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  • Title: Cell kinetic study of thymic epithelial tumors using PCNA (PC10) and Ki-67 (MIB-1) antibodies.
    Author: Yang WI, Efird JT, Quintanilla-Martinez L, Choi N, Harris NL.
    Journal: Hum Pathol; 1996 Jan; 27(1):70-6. PubMed ID: 8543314.
    Abstract:
    We performed an immunohistochemical cell kinetic study with monoclonal antibodies to proliferating cell nuclear antigen (PCNA)-PC10-and Ki-67-MIB-1-on 62 thymic epithelial tumors, to evaluate whether there is correlation between the proliferation indices of the neoplastic epithelial cells and histological subtype, stage, and risk of relapse. The 62 cases of thymic epithelial tumors were classified as medullary thymoma (4 cases), composite (mixed) thymoma (17 cases), organoid thymoma (predominantly cortical) (11 cases), cortical thymoma (10 cases), well-differentiated thymic carcinoma (18 cases), and poorly differentiated thymic carcinoma (2 cases). Labeling indices were expressed as percentage of epithelial cells with positive nuclear immunostaining by random counting of 1,000 epithelial tumor cells, using an oil immersion 100 x objective. PCNA labeling indices were consistently higher than those of Ki-67, and they correlated with each other. Well-differentiated thymic carcinoma showed higher labeling indices (3.11% +/- 3.53%) by Ki-67 antibody compared with the medullary type (0.60% +/- 0.07%) (P < .05) but there were no statistically significant differences between the other histological subtypes. Stage IV cases showed higher PCNA labeling indices (PCNA: 11.07% +/- 7.35%, Ki-67: 6.86% +/- 5.87%) than cases of the other stages (P < .05), but there were no statistically significant differences in either labeling index between the other stages. The number of patients who relapsed was too small to permit meaningful correlation between labeling indices and relapse. Our results indicate that the differences in biological behavior of the different histological subtypes of thymic epithelial tumors may be in part explained by differences in tumor growth fraction. Analysis of a larger group of patients will be required to determine whether proliferation fraction as determined by this method can be used to predict outcome in individual cases.
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