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Comput Math Methods Med ; 2020: 7970265, 2020.
Article in English | MEDLINE | ID: mdl-32411286

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.


Subject(s)
Cancer Vaccines/therapeutic use , Immunotherapy/methods , Prostatic Neoplasms/therapy , Computational Biology , Humans , Immunotherapy/statistics & numerical data , Male , Mathematical Concepts , Models, Immunological , Prostatic Neoplasms/immunology , Prostatic Neoplasms/pathology , Tumor Escape , Vaccination/methods , Vaccination/statistics & numerical data
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