Accession Number : AD1033857

Title :   Deconvoluting the Complexity of Bone Metastatic Prostate Cancer via Computational Modeling

Descriptive Note : Technical Report,03 Aug 2015,02 Aug 2016

Corporate Author : H. Lee Moffitt Cancer Center and Research TAMPA United States

Personal Author(s) : Araujo,Arturo

Full Text :

Report Date : 01 Sep 2016

Pagination or Media Count : 28

Abstract : TGF is a key regulator of bone development and is a key regulator in the vicious cycle of Prostate to Bone Metastasis. However, from a therapeutic standpoint, targeting TGF presents a dilemma given its noted pleiotropic roles. We hypothesize that an integrated computational modeling approach can be used to predict the temporal behavior of bone metastatic prostate cancer heterogeneous for TGF and further can be used to test the efficacy of putative therapies based on TGF inhibition. Multiple simulations and robust statistical post analyses will determine the role of TGF in the process. Our goal is to obtain a computational model of bone metastatic prostate cancer that can rapidly assess a putative TGF therapy in regards to efficacy and how to synergize with existing therapies to tackle heterogeneous metastases. This specialized research will be ultimately be used develop the PI professionally transition into an independent researcher.

Descriptors :   bone diseases , osteogenesis , predictive modeling , prostate cancer , stromal cells , therapeutics , cell line , differential equations , neoplasms , computational modeling , growth factors , BIOLOGICAL STAINING AND LABELING , oncology

Subject Categories : Medicine and Medical Research

Distribution Statement : APPROVED FOR PUBLIC RELEASE