Angiogenesis-related gene expression profile with independent prognostic value in advanced ovarian carcinoma.

BACKGROUND Ovarian carcinoma is the most important cause of gynecological cancer-related mortality in Western societies. Despite the improved median overall survival in patients receiving chemotherapy regimens such as paclitaxel and carboplatin combination, relapse still occurs in most advanced diseased patients. Increased angiogenesis is associated with rapid recurrence and decreased survival in ovarian cancer. This study was planned to identify an angiogenesis-related gene expression profile with prognostic value in advanced ovarian carcinoma patients. METHODOLOGY/PRINCIPAL FINDINGS RNAs were collected from formalin-fixed paraffin-embedded samples of 61 patients with III/IV FIGO stage ovarian cancer who underwent surgical cytoreduction and received a carboplatin plus paclitaxel regimen. Expression levels of 82 angiogenesis related genes were measured by quantitative real-time polymerase chain reaction using TaqMan low-density arrays. A 34-gene-profile which was able to predict the overall survival of ovarian carcinoma patients was identified. After a leave-one-out cross validation, the profile distinguished two groups of patients with different outcomes. Median overall survival and progression-free survival for the high risk group was 28.3 and 15.0 months, respectively, and was not reached by patients in the low risk group at the end of follow-up. Moreover, the profile maintained an independent prognostic value in the multivariate analysis. The hazard ratio for death was 2.3 (95% CI, 1.5 to 3.2; p<0.001). CONCLUSIONS/SIGNIFICANCE It is possible to generate a prognostic model for advanced ovarian carcinoma based on angiogenesis-related genes using formalin-fixed paraffin-embedded samples. The present results are consistent with the increasing weight of angiogenesis genes in the prognosis of ovarian carcinoma.

Integrating Metalib and SFX into the BV-SSPA

Introduction To guarantee the success of a virtual library it is essential that all users can access all the library resources independently of the user’s location. Achieving this goal in the Andalusian Public Health System has been a particularly difficult task, due to it is made up of 10 research centers and 95.000 health-care professionals. Aims Since the BV-SSPA started three years ago, one of its mayor aims has been to provide remote access to all its resources in this complex scenario, as well as facilitate the access to the virtual library to both professionals and citizens. IP access was guaranteed because health-care professionals could access everything from their workplaces thanks to the intranet, but it was restricted when they were not there. The BV-SSPA solved this problem by installing a federated authentication and authorization system called PAPI and a PAPI rewriting proxy. After three years the BV-SSPA has met a new challenge: adapting its federated access system to Metalib and SFX, specifically the access management module PDS had to be connected with the existing PAPI system. This new challenge came along with the introduction of a new metasearcher and link resolver. Material and Methods Initially there were three independent systems: • A Metalib and SFX PDS module, • A federated authentication and authorization system: PAPI. • A PAPI Rewriting Proxy. The chosen solution went through the reutilization of the existing software. To achieve this goal, a PHP connector between these applications was developed and several modules in the PDS configuration were modified. On the other hand, providing a simplified access to Metalib has been solved using Xerxes and integrating it in a Drupal website. Results Thanks to this connector the BV-SSPA was able to get all its users remotely accessing its new metasearcher without changing the way they used to validate, or without having to remember a new username and password. Futhermore, thanks to Xerxes, it is possible to use Metalib from a simple interface and without having to leave the BV-SSPA website to go its native interface.

Prognosis Relevance of Serum Cytokines in Pancreatic Cancer.

The overall survival of patients with pancreatic ductal adenocarcinoma is extremely low. Although gemcitabine is the standard used chemotherapy for this disease, clinical outcomes do not reflect significant improvements, not even when combined with adjuvant treatments. There is an urgent need for prognosis markers to be found. The aim of this study was to analyze the potential value of serum cytokines to find a profile that can predict the clinical outcome in patients with pancreatic cancer and to establish a practical prognosis index that significantly predicts patients' outcomes. We have conducted an extensive analysis of serum prognosis biomarkers using an antibody array comprising 507 human cytokines. Overall survival was estimated using the Kaplan-Meier method. Univariate and multivariate Cox's proportional hazard models were used to analyze prognosis factors. To determine the extent that survival could be predicted based on this index, we used the leave-one-out cross-validation model. The multivariate model showed a better performance and it could represent a novel panel of serum cytokines that correlates to poor prognosis in pancreatic cancer. B7-1/CD80, EG-VEGF/PK1, IL-29, NRG1-beta1/HRG1-beta1, and PD-ECGF expressions portend a poor prognosis for patients with pancreatic cancer and these cytokines could represent novel therapeutic targets for this disease.