Jin Jian-Yue, Yuan Jiankui, Qin Xiaohang, Li Yinghui, Yan Huagang, Oleinick Nancy L, Yao Min, Pan Quintin, Kong Feng-Ming Spring, Machtay Mitchell
School of Biomedical Engineering, Capital Medical University, Beijing, China.
Beijing Chest Hospital, Capital Medical University, Beijing, China.
Front Oncol. 2024 Nov 27;14:1415213. doi: 10.3389/fonc.2024.1415213. eCollection 2024.
We aimed to develop a comprehensive proton relative biological effectiveness (RBE) model based on accumulated cell survival data in the literature. Our approach includes four major components: (1) Eligible cell survival data with various linear energy transfers (LETs) in the Particle Irradiation Data Ensemble (PIDE) database (72 datasets in four cell lines); (2) a cell survival model based on Poisson equation, with and defined as the ability to generate and repair damage, respectively, to replace the classic linear-quadratic model for fitting the cell survival data; (3) hypothetical linear relations of and on LET, or and ; and (4) a multi-curve fitting (MCF) approach to fit all cell survival data into the survival model and derive the , , , and values for each cell line. Dependences of these parameters on cell type were thus determined and finally a comprehensive RBE model was derived. MCF showed that ( , , , ) = (1.09, 0.0010, 0.96, 0.033), (1.10, 0.0015, 1.03, 0.023), (1.12, 0.0025, 0.99, 0.0085), and (1.17, 0.0025, 0.99, 0.013) for the four cell lines, respectively. Thus, = 1.12 ± 0.04, = 0.0019 ± 0.0008, = 0.99 ± 0.03, and = 0.013 ∗ , and approximately and . Consequently, a relatively reliable and comprehensive RBE model with dependence on LET, , , and dose per fraction was finally derived for potential clinical application.
我们旨在基于文献中积累的细胞存活数据，开发一个全面的质子相对生物效能（RBE）模型。我们的方法包括四个主要部分：（1）粒子辐照数据集成（PIDE）数据库中具有各种线性能量转移（LET）的合格细胞存活数据（四个细胞系中的72个数据集）；（2）基于泊松方程的细胞存活模型，其中 和 分别定义为产生和修复损伤的能力，以取代用于拟合细胞存活数据的经典线性二次模型；（3） 和 与LET的假设线性关系，或 和 ；以及（4）多曲线拟合（MCF）方法，将所有细胞存活数据拟合到存活模型中，并得出每个细胞系的 、 、 和 值。由此确定了这些参数对细胞类型的依赖性，最终得出了一个全面的RBE模型。MCF表明，四个细胞系的（ ， ， ， ）分别为（1.09，0.0010，0.96，0.033）、（1.10，0.0015，1.03，0.023）、（1.12，0.0025，0.99，0.0085）和（1.17，0.0025，0.99，0.013）。因此， = 1.12 ± 0.04， = 0.0019 ± 0.0008， = 0.99 ± 0.03，且 = 0.013 ∗ ，并且近似于 和 。最终，得出了一个相对可靠且全面的RBE模型，该模型依赖于LET、 、 和分次剂量，可用于潜在的临床应用。
