Metformin treatment exerts antiinvasive and antimetastatic effects in human endometrial carcinoma cells.

CONTEXT: Polycystic ovary syndrome (PCOS) is the most common endocrinopathy in women associated with an increased risk of endometrial hyperplasia. We sought to study the effects of metformin treatment (widely used in the management of PCOS women) on human endometrial adenocarcinoma cells. OBJECTIVES: To study the effects of metformin treatment on in vitro invasion and metastasis in human endometrial adenocarcinoma cells. Also, given the link between inflammation with endometrial cancer invasion and metastasis, we explored the roles of nuclear factor-κB (NF-κB), matrix metalloproteinases (MMPs) as well as v-akt murine thymoma viral oncogene homolog 1 (Akt) and extracellular signal-regulated kinases (Erk(1/2)) signaling pathways. DESIGN: Sera were obtained from PCOS and control subjects. In vitro invasion were assessed in human endometrial cells (ECC-1 cells) by wound-healing motility and migration assays. NF-κB was studied by stably transfecting ECC-1 cells with a cis-reporter plasmid containing luciferase reporter gene linked to five repeats of NF-κB binding sites. The gelatinolytic activities of secreted MMP-2/9 in conditioned media were measured by gelatin zymography. Akt and Erk(1/2) phosphorylation were assessed by Western blotting. RESULTS: In vitro invasion in ECC-1 cells was significantly attenuated by sera from PCOS women after 6 months of metformin treatment (850 mg twice daily) compared to matched controls (P < 0.01). These effects appear to be associated with NF-κB, MMP-2/9, as well as Akt and Erk(1/2) pathways that are known to be important regulators of inflammation, tumor invasion and metastasis. CONCLUSIONS: Metformin, potentially, may serve as adjuvant treatment in the management of patients with endometrial cancer.

The prognostic and predictive value of syntactic structure analysis in serous carcinoma of the ovary.

The objective of this study was to determine whether syntactic structure analysis (SSA) can predict survival outcome and chemotherapeutic response in ovarian carcinoma. Syntactic structure analysis parameters, blindly determined in archived hematoxylin and eosin sections of 132, International Federation of Gynecology and Obstetrics (FIGO) stage I to IV serous ovarian tumors, and clinicopathologic parameters were evaluated as to their univariate and multivariate prognostic value and ability to predict chemotherapy response as measured by changes in CA125 levels. Univariate analysis revealed FIGO stage, tumor grade, preoperative CA125, presence of ascites, extent of disease residuum, and the SSA parameters minimum spanning tree (min MST), maximum MST (max MST), percent connectivity to 1, and 2 nearest neighbors to be significant predictors of overall survival and disease-free survival. Tumor grade, FIGO stage, extent of disease residuum, presence of ascites, and percent connectivity to 2 nearest neighbors were found to be significant predictors of chemotherapy response. Multivariate analysis revealed extent of disease residuum to be a significant predictor for overall survival (P

Prognostic value of measurements of angiogenesis in serous carcinoma of the ovary.

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