Immune Response in Ovarian Cancer: How Is the Immune System Involved in Prognosis and Therapy: Potential for Treatment Utilization

Ovarian cancer is one of the leading causes of cancer-related death among women. Resistance to the disease occurs in more than 70% of the cases even after treated with chemotherapy agents such as paclitaxel- and platinum-based agents. The immune system is increasingly becoming a target for intense research in order to study the host's immune response against ovarian cancer. T cell populations, including NK T cells and Tregs, and cytokines have been associated with disease outcome, indicating their increasing clinical significance, having been associated with prognosis and as markers of disease progress, respectively. Harnessing the immune system capacity in order to induce antitumor response remains a major challenge. This paper examines the recent developments in our understanding of the mechanisms of development of the immune response in ovarian cancer as well as its prognostic significance and the existing experience in clinical studies

Mapping of Human Autoantibody Binding Sites on the Calcium-Sensing Receptor

Previously, we have demonstrated the presence of anti-calcium-sensing receptor (CaSR) antibodies in patients with autoimmune polyglandular syndrome type 1 (APS1), a disease that is characterized in part by hypoparathyroidism involving hypocalcemia, hyperphosphatemia, and low serum levels of parathyroid hormone. The aim of this study was to define the binding domains on the CaSR of anti-CaSR antibodies found in APS1 patients and in one patient suspected of having autoimmune hypocalciuric hypercalcemia (AHH). A phage-display library of CaSR peptides was constructed and used in biopanning experiments with patient sera. Selectively enriched IgG-binding peptides were identified by DNA sequencing, and subsequently, immunoreactivity to these peptides was confirmed in ELISA. Anti-CaSR antibody binding sites were mapped to amino acid residues 41–69, 114–126, and 171–195 at the N-terminal of the extracellular domain of the receptor. The major autoepitope was localized in the 41–69 amino acid sequence of the CaSR with antibody reactivity demonstrated in 12 of 12 (100%) APS1 patients with anti-CaSR antibodies and in 1 AHH patient with anti-CaSR antibodies. Minor epitopes were located in the 114–126 and 171–195 amino acid domains, with antibody reactivity shown in 5 of 12 (42%) and 4 of 12 (33%) APS1 patients, respectively. The results indicate that epitopes for anti-CaSR antibodies in the AHH patient and in the APS1 patients who were studied are localized in the N-terminal of the extracellular domain of the receptor. The present work has demonstrated the successful use of phage-display technology in the discovery of CaSR-specific epitopes targeted by human anti-CaSR antibodies. © 2010 American Society for Bone and Mineral Research

Incremental Snapshotting in Transactional Dataflow SFaaS Systems

The adoption of the serverless architecture and the Function-as-a-Service model has significantly increased in recent years, with more enterprises migrating their software and hardware to the cloud. However, most applications require state management, leading to the use of external databases. To alleviate the burden of state management, there are systems known as SFaaS (Stateful Function-as-a-Service) that provide stateful functions. Despite their benefits, SFaaS systems still face challenges such as the need for transactional logic. Stateful streaming dataflow engines offer promising capabilities for implementing transactional SFaaS systems due to their exactly-once message delivery guarantees and global state management. Key-value stores serve as embedded databases in this architecture, making it crucial to carefully evaluate available options for suitable types of key-value stores.This work focuses on the implementation and evaluation of three distinct types of log-structured key-value stores within the context of serving as state-management backends for transactional dataflow systems. A key aspect of our implementations is the incorporation of efficient incremental snapshotting functionality. We explore the performance and suitability of these key-value stores in managing state and supporting transactional operations in dataflow systems.Computer Science | Data Science and Technolog