Mathematic Modeling of Tumor Growth During [177Lu]Lu-PSMA Therapy: Insights into Treatment Optimization

Nouran R.R. Zaid, Remco Bastiaannet, Rob Hobbs, George Sgouros
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Abstract

The treatment regimen for [177Lu]Lu-prostate-specific membrane antigen (PSMA) 617 therapy follows that of chemotherapy: 6 administrations of a fixed activity, each separated by 6 wk. Mathematic modeling can be used to test the hypothesis that the current treatment regimen for a radiopharmaceutical modality is suboptimal. Methods: A mathematic model was developed to describe tumor growth during [177Lu]Lu-PSMA therapy. The model examined alternative treatment schedules to maximize tumor mass reduction while still maintaining an acceptable biologically effective dose to kidneys. Median patients’ pharmacokinetics from literature reports were used to obtain the dose rate over time. The model incorporates the Gompertz tumor growth and linear quadratic models to describe the effect of radiation-induced cell kill on tumor growth. For a fixed total activity of 44.4 GBq of [177Lu]Lu-PSMA-617 and a 6-wk interval between cycles, the efficacy of the standard fractionation (6-cycle) treatment schedule was compared with different treatment regimens for a distribution of published tumor masses. A treatment schedule whereby 7.4 GBq are administered in the first cycle, and the remaining activity (37 GBq) in the second cycle (1-2-cycle treatment), was examined. Results: When tumor mass nadir was used as the optimization metric, a lower tumor burden (e.g., <4 g) was insensitive to the number of cycles; the 6-cycle treatment was equivalent to the 1-2-cycle treatment. For larger masses, fewer cycles yielded better results. For a 7-g tumor, the 5-cycle, 4-cycle, 3-cycle and 1-2-cycle schedules were 24%, 50%, 76%, and 84% more efficacious, respectively, than the 6-cycle schedule. The absorbed doses to kidneys, parotid glands, lacrimal glands, and red marrow were 23, 16, 70, and 1 Gy, respectively. In all fractionated schedules, the biologically effective dose to kidneys was within tolerance (<40 Gy). Conclusion: On the basis of model-derived simulations, treatment delivered in a 1-2-cycle schedule is recommended to achieve better outcomes for patients undergoing [177Lu]Lu-PSMA therapy.

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肿瘤在[177Lu]Lu-PSMA治疗过程中生长的数学模型:治疗优化的启示
[177Lu] lu -前列腺特异性膜抗原(PSMA) 617治疗方案遵循化疗方案:固定活性的6次给药,每次间隔6周。数学模型可以用来检验假设,目前的治疗方案的放射性药物模式是次优的。方法:建立数学模型来描述[177Lu]Lu-PSMA治疗期间肿瘤的生长情况。该模型研究了可选择的治疗方案,以最大限度地减少肿瘤质量,同时仍保持可接受的对肾脏的生物有效剂量。使用文献报告中患者药代动力学的中位数来获得剂量率随时间的变化。该模型结合了Gompertz肿瘤生长模型和线性二次模型来描述辐射诱导的细胞杀伤对肿瘤生长的影响。对于[177Lu]Lu-PSMA-617的固定总活性为44.4 GBq,周期间隔为6周,对已公布肿瘤肿块分布的不同治疗方案进行标准分步(6周)治疗方案的疗效比较。研究了一个治疗方案,即在第一个周期中给予7.4 GBq,在第二个周期(1-2周期治疗)中剩余的活性(37 GBq)。结果:以肿瘤质量最低点为优化指标时,较低的肿瘤负荷(如4 g)对循环次数不敏感;6周期处理与1-2周期处理相当。对于较大的质量,更少的循环产生更好的结果。对于7g肿瘤,5周期、4周期、3周期和1-2周期方案分别比6周期方案有效率24%、50%、76%和84%。肾脏、腮腺、泪腺和红骨髓的吸收剂量分别为23、16、70和1 Gy。在所有分级方案中,肾脏的生物有效剂量均在耐受范围内(40 Gy)。结论:基于模型衍生的模拟,建议采用1-2周期的治疗方案对接受[177Lu]Lu-PSMA治疗的患者获得更好的结果。
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