma. (2) The rates of basal subtypes varied from 19% to 76% for HG carcinoma and 1% to 7% for NHG carcinoma. (3) The rates of basal subtypes were strongly associated with tumor grades (P <.001) in all classifications and associated with tumor types (in situ versus invasive ductal carcinomas) in TN (P <.001) and CK/TN classifications (P = .035). (4) These classifications were related but not interchangeable (kappa ranges from 0.140 to 0.658 for HG carcinoma and from 0.098 to 0.654 for NHG carcinoma). In conclusion, although these classifications all divide breast carcinoma into basal and nonbasal subtypes, they are not interchangeable. More studies are needed to evaluate to their values in predicting prognosis and guiding individualized therapy. (c) 2008 Elsevier Inc. All rights reserved.
引用
收藏
页码:506 / 513
页数:8
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