Sirott M N, Bajorin D F, Wong G Y, Tao Y, Chapman P B, Templeton M A, Houghton A N
Department of Medicine, Memorial Sloan-Kettering Cancer Center, New York, NY 10021.
Cancer. 1993 Nov 15;72(10):3091-8. doi: 10.1002/1097-0142(19931115)72:10<3091::aid-cncr2820721034>3.0.co;2-v.
Current methods to predict survival in patients with advanced, metastatic melanoma are limited. To determine clinical prognostic factors that accurately predict survival in patients with metastatic melanoma, a retrospective analysis was performed.
Clinical, hematologic, and biochemical pretreatment parameters from 284 patients entered on 18 Phase I and II clinical trials were analyzed to determine their prognostic effect on survival. A multivariate parametric regression based on the Weibull distribution was derived to estimate survival.
Multivariate Weibull survival regression analysis showed that a simple model using the logarithm of the pretreatment values of lactate dehydrogenase and serum albumin, dichotomized as high and low, significantly and adequately predicted survival. A more complex multivariate model was also derived that involved the pretreatment platelet count, visceral organ involvement, and gender as additional factors. However, a larger study is needed to statistically validate such a model.
The pretreatment values of serum lactate dehydrogenase and albumin are independent prognostic factors for survival in patients with metastatic melanoma. These two factors can be used to estimate survival of patients with advanced, metastatic melanoma and should be considered when designing melanoma trials in which survival is an endpoint.
目前预测晚期转移性黑色素瘤患者生存率的方法有限。为了确定能准确预测转移性黑色素瘤患者生存率的临床预后因素,进行了一项回顾性分析。
分析了参与18项I期和II期临床试验的284例患者的临床、血液学和生化预处理参数,以确定它们对生存率的预后影响。推导了基于威布尔分布的多变量参数回归模型来估计生存率。
多变量威布尔生存回归分析表明,一个简单的模型,即使用乳酸脱氢酶和血清白蛋白预处理值的对数,并分为高值和低值,能显著且充分地预测生存率。还推导了一个更复杂的多变量模型,该模型将预处理血小板计数、内脏器官受累情况和性别作为额外因素纳入。然而,需要更大规模的研究来对这样一个模型进行统计学验证。
血清乳酸脱氢酶和白蛋白的预处理值是转移性黑色素瘤患者生存的独立预后因素。这两个因素可用于估计晚期转移性黑色素瘤患者的生存率,并且在设计以生存率为终点的黑色素瘤试验时应予以考虑。