Denis-Bacelar Ana M, Chittenden Sarah J, Murray Iain, Divoli Antigoni, Ralph McCready V, Dearnaley David P, O'Sullivan Joe M, Johnson Bernadette, Flux Glenn D
Joint Department of Physics, The Institute of Cancer Research and The Royal Marsden Hospital NHS Foundation Trust, London, United Kingdom.
Phys Med Biol. 2017 Apr 7;62(7):2859-2870. doi: 10.1088/1361-6560/aa5e6f.
Skeletal tumour burden is a biomarker of prognosis and survival in cancer patients. This study proposes a novel method based on the linear quadratic model to predict the reduction in metastatic tumour burden as a function of the absorbed doses delivered from molecular radiotherapy treatments. The range of absorbed doses necessary to eradicate all the bone lesions and to reduce the metastatic burden was investigated in a cohort of 22 patients with bone metastases from castration-resistant prostate cancer. A metastatic burden reduction curve was generated for each patient, which predicts the reduction in metastatic burden as a function of the patient mean absorbed dose, defined as the mean of all the lesion absorbed doses in any given patient. In the patient cohort studied, the median of the patient mean absorbed dose predicted to reduce the metastatic burden by 50% was 89 Gy (interquartile range: 83-105 Gy), whilst a median of 183 Gy (interquartile range: 107-247 Gy) was found necessary to eradicate all metastases in a given patient. The absorbed dose required to eradicate all the lesions was strongly correlated with the variability of the absorbed doses delivered to multiple lesions in a given patient (r = 0.98, P < 0.0001). The metastatic burden reduction curves showed a potential large reduction in metastatic burden for a small increase in absorbed dose in 91% of patients. The results indicate the range of absorbed doses required to potentially obtain a significant survival benefit. The metastatic burden reduction method provides a simple tool that could be used in routine clinical practice for patient selection and to indicate the required administered activity to achieve a predicted patient mean absorbed dose and reduction in metastatic tumour burden.
骨肿瘤负荷是癌症患者预后和生存的生物标志物。本研究提出了一种基于线性二次模型的新方法,用于预测分子放射治疗所给予的吸收剂量与转移性肿瘤负荷降低之间的函数关系。在一组22例去势抵抗性前列腺癌骨转移患者中,研究了根除所有骨病变和降低转移负荷所需的吸收剂量范围。为每位患者生成了转移性负荷降低曲线,该曲线预测转移性负荷降低与患者平均吸收剂量之间的函数关系,患者平均吸收剂量定义为任何给定患者所有病变吸收剂量的平均值。在所研究的患者队列中,预计转移性负荷降低50%的患者平均吸收剂量中位数为89 Gy(四分位间距:83 - 105 Gy),而在给定患者中根除所有转移灶则需要中位数为183 Gy(四分位间距:107 - 247 Gy)。根除所有病变所需的吸收剂量与给定患者多个病变所给予的吸收剂量变异性密切相关(r = 0.98,P < 0.0001)。转移性负荷降低曲线显示,91%的患者吸收剂量小幅增加时,转移性负荷可能大幅降低。结果表明了可能获得显著生存获益所需的吸收剂量范围。转移性负荷降低方法提供了一种简单工具,可用于常规临床实践中的患者选择,并指示所需的给药活度,以实现预测的患者平均吸收剂量和转移性肿瘤负荷降低。