Collette Laurence, van Andel George, Bottomley Andrew, Oosterhof Gosse O N, Albrecht Walter, de Reijke Theo M, Fossà Sophie D
European Organisation for Research and Treatment of Cancer, Data Center-Biostatistics, Ave E. Mounier 83/11, B-1200 Brussels, Belgium.
J Clin Oncol. 2004 Oct 1;22(19):3877-85. doi: 10.1200/JCO.2004.07.089.
Patients with symptomatic metastatic hormone-resistant prostate cancer (HRPC) survive a median of 10 months and are often regarded as a homogeneous group. Few prognostic factors have been identified so far. We examined whether baseline health-related quality of life (HRQOL) parameters assessed by the European Organisation for Research and Treatment of Cancer Quality of Life Questionnaire C30 (EORTC QLQ-C30) were independent prognostic factors of survival and whether they bring extra precision to the predictions achievable with models based on clinical and biochemical factors only.
Data of 391 symptomatic (bone) metastatic HRPC patients from three randomized EORTC trials were used in multivariate Cox proportional hazards models. The significance level was set at alpha =.05.
Of the 391 patients, 371 died, most of prostate cancer. Bone scan result, performance status, hemoglobin level, and insomnia and appetite loss as measured by the EORTC QLQ-C30 were independent predictors of survival. This model's area under the receiver operating curve was 0.65 compared with 0.63 without the two HRQOL factors.
Certain HRQOL sores, at baseline, seem to be predictors for duration of survival in HRPC. However, such measurements do not add to the predictive ability of models based only on clinical and biochemical factors.
有症状的转移性激素抵抗性前列腺癌(HRPC)患者的中位生存期为10个月,通常被视为一个同质群体。到目前为止,几乎没有确定的预后因素。我们研究了通过欧洲癌症研究与治疗组织生活质量问卷C30(EORTC QLQ-C30)评估的基线健康相关生活质量(HRQOL)参数是否为生存的独立预后因素,以及它们是否能为仅基于临床和生化因素的模型所实现的预测带来额外的精确性。
来自三项EORTC随机试验的391例有症状(骨)转移性HRPC患者的数据用于多变量Cox比例风险模型。显著性水平设定为α = 0.05。
391例患者中,371例死亡,大多数死于前列腺癌。骨扫描结果、体能状态、血红蛋白水平以及EORTC QLQ-C30测量的失眠和食欲减退是生存的独立预测因素。该模型的受试者工作特征曲线下面积为0.65,而不包括这两个HRQOL因素时为0.63。
某些基线HRQOL评分似乎是HRPC患者生存时间的预测因素。然而,此类测量并未增加仅基于临床和生化因素的模型的预测能力。