Feng Yusheng, Tinsley Oden J, Rylander Marissa Nichole
Computational Bioengineering and Nanotechnology Laboratory, Department of Mechanical Engineering, The University of Texas at San Antonio, San Antonio, TX 78249, USA.
J Biomech Eng. 2008 Aug;130(4):041016. doi: 10.1115/1.2947320.
The ultimate goal of cancer treatment utilizing thermotherapy is to eradicate tumors and minimize damage to surrounding host tissues. To achieve this goal, it is important to develop an accurate cell damage model to characterize the population of cell death under various thermal conditions. The traditional Arrhenius model is often used to characterize the damaged cell population under the assumption that the rate of cell damage is proportional to exp(-EaRT), where Ea is the activation energy, R is the universal gas constant, and T is the absolute temperature. However, this model is unable to capture transition phenomena over the entire hyperthermia and ablation temperature range, particularly during the initial stage of heating. Inspired by classical statistical thermodynamic principles, we propose a general two-state model to characterize the entire cell population with two distinct and measurable subpopulations of cells, in which each cell is in one of the two microstates, viable (live) and damaged (dead), respectively. The resulting cell viability can be expressed as C(tau,T)=exp(-Phi(tau,T)kT)(1+exp(-Phi(tau,T)kT)), where k is a constant. The in vitro cell viability experiments revealed that the function Phi(tau,T) can be defined as a function that is linear in exposure time tau when the temperature T is fixed, and linear as well in terms of the reciprocal of temperature T when the variable tau is held as constant. To determine parameters in the function Phi(tau,T), we use in vitro cell viability data from the experiments conducted with human prostate cancerous (PC3) and normal (RWPE-1) cells exposed to thermotherapeutic protocols to correlate with the proposed cell damage model. Very good agreement between experimental data and the derived damage model is obtained. In addition, the new two-state model has the advantage that is less sensitive and more robust due to its well behaved model parameters.
利用热疗法进行癌症治疗的最终目标是根除肿瘤并将对周围宿主组织的损害降至最低。为实现这一目标,开发一个准确的细胞损伤模型以表征在各种热条件下的细胞死亡群体非常重要。传统的阿伦尼乌斯模型通常用于表征受损细胞群体,其假设是细胞损伤速率与exp(-EaRT)成正比,其中Ea是活化能,R是通用气体常数,T是绝对温度。然而,该模型无法捕捉整个热疗和消融温度范围内的转变现象,特别是在加热的初始阶段。受经典统计热力学原理的启发,我们提出了一个通用的双态模型来表征整个细胞群体,该群体具有两个不同且可测量的细胞亚群,其中每个细胞分别处于两个微观状态之一,即可存活(活的)和受损(死的)。由此产生的细胞活力可以表示为C(tau,T)=exp(-Phi(tau,T)kT)(1+exp(-Phi(tau,T)kT)),其中k是一个常数。体外细胞活力实验表明,当温度T固定时,函数Phi(tau,T)可以定义为在暴露时间tau上呈线性的函数,并且当变量tau保持恒定时,在温度T的倒数方面也呈线性。为了确定函数Phi(tau,T)中的参数,我们使用来自人前列腺癌(PC3)和正常(RWPE-1)细胞暴露于热疗方案的实验中的体外细胞活力数据,使其与所提出的细胞损伤模型相关联。实验数据与推导的损伤模型之间取得了很好的一致性。此外,新的双态模型具有优势,由于其模型参数表现良好,因此不太敏感且更稳健。