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

Time-dependent diffusion MRI-based microstructural mapping for differentiating high-grade serous ovarian cancer from serous borderline ovarian tumor

PURPOSE

To investigate the value of microstructural characteristics derived from time-dependent diffusion MRI in distinguishing high-grade serous ovarian cancer (HGSOC) from serous borderline ovarian tumor (SBOT) and the associations of immunohistochemical markers with microstructural features.

METHODS

Totally 34 HGSOC and 12 SBOT cases who received preoperative pelvic MRI were retrospectively included in this study. Two radiologists delineated the tumors to obtain the regions of interest (ROIs). Time-dependent diffusion MRI signals were fitted by the IMPULSED (imaging microstructural parameters using limited spectrally edited diffusion) model, to extract microstructural parameters, including fraction of the intracellular component (fin), cell diameter (d), cellularity and extracellular diffusivity (Dex). Apparent diffusion coefficient (ADC) values were obtained from standard diffusion-weighted imaging (DWI). The parameters of HGSOCs and SBOTs were compared, and the diagnostic performance was evaluated. The associations of microstructural indexes with immunopathological parameters were assessed, including Ki-67, P53, Pax-8, ER and PR.

RESULTS

In this study, fin, cellularity, Dex and ADC had good diagnostic performance levels in differentiating HGSOC from SBOT, with AUCs of 0.936, 0.909, 0.902 and 0.914, respectively. There were no significant differences in diagnostic performance among these parameters. Spearman analysis revealed in the HGSOC group, cellularity had a significant positive correlation with P53 expression (P = 0.028, r = 0.389) and Dex had a significant positive correlation with Pax-8 expression (P = 0.018, r = 0.415). ICC showed excellent agreement for all parameters.

CONCLUSION

Time-dependent diffusion MRI had value in evaluating the microstructures of HGSOC and SBOT and could discriminate between these tumors.

Argentic staining reveals changes in cerebellar tissue organisation by prenatal glucocorticoid administration in rats

It was almost 150 years ago that Golgi revolutionised histology with silver-based stains. Major advances in knowledge of the nervous system became possible because of silver impregnations. Silver staining combined with classical histological staining, cytochemistry methods, and electron microscopy is useful for studying mechanisms and components at subcellular, cellular, and tissue levels. Despite the advantages of silver staining, its use has decreased over time. The aim of this work was to use argentic staining to study the cerebellar effects of controversial prenatal glucocorticoid (GC) therapy. At postnatal day 12 (P12), the cerebellum of corticosterone (CC)-treated rats impregnated with AgNOR staining exhibited diminished thickness of the external granule layer (EGL) and irregular Purkinje cell arrangement. There was a greater number of nucleoli and nucleolar organiser regions (NORs) in 24% of Purkinje cells. Cerebellar granule neuron progenitor (CGNP) cells of the EGL showed a decrease in cellular density (confirmed by proliferating cell nuclear antigen [PCNA] immunolocalization) and NORs. At postnatal day 6 (P6), the Golgi-Kopsch technique allowed us to observe disturbances in the distribution pattern of CGNP cells (during proliferation, migration, and differentiation) and premature growth of the Bergmann glia. Our findings reveal disturbances in the cerebellar development program with early cellular and tissue changes.

Digital image analysis of AgNORs in cervical smears of women with premalignant and malignant lesions of the uterine cervix

We performed a hospital-based, unmatched case-control study to investigate the association between progressive stages of cervical neoplasia and digital analysis of cell proliferation by silver stained nucleolus organizer region associated proteins (AgNORs). We measured cell proliferation levels in the cervical epithelial cells of 10 women with low grade squamous intraepithelial lesions (LG-SIL), eight with high grade squamous intraepithelial lesions (HG-SIL), 11 with cervical cancer (CC) and eight with no cervical lesions (controls) using the AgNORs technique. Cell proliferation was measured by digital image analysis (DIA). DIA revealed increased total areas of AgNORs in HG-SIL and CC compared to LG-SIL and control patients. AgNORs with a kidney or cluster shape exhibited greater areas than those with a spherical or long shape. We propose a cut-off of 118 pixels to differentiate benign (control and LG-SIL) from malignant (HG-SIL and CC) lesions. DIA of AgNORs is a simple and inexpensive method for studying proliferation. The increased total area of AgNORs in malignant lesions provides information regarding cell behavior and may be related to cervical carcinogenesis; however, further validation studies are required to establish its usefulness in cytological analysis.

DNA Cytometry and Nuclear Morphometry in Ovarian Benign, Borderline and Malignant Tumors

BACKDROUND:

Ovarian carcinoma is a leading cause of death in gynecological malignancy. Ovarian surface epithelial serous and mucinous tumours are classified as benign, borderline, and malignant. The identification of borderline tumours most likely to act aggressively remains an important clinical issue.

AIM:

This work aimed to study DNA ploidy and nuclear area in ovarian serous and mucinous; benign, borderline and malignant tumours.

MATERIAL AND METHODS:

This study included forty ovarian (23 serous and 17 mucinous) tumours. Paraffin blocks were sectioned; stained with haematoxylin and eosin for histopathologic and morphometric studies and with blue feulgen for DNA analysis.

RESULTS:

All four serous and six out of nine mucinous benign tumours were diploid. All eight serous and five mucinous malignant tumours were aneuploid. Nine of eleven (81.8%) serous and all three mucinous borderline tumours were aneuploid. There were highly significant differences in mean aneuploid cells percentage between serous benign (1.5%), borderline (45.6%) and malignant (74.5%) (p = 0.0001) and between mucinous benign (13.2%) and both borderline (63.7%) and malignant (68.4%) groups (p = 0.0001). There were significant differences in nuclear area between serous benign (26.191%), borderline (45.619%) and malignant (67.634 %) and a significant positive correlation between mean percentage aneuploid value and mean nuclear area in all serous and mucinous groups.

CONCLUSION:

We suggest that DNA ploidy and nuclear area combined, may be adjuncts to histopathology; in ovarian serous and mucinous benign, borderline and malignant neoplasms; identifying the aggressive borderline tumours.

Assessment of the argyrophilic nucleolar organizer region area/nucleus ratio in ovarian serous epithelial adenomas, borderline tumors and cancers

INTRODUCTION

There is a need to assess the value of the novel potentially useful biomarkers in ovarian tumors. The aim of study was to assess the value of sAgNOR analysis in ovarian serous epithelial tumors.

MATERIAL AND METHODS

The analysis was performed in ovaries from 113 patients treated operatively due to serous ovarian tumors (30 adenomas, 14 borderline tumors and 69 cancers). After silver staining of paraffin specimens from surgery, sAgNOR in tumor cells was analyzed. Additionally, the value of the argyrophilic nucleolar organizer region area/nucleus ratio (sAgNOR) in the prediction of disease-free survival (DFS) and overall survival (OS) in 52 patients with serous ovarian cancer with complete follow-ups in November 2009 was evaluated. Age, grading, radicality of surgery and FIGO staging were analyzed as additional factors.

RESULTS

SAGNOR IN ADENOMAS, BORDERLINE TUMORS AND CANCERS WAS IN THE FOLLOWING RANGES: (0.73 ±0.23) × 10(6), (0.81 ±0.18) × 10(6) and (0.96 ±0.33) × 10(6) [AgNOR/cm(2)] respectively. In cancers from G1 to G3 sAgNOR was (1.02 ±0.32) × 10(6) (G1), (0.98 ±0.37) × 10(6) (G2) and (0.82 ±0.24) × 10(6) (G3) [AgNOR/cm(2)] respectively. In univariate analysis, but not in multivariate analysis, staging negatively correlated with better DFS and OS. sAgNOR, age of patients, grading and radicality of surgery were not associated with DFS or OS in either univariate or multivariate analysis.

CONCLUSIONS

sAgNOR analysis is not sufficient to precisely characterize cellular kinetics in serous ovarian tumors, and the analysis of sAgNOR, mAgNOR and pAgNOR should be performed commonly. The prognostic significance of sAgNOR in patients with serous ovarian cancer was not proven.

Genistein effects on haematoimmune cells in a newly developed alternative toxicological model

Unexpected, sometimes opposite effects of dietary isoflavonic phytoestrogens on immunity may suggest that classical mammalian toxicological assays are not entirely suitable for preclinical safety tests of these compounds. We evaluated a new alternative model of haemocytes of Egyptian cotton worm in vivo following genistein administration. Genistein induced significant changes in nucleolar morphology of haemocytes but did not influence their counts and nucleolar indices. The results indicate that genistein does not affect proliferation and differentiation of normal cells but potentiates their immuno-competence. Egyptian cotton worm larvae seem to be the new alternative biomodel for immunological screening.

Endometrial cytology and computerized morphometric analysis of epithelial nuclei: a useful tool for reproductive diagnosis in the bitch

New diagnostic approaches are required to recognize early canine hypofertility or infertility. We suggest that the identification of different cytologic types, cellular aspects, and nuclear features of the endometrial epithelial cells may be suitable for this purpose. This study was performed on the bitch (Canis familiaris) during the physiologic reproductive cycle and in uterine diseases. We also applied computerized cytomorphometry to evaluate nuclear area, perimeter, diameter, density, aspect, and roundness of endometrial epithelial cells in healthy dogs (N=35) at different stages of the reproductive cycle (before puberty, during proestrus, estrus, diestrus, and anestrus) and in bitches affected by uterine disorders (N=10). The stage of the estrous cycle was determined by vaginal cytology and progesterone evaluation and also confirmed by clinical and histologic observations. Samples for endometrial cytology were collected in vivo by uterine flushing with transcervical uterine cannulation. After uterine sampling, each dog underwent OHE or uterine stump revision. Cytologic analyses were compared with histologic examinations to verify the uterine condition. The uterine cellular population was represented by endometrial epithelial cells, erythrocytes, neutrophils, lymphocytes, eosinophils, macrophages, plasma cells, and cervical or incidental vaginal cells. Bacteria and amorphous material were observed. The proportion of different cells and nuclear features in the cytologic samples varied throughout the stages of the reproductive cycle and between normal and pathologic uterine conditions. The computer-assisted nuclear morphometry, performed in cytologic specimens by means of the six nuclear parameters chosen to evaluate the endometrial epithelial cell population, proved to be useful for determining the stage of the reproductive cycle. Furthermore, this system was demonstrated to be a valid support to diagnose and distinguish uterine disorders.

The prognostic value of nuclear morphometric analysis in serous ovarian carcinoma

The objective of this study was to determine whether nuclear morphometric data can predict survival, disease progression, and chemotherapeutic response in ovarian serous carcinoma. Nuclear morphometric parameters were determined from archival hematoxylin and eosin sections of 132 serous tumors. Clinicopathologic and morphometric parameters were evaluated as to their individual and independent prognostic value and prediction of chemotherapy response. Nuclear parameters were found to strongly correlate with extent of disease residuum, tumor grade, and FIGO stage. Univariate analysis revealed stage, grade, preoperative CA125, presence of ascites, extent of disease residuum, standard deviation of nuclear area (SDNA), nuclear perimeter (NP), SDNP, nuclear length (NL), nuclear breadth (NB), orthoferet, and equivalent diameter (ED) to be significant predictors of overall survival (OS) and disease-free survival (DFS). Grade, stage, extent of disease residuum, presence of ascites, SDNA, NP, NL, NB, and orthoferet were found to be significant predictors of chemotherapy response. Multivariate analysis revealed extent of disease residuum (P <or= 0.01) and ED (P = 0.002) to be significant predictors for OS. FIGO stage (P <or= 0.01) and ED (P = 0.039) were significant predictors of DFS. NL (P = 0.041) and extent of residual disease (P = 0.003) were the strongest predictors of chemotherapy response with correct classification rates of 68.8% and 70.3%, respectively. In all stages, nuclear morphometry was easy to perform and highly reproducible. Independent prognostic significance was achieved for OS and DFS analysis. Results also suggest that nuclear morphometry can provide significant information to predict chemotherapy response in platinum-treated serous ovarian cancer.