SERPINB3 (also known Squamous cell carcinoma antigen 1, SCCA1) is involved in apoptosis, immune response, cell migration and invasiveness of cells. It has been investigated in various types of squamous cell carcinoma. Therefore we investigated the functional role of SERPINB3 gene in human epithelial ovarian cancer (EOC) using laying hens, the most relevant animal model. In 136 laying hens, EOC was found in 10 (7.4%). We compared the expression and localization of SERPINB3 using RT-PCR, quantitative RT-PCR, in situ hybridization and immunohistochemistry, and SERPINB3 activation was detected in chicken and human ovarian cancer cell lines using immunofluorescence microscopy. Thereafter, we examined the prognostic value of SERPINB3 expression in patients with EOC by multivariate linear logistic regression and Cox’ proportional hazard analyses. In present study, SERPINB3 mRNA was induced in cancerous ovaries (p< 0.01), and it was only expressed in the glandular epithelium(GE) of cancerous ovaries of laying hens. SERPINB3 protein was localized predominantly to the nucleus of glandular epithelium in cancerous ovaries of laying hens, and it was abundant in the nucleus of both chicken and human ovarian cancer cell lines. In 109 human patients with EOC, 15 (13.8%), 66 (60.6%) and 28 (25.7%) of those patients showed weak, moderate and strong expression of SERPINB3 protein, respectively. Strong expression of SERPINB3 protein was a prognostic factor for platinum resistance (adjusted OR, 5.94; 95% Confidence Limits, 1.21-29.15). Therefore SERPINB3 may play an important role in ovarian carcinogenesis and be a novel biomarker for predicting platinum resistance and a poor prognosis for survival in patients with EOC. This research was funded by the World Class University (WCU) program (R31-10056), Basic Science Research Program (2010- 0013078) through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science, and Technology and by the Next-Generation BioGreen 21 Program (No.PJ008142), Rural Development Administration, Republic of Korea.

Analyses of an integrated form N ( τ ) = ∫ ∞ τ n ( τ ) d τ of the distribution of cluster ages, rather than its differential form n ( τ ) , demonstrate that the observed distribution has clusters older than about 500 million years in a significant excess over theoretical model distributions. Considerations on cluster disruption processes show that a single disruption time-scale, frequently employed by current theoretical models, is no longer an adequate parameter for describing survival probability of clusters over wide age range, because different initial conditions of these clusters produce corresponding spreads in their lifetimes. To take into account for the spread in initial conditions, we have introduced an age-dependent disruption time, and deduced its age-dependence from the present-day age distribution of clusters. Results show a distinct two-stage variation: The newly introduced disruption time stays constant at about 50 million years for clusters younger than about 100 million years, while for clusters older than that it increases monotonically with the cluster age. This leads us to conclude that clusters experience different types of disrupting causes as they get old.