Mathematical Prostate Cancer Evolution: Effect of Immunotherapy Based on Controlled Vaccination Strategy

Abstract

Basic immunology research over several decades has led to an improved understanding of tumour recognition by components of the immune system and mechanism of tumour evasion from immune detection. These findings have ultimately led to creating antitumour immunotherapies in patients with different kind of cancer including prostate cancer. The increasing number of reports confirms that immune-based therapies have clinical benefit in patients with prostate cancer with potentially less toxicity in comparison with traditional systemic treatments including surgical resection, chemotherapy, or radiotherapy in various forms. This review focuses on the possibility of modulation of the optimal immunotherapy based on vaccination strategy adopted to individual patients in order to increase quality and quantity of their life.

Towards Unsupervised Learning Driven Intelligence for Prediction of Prostate Cancer

“…Although this paper is not a theoretical study, the intention is to present a mathematical model around prostate cancer and immunotherapy to show a mathematical relationship between the different variables and immunotherapy action as part of the prostate cancer disease. The models presented here are adopted from the work done by Kronik et al [26] and Badziul et al [27], as follows:…”

Standing Variations Modeling Captures Inter-Individual Heterogeneity in a Deterministic Model of Prostate Cancer Response to Combination Therapy

“…We build on previously proposed mathematical models of PCa response to ADT [ 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 ], as well as models of tumor-immune interactions (we refer the reader to [ 29 , 30 ] for recent reviews). Recent studies have also reported models of PCa response to vaccination alone [ 31 , 32 ] or in combination with ADT [ 33 ]. Our approach differs from these in three major respects.…”