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数学前列腺癌演进:基于控制接种策略的免疫治疗效果。

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

机构信息

Medical Faculty, University of Rzeszów, Rejtana 16A, 35-959 Rzeszów, Poland.

Faculty of Mathematics and Natural Sciences, University of Rzeszów, Rejtana 16A, 35-959 Rzeszów, Poland.

出版信息

Comput Math Methods Med. 2020 Jan 13;2020:7970265. doi: 10.1155/2020/7970265. eCollection 2020.

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.

摘要

几十年来的基础免疫学研究,使人们对免疫系统识别肿瘤的机制以及肿瘤逃避免疫检测的机制有了更好的了解。这些发现最终导致了针对不同类型癌症(包括前列腺癌)患者的抗肿瘤免疫疗法的产生。越来越多的报告证实,与传统的全身治疗(包括手术切除、化疗或放疗的各种形式)相比,免疫疗法在前列腺癌患者中具有临床获益,且潜在毒性更小。本文重点讨论了根据个体患者所采用的疫苗接种策略来调节最佳免疫疗法的可能性,以提高他们的生活质量和数量。

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