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肿瘤内感染灶的放射状扩张和融合的数学模型预测了溶瘤病毒治疗的治愈性参数。

Mathematical model for radial expansion and conflation of intratumoral infectious centers predicts curative oncolytic virotherapy parameters.

机构信息

Department of Biomedical Statistics and Informatics, Mayo Clinic, Rochester, Minnesota, United States of America.

出版信息

PLoS One. 2013 Sep 11;8(9):e73759. doi: 10.1371/journal.pone.0073759. eCollection 2013.

Abstract

Simple, inductive mathematical models of oncolytic virotherapy are needed to guide protocol design and improve treatment outcomes. Analysis of plasmacytomas regressing after a single intravenous dose of oncolytic vesicular stomatitis virus in myeloma animal models revealed that intratumoral virus spread was spatially constrained, occurring almost exclusively through radial expansion of randomly distributed infectious centers. From these experimental observations we developed a simple model to calculate the probability of survival for any cell within a treated tumor. The model predicted that small changes to the density of initially infected cells or to the average maximum radius of infected centers would have a major impact on treatment outcome, and this was confirmed experimentally. The new model provides a useful and flexible tool for virotherapy protocol optimization.

摘要

简单的、归纳性的溶瘤病毒治疗数学模型对于指导方案设计和改善治疗结果非常必要。对骨髓瘤动物模型中单次静脉注射溶瘤单纯疱疹病毒后消退的浆细胞瘤进行分析,结果显示肿瘤内病毒的传播受到空间限制,几乎完全通过随机分布的感染中心的径向扩展进行。基于这些实验观察,我们开发了一个简单的模型来计算治疗肿瘤中任何一个细胞的存活概率。该模型预测,初始感染细胞密度或感染中心平均最大半径的微小变化将对治疗结果产生重大影响,这一预测在实验中得到了证实。新模型为病毒治疗方案优化提供了一个有用且灵活的工具。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/56ea/3770695/8b7d0f272bb8/pone.0073759.g001.jpg

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