CD10, a transmembrane endopeptidase, has been shown to be lost as an early event in prostate cancer. We aimed at evaluating the pattern of expression of CD10 in various Gleason’s grades of prostatic adenocarcinoma in comparison with nodular hyperplasia of prostate. This retrospective study included 30 cases of nodular hyperplasia and 30 of prostatic adenocarcinoma of various Gleason’s grades. Immunohistochemical staining for CD10 was performed on all cases and positivity evaluated as percentage of cells as well as location (membranous or cytoplasmic or both). Of prostatic adenocarcinomas, grade 3 was seen in 10 foci, grade 4 in 28 and grade 5 in 22 foci. CD10 positivity in carcinoma was lower than in nodular hyperplasia, with the lowest positivity in grade 5. The pattern of expression of CD10 also changed from membranous in grade 3 to cytoplasmic in grade 5. Loss of CD10 expression appears to be associated with increasing tumour grade in carcinoma prostate and this can potentially be useful in stratification of such patients.

Fine needle aspiration cytology (FNAC) is a reliable and reproducible diagnostic technique for thyroid lesions with certain limitations. Computed morphometric methods have been introduced with a view to improve the diagnostic yield of thyroid aspirates. However, a review of the existing literature revealed conflicting reports regarding morphometric parameters in thyroid neoplasms. Materials and Methods: This study included 50 cases of thyroid lesions (20 cases of colloid goitre, 15 of follicular adenoma, 5 of follicular carcinoma and 10 papillary carcinomas). Digital images of cytologic smears of these cases were captured using a dedicated photomicrography system and nuclear profiles traced manually. With self-designed image analysis software, nuclear morphometric measurements, including texture analysis, were performed. Discriminant analysis was performed including the morphometric parameters and percentage of correctly classified nuclei noted. Results: Nuclear morphometry parameters showed that papillary thyroid carcinoma had the highest perimeter, area, radius and elongation factor compared to other thyroid lesions. Discriminant analysis revealed that altogether 77.9% of cells could be correctly classified to their lesion category based on the nuclear morphometric and textural parameters. Of the neoplastic cases, 84.5% of cells of follicular neoplasms and 72.5% of papillary carcinoma were classified to the respective category. Conclusion: Nuclear morphometry, including texture analysis, can assist in the cytologic diagnosis of thyroid lesions, considering the high degree of accuracy of classification. Further studies and methodological refinements can achieve higher accuracy.