Prediction of treatment efficacy for prostate cancer using a mathematical model

被引：32

作者：

Peng, Huiming ^{[1
]}

Zhao, Weiling ^{[1
]}

Tan, Hua ^{[1
]}

Ji, Zhiwei ^{[1
]}

Li, Jingsong ^{[2
]}

Li, King ^{[1
]}

Zhou, Xiaobo ^{[1
]}

机构：

[1] Wake Forest Sch Med, Div Radiol Sci, Ctr Bioinformat & Syst Biol, Med Ctr Blvd, Winston Salem, NC 27157 USA

[2] Zhejiang Univ, Coll Biomed Engn & Instrument Sci, Hangzhou 310003, Zhejiang, Peoples R China

来源：

SCIENTIFIC REPORTS | 2016年 / 6卷

关键词：

ANDROGEN-DEPRIVATION THERAPY; COMBINATION THERAPY; IMMUNE FUNCTION; TUMOR; CASTRATION; IMMUNOTHERAPY; ABLATION; CELLS; QUANTIFICATION; PROGRESSION;

D O I：

10.1038/srep21599

中图分类号：

O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];

学科分类号：

07 ; 0710 ; 09 ;

摘要：

Prostate immune system plays a critical role in the regulation of prostate cancer development regarding androgen-deprivation therapy (ADT) and/or immunotherapy (vaccination). In this study, we developed a mathematical model to explore the interactions between prostate tumor and immune microenvironment. This model was used to predict treatment outcomes for prostate cancer with ADT, vaccination, Treg depletion and/or IL-2 neutralization. Animal data were used to guide construction, parameter selection, and validation of our model. Our analysis shows that Treg depletion and/or IL-2 neutralization can effectively improve the treatment efficacy of combined therapy with ADT and vaccination. Treg depletion has a higher synergetic effect than that from IL-2 neutralization. This study highlights a potential therapeutic strategy in effectively managing prostate tumor growth and provides a framework of systems biology approach in studying tumor-related immune mechanism and consequent selection of therapeutic regimens.

引用

页数：13

共 44 条

[1] Development of Novel Immune Interventions for Prostate Cancer [J].