No abstract

No abstract

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

The study objective was to determine the prognostic value of assessment of staining of p53 and bcl-2 in a well-selected group of serous ovarian carcinomas. Immunohistochemical detection was used to identify both p53 and bcl-2 positive tumors. One hundred thirty-two tumors were analyzed for positivity of staining, grade of staining intensity, and for p53 alone, percent expression rates. These were analyzed alongside traditional clinicopathologic parameters for their ability to predict overall survival (OS), disease-free survival (DFS), and response to chemotherapy (CR). Univariate COX analysis revealed percent p53 expression (P = 0.012) and p53 grade (P = 0.01) to be significant predictors of DFS. Neither the p53 nor bcl-2 measurement parameters were found significant for OS or prediction of CR. On multivariate analysis, incorporating clinicopathologic parameters, p53 parameters did not retain independent significance for any outcome measure. As in primary reported studies, bcl-2 was not found to be of clear independent prognostic value in this group of ovarian tumors. If mutation of p53 and its consequent overexpression is an early event in ovarian tumorigenesis, then p53 assessment may prove useful prognostically in the assessment of either low-grade ovarian carcinomas, as a possible indicator for progression, or in early-stage ovarian tumors, as a marker of tumor aggression or likelihood of recurrence. p53 analysis of a larger group of stage I ovarian tumors would be desirable to further explain the potential association with DFS.

The study objective was to determine whether tumor vascularity correlates with patient survival, to compare newer semiautomated methods of angiogenesis assessment to older methods, and to determine if advanced image analysis methods can offer useful patient outcome data in serous ovarian cancer. Using the specific endothelial marker CD34, microvessel determinations were quantified in 132 serous ovarian tumors by manual counting at final magnifications of x 200 and x 400 in the most highly vascular areas. Computer-assisted image analysis microvessel counts, endothelial area estimates, and minimum spanning tree (MST) analysis of capillary architecture, which involves assessment of intercapillary distances, were correlated with traditional manual techniques.Manual, semiautomated, and advanced image analysis methods were found to be highly reproducible and express strong correlation with one another. Univariate cyclooxygenase analysis revealed angiogenesis parameters to be highly significant predictors for overall survival (OS) and disease-free survival. Multivariate cyclooxygenase analysis revealed maximum MST (P = 0.009), length MST (P = 0.005), 1 nearest neighbor (P