Lancet:回顾性分析:晚期前列腺癌患者治疗期间肿瘤消退和生长速率评估

2016-12-13 MedSci MedSci原创

试验对Project Data Sphere LLC(Cary,NC,USA)(一个非营利的通用数据共享仓库)提供的临床试验数据建模,旨在使用8个随机临床试验的比较组来评估癌症生长和消退的速度,其中包括转移性去势抵抗性前列腺癌患者。

试验对Project Data Sphere LLC(Cary,NC,USA)(一个非营利的通用数据共享仓库)提供的临床试验数据建模,旨在使用8个随机临床试验的比较组来评估癌症生长和消退的速度,其中包括转移性去势抵抗性前列腺癌患者。

在这项回顾性分析中,试验使用来自八个具有转移性去势抵抗性前列腺癌的随机临床试验的数据来估计疾病负担随时间的生长(g)和回归(d)率。通过前列腺特异性抗原水平建模来代表肿瘤数量测算生长率和回归率。对比了治疗期间(泼尼松,米托蒽醌和多西紫杉醇)和停药后肿瘤数据,以了解治疗期间与停药后疾病行为的变化。肿瘤生长率与病人生存率共同作为试验研究终点,以减少肿瘤大小对试验结果的影响。

试验共从2353例患者(88%,共2678例)获得可用于分析的数据(生长率,回归率或两者)。试验数据可以看到,多西他赛组与泼尼松和米托蒽醌组在8个月时可明显看出肿瘤生长率出现差异,并且可以预测患者的生存率差异。用肿瘤生长率作为研究终点进行模拟样本大小的分析可以看出,多西他赛组和米托蒽醌组在小样本量中即可显示出80%的效果(在3个多西他赛比较组中分别有16,47和25例患者)。当将米托蒽醌数据与泼尼松的数据(3个米托蒽醌比较组中分别有41,39和41例患者)进行比较时,发现了类似的结果。最终,在停止多西他赛治疗后,中位的肿瘤生长率增长了近五倍。

将数学模型应用于现有的临床数据来评估肿瘤的生长和回归率,为移性去势抵抗性前列腺癌提供了新的见解。通过项目数据领域等项目结合创新建模技术,可以大大增强医生对癌症治疗反应的理解,并加速临床临床研究进度。

原始出处:Wilkerson J, Abdallah K, Hugh-Jones C, Curt G, Rothenberg M, Simantov R, et al. Estimation of tumour regression and growth rates during treatment in patients with advanced prostate cancer: a retrospective analysis. The Lancet Oncology.

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    2017-06-16 howi
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    2016-12-18 虈亣靌

    谢谢分享,学习了

    0

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