Department of Medical Physics, University of Wisconsin School of Medicine and Public Health, Madison, 53705, USA.
Cancer Biother Radiopharm. 2010 Aug;25(4):417-26. doi: 10.1089/cbr.2009.0754.
Assessment of targeted radionuclide therapy (TRT) agent effectiveness based on its pharmacokinetic (PK) properties could provide means to expedited agent development or its rejection. A broad PK model that predicts the relative effectiveness of TRT agents based on the relationship between their normal body (k(12), k(21)) and tumor (k(34), k(43)) PK parameters has been developed. A classic two-compartment open model decoupled from a tumor was used to represent the body. Analytically solved differential equations were used to develop a relationship that predicts TRT effectiveness. Various PK scenarios were created by pairing normal body PK parameters of 38 pharmaceuticals found in the literature with estimated tumor PK parameters. Each PK scenario resulted in a maximum permissible injected activity that limited the whole-body dose to 2 Gy and yielded a maximum delivered tumor dose. The model suggests that a k(34):k(43) ratio greater than 5 and a k(12):k(21) ratio less than 1 is effective at delivering doses that ensure sufficient solid tumor control. It was also shown that there is no direct relationship between tumor dose and acid dissociation constant (pK(a)), lipophilicity (log P), and fraction unbound (fu), which are important physicochemical properties. This study suggests that although effective TRT may be difficult to achieve for solid tumors, good TRT agents must have extremely desirable normal body PKs in conjunction with very high tumor retention. The developed PK TRT model could serve as a tool to compare the relative dosimetric effectiveness of existing TRT agents and novel TRT agents early in the developmental phase to potentially reject those that possess unfavorable PKs.
基于放射性配体治疗(TRT)药物的药代动力学(PK)特性来评估其疗效,可以为加快药物开发或淘汰药物提供依据。本研究开发了一种广泛的 PK 模型,该模型基于 TRT 药物正常体(k(12)、k(21))和肿瘤(k(34)、k(43))PK 参数之间的关系,预测 TRT 药物的相对疗效。采用经典的两室开放式模型来表示人体,该模型与肿瘤分离。采用解析解微分方程建立了一个预测 TRT 疗效的关系。通过将文献中发现的 38 种药物的正常体 PK 参数与估计的肿瘤 PK 参数进行配对,创建了各种 PK 场景。每种 PK 场景都会导致最大允许注射活性,将全身剂量限制在 2 Gy,并产生最大的肿瘤剂量。该模型表明,k(34):k(43)比值大于 5,k(12):k(21)比值小于 1,可有效输送确保实体瘤得到充分控制的剂量。研究还表明,肿瘤剂量与酸解离常数(pK(a))、脂溶性(log P)和未结合分数(fu)之间没有直接关系,这些都是重要的物理化学性质。本研究表明,尽管实体瘤的有效 TRT 可能难以实现,但良好的 TRT 药物必须具有理想的正常体 PK 特性,同时具有非常高的肿瘤保留率。所开发的 PK TRT 模型可以作为一种工具,在药物开发的早期阶段比较现有 TRT 药物和新型 TRT 药物的相对剂量学疗效,从而潜在地淘汰那些 PK 特性不理想的药物。