HPV16 genotype, p16/Ki-67 dual staining and koilocytic morphology as potential predictors of the clinical outcome for cervical low-grade squamous intraepithelial lesions.

OBJECTIVE: To evaluate the association of human papillomavirus (HPV) 16 and non-16 genotype, p16/Ki-67 dual staining and koilocytosis and their role in the prediction of the clinical outcome of low-grade squamous intraepithelial lesion (LSIL) cytology. METHODS: One hundred and fifty-five patients with LSIL were followed up and recorded as progression, persistence or regression. HPV genotyping was performed for high-risk HPV (hrHPV) DNA-positive cases. Koilocytosis was reviewed and p16/Ki-67 dual staining was performed on reprocessed conventional cytology slides. RESULTS: HPV16 was the most frequent genotype found in 16.3% of cases. p16/Ki-67 dual staining was positive in 36.1% of all cases. Progression, including concurrent cervical intraepithelial lesion grade 2 or above (CIN2+), was recorded in 13.8% of cases. A statistically significant difference between progressive and non-progressive cases was shown by the following: hrHPV-positive versus hrHPV-negative (P = 0.022), HPV16-positive versus non-16 HPV-positive (P < 0.001) and p16/Ki-67-positive versus p16/Ki-67-negative (P < 0.001) cases. Cases with combined HPV16 and p16/Ki-67 positivity showed the highest progression rate (58.3%). Non-koilocytic HPV16-positive cases showed a 50% progression rate compared with 10.1% for koilocytic non-16 HPV-positive cases (P = 0.010). The sensitivity of p16/Ki-67 dual staining for the detection of CIN2+ lesions was 80%, comparable with hrHPV (85%). The specificity of p16/Ki-67 dual staining was 71% and of hrHPV 42%. The highest specificity was found for HPV16 genotype presence (91%), but with low sensitivity (50%). CONCLUSION: HPV genotyping, p16/Ki-67 dual staining and koilocytic morphology can be useful in the prediction of clinical outcome in women initially diagnosed with LSIL cytology.

Intraoperative cytology of clear cell carcinoma of the ovary.

OBJECTIVE: To describe the cytomorphology of clear cell carcinoma (CCC) of the ovary in intraoperative samples of peritoneal fluid, imprint and scraping samples of the tumour tissue. STUDY DESIGN: Fourteen histologically confirmed cases, stained by standard cytological procedures, were analysed by light microscopy. RESULTS: In 33.3% of peritoneal fluid samples and 92.9% of imprint and scraping cytological samples, besides variable clear cell cellular morphology, one or both distinct cytological characteristics were observed: eosinophilic, hyaline, extracellular, globular substance with or without formation of a 'raspberry' body and an eosinophilic, intracytoplasmic inclusions. These structures were clearly seen only in samples stained by May-Grünwald-Giemsa. CONCLUSION: Using cytological analysis of imprint and scraping samples of ovarian tumours it is possible to make a precise intraoperative cytological diagnosis in most cases of CCC of the ovary.

Morphometry and digital AgNOR analysis in cytological imprints of benign, borderline and malignant serous ovarian tumours.

AIM: The aim of the study was to determine values of a quantitative morphometry analysis of nuclear characteristics and argyrophilic nucleolar organizer regions (AgNORs) in differential cytodiagnosis of benign, atypically proliferating (borderline) and malignant serous ovarian tumours. METHODS: Cytological imprints of benign (n = 20), borderline (n = 19) and malignant (n = 20) ovarian serous tumours were analysed. A computerized, digital analysis was used to determine morphometric nuclear features, the number and characteristics of single AgNORs, cluster AgNORs, total AgNOR and AgNOR area/nucleus (relative area) ratio. According to their size AgNORs were classified in three categories. A one-way variance analysis and post hoc test (Scheffé) were used for statistical analysis. RESULTS: The morphometric nuclear analysis showed that benign, borderline and malignant serous ovarian tumours are statistically different (P < 0.001) according to the area and outline, the values being highest in malignant tumours and lowest in the borderline group. Digital analysis of AgNORs in benign, borderline and malignant groups showed that the total AgNOR number increases with progression of the lesion (meaning tumour malignancy) significantly (P < 0.001) between benign and malignant as well as between borderline and malignant serous ovarian tumours (P < 0.001). The progression of the lesion malignancy was accompanied by a significant (P < 0.001) progressive increase of the total and relative AgNOR area per nucleus. The AgNOR size increases from benign to malignant tumours and a statistically significant difference (P < 0.001) was observed in all three groups regarding small and large AgNORs. CONCLUSION: Combining different markers of morphometric nuclear characteristics and AgNOR values could improve differential cytodiagnosis of benign, borderline and malignant serous ovarian tumours.