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Breast J. 2005 Jan-Feb;11(1):2-8.

High nuclear grade, frequent mitotic activity, cyclin D1 and p53 overexpression are associated with stromal invasion in mammary intracystic papillary carcinoma.

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Department of Pathology, Women and Infants Hospital of Rhode Island, Brown Medical School, Providence, Rhode Island, USA.


Stromal invasion is identified with difficulty in routine hematoxylin-eosin-stained sections of core needle biopsy specimens from mammary intracystic papillary carcinomas. The goal of this study was to determine if nuclear grade, mitotic activity, and immunohistochemical stains for p53 and cyclin D1 would assist in differentiating intracystic papillary carcinomas without stromal invasion (ICPC) from tumors with stromal invasion (ICPC-INVA). Eight cases of ICPC and 12 cases of ICPC-INVA were reviewed. Hematoxylin-eosin slides were examined to determine the histologic features. Immunohistochemistry was performed using monoclonal antibodies to human p53 and cyclin D1. Fisher's exact test was used to compare the nuclear grade, mitotic activity, and immunoreactivity between ICPC and ICPC-INVA. High nuclear grade was more often associated with ICPC-INVA than with ICPC, although the difference was not statistically significant (p = 0.069). Frequent mitotic activity was associated with ICPC-INVA more than with ICPC (p = 0.0198). All cases of ICPC were negative for either p53 or cyclin D1, whereas 7 of 12 cases (58.3%) of ICPC-INVA were positive for either cyclin D1 alone (3 cases), p53 alone (3 cases), or both cyclin D1 and p53 (1 case) (p = 0.0147). Identical nuclear grade, mitotic activity, and immunostaining patterns were seen in the intracystic and the invasive components, and in the core biopsy and the excision of the same tumor. When any one of the positive indicators (high nuclear grade, frequent mitotic activity, or positive immunostains for cyclin D1 and/or p53) was present, the positive predictive value for stromal invasion was 91.7%. When none of the positive indicators was present, the negative predictive value was 87.5%.

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