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.
Highlights
Today, there are a number of immune-based cancer treatments in development for prostate cancer (PC)
Is 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
One can shown that the efficacy of immunotherapy can be improved by changing the interdosing intervals rather than the dose itself [4, 5]. ese facts suggest that, in order to achieve the best prostate cancer treatment, an optimal vaccination strategy matched to individual patients should be found [6, 7]
Summary
There are a number of immune-based cancer treatments in development for prostate cancer (PC). Our proposed vaccination schedule is taking into account the personal dynamics of the immune system and the rate of disease processes. Based on these data, it may be possible to better understand the field of therapeutic cancer vaccines. Sobol’ global analysis is changing all of the model parameters at the same time and allows discriminating between insensitive and sensitive model parameters [13] This approach is proven to be one of the most robust and effective tools to describe individual and cooperative sensitivities. We have calculated the parameters sensitivities of a PC immunotherapy model presented in equations (1)–(7)) based on Sobol’ probability distribution function. To calculate the sensitivity indices (first order, global), we used the Matlab software tool GSAT (Global Sensitivity Analysis Toolbox) [14]
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