Literature DB >> 12680640

Prognostic value of histologic stage and proliferative activity in canine malignant mammary tumors.

Giuseppe Sarli1, Rosario Preziosi, Cinzia Benazzi, Gastone Castellani, Paolo Stefano Marcato.   

Abstract

The aim of this study was to investigate the correlation between the histologic invasiveness (histologic stage) and various cell proliferation activity assays (quantity of argyrophil proteins associated with nucleolar organizer regions [AgNORs], mitotic activity, MIB1 [Ki67] immunohistochemical detection) for predicting the biologic behavior of malignant canine mammary tumors. Sixty specimens from malignant canine mammary tumors with no distant metastases (M0) at surgery were selected, and follow-up data were collected over a 2-year period. The histologic invasiveness was graded by histologic stage (stage 0 = tumors without stromal invasion; stage I = tumors with stromal invasion; stage II = tumors with neoplastic emboli in vessels), and the proliferative indices were expressed as MIB1 index (the percentage of nuclear area immunohistochemically stained by MIB1 antibody), mitotic index (the number of mitoses per 1,000 neoplastic cells), and AgNOR index (the ratio between mean AgNOR area of tumor cells and the mean AgNOR area of fibroblasts/lymphocytes). The measures of proliferative activity were compared among groups with different histologic stages, and the influence of different prognostic variables (histologic stage, AgNOR index, mitotic index, MIB1 index) on survival time was evaluated. A significant difference in the proliferation patterns was recorded between the different histologic stages for the mitotic index (P = 0.0006) and MIB1 index (0.0013). Among the different parameters considered, histologic stage (P < 0.05), AgNOR index (P = 0.0291), and MIB1 index (P = 0.014) revealed a significant association with prognosis in univariate analysis. AgNOR index for 1-year survival and histologic stage for 2-year survival were the most significant parameters influencing survival, as determined by multiple nonlinear logistic regression.

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Year:  2002        PMID: 12680640     DOI: 10.1177/104063870201400106

Source DB:  PubMed          Journal:  J Vet Diagn Invest        ISSN: 1040-6387            Impact factor:   1.279


  11 in total

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