Proliferative activity in human breast cancer: Ki-67 automated evaluation and the influence of different Ki-67 equivalent antibodies.

BACKGROUND: Ki67 labeling index (Ki67 LI), the percentage Ki67 immunoreactive cells, is a measure of tumor proliferation, with important clinical relevance in breast cancer, and it is extremely important to standardize its evaluation. AIM: To test the efficacy of computer assisted image analysis (CAIA) applied to completely digitized slides and to assess its feasibility in routine practice and compare the results obtained using two different Ki67 monoclonal antibodies. MATERIALS AND METHODS: 315 consecutive breast cancer routinely immunostained for Ki-67 (223 with SP6 and 92 with MM1 antibodies previously examined by an experienced pathologist, have been re-evaluated using Aperio Scanscope Xs. RESULTS: Mean human Ki67 LI values were 36%± 14.% and 28% ± 18% respectively for SP6 and MM1 antibodies; mean CAM Ki67 LI values were 31%± 19% and 22% ± 18% respectively for SP6 and MM1. Human and CAIA evaluation are statistically highly correlated (Pearson: 0.859, p<0.0001), although human LI are systematically higher. An interobserver variation study on CAIA performed on 84 cases showed that the correlation between the two evaluations was linear to an excellent degree. DISCUSSION: Our study shows that a) CAIA can be easily adopted in routine practice, b) human and CAIA Ki67 LI are highly correlated, although human LI are systematically higher, c) Ki67 LI using different evaluation methods and different antibodies shows important differences in cut-off values.

Molecular genetics of prostate cancer: clinical translational opportunities.

Prostate cancer (PC) development reflects a complex sequence of biologic and molecular events. Several inheritable and somatic genetic changes have been identified. The knowledge of the molecular basis of PC can improve our understanding of the causes of this common cancer and provide information on prognosis and treatment. To date, however, no molecular studies have yet yielded consistent information that is ready to be incorporated into clinical practice. We reviewed the current literature on the molecular biology of prostate cancer and analyzed different potential tumor markers according to the classical concepts of oncogenes, suppressor genes, and the more modern concepts of genes involved in detoxification or inflammatory pathways of cancer progression. This review aims to identify trends in PC research and suggests potential clinical applications for diagnosis, prognosis, prevention and treatment.