A Composite Synergistic Systems Model for Exploring the Efficacies of Different Chemotherapeutic Strategies in Cancer. (9th December 2013)

• Record Type: Journal Article
• Authors: Dhar, Probir Kumar; Majumder, Durjoy
• Other Names: Clement Marie-Veronique Academic Editor.
• Is Part Of: Computational biology journal. Volume 2013(2013)
• Publication Date: 2013-12-09
• Subjects: Computational biology -- Periodicals; Computational biology; Biología -- Publicaciones periódicas; Ciencias -- Publicaciones periódicas; Periodicals; Electronic journals; 570.285
• DOI: 10.1155/2013/301369
• Languages: English
• ISSNs: 2314-4165

Abstract

Abstract : Different chemotherapeutic strategies like Maximum Tolerable Dosing (MTD), Metronomic Chemotherapy (MCT), and Antiangiogenic (AAG) drug are available; however, the selection of the best therapeutic strategy for an individual patient remains uncertain till now. Several analytical models are proposed for each of the chemotherapeutic strategies; however, no single analytical model is available which can make a comparative assessment regarding the long-term therapeutic efficacy among these strategies. This, in turn, may limit the clinical application of such analytical models. To address this issue here we developed a composite synergistic system (CSS) model. Through this CSS model, comparative assessment among the MTD, MCT, and AAG drug therapy can be assessed. Moreover, these chemotherapeutic strategies along with different supportive therapies like Hematopoietic Stem Cell transplantation (HSC), cellular immunotherapy as well as different combinations among these therapeutic strategies can be assessed. Fitting of initial clinical data of individual clinical cases to this analytical model followed by simulation runs may help in making such decision. Analytical assessments suggest that with the considered tumor condition MCT alone could be more effective one than any other therapeutics and/or their combinations for controlling the long-term tumor burden.