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Prognostic Factors for Survival in Noncastrate Metastatic Prostate Cancer: Validation of the Glass Model and Development of a Novel Simplified Prognostic Model.

机译:在非rate割转移性前列腺癌中生存的预后因素:玻璃模型的验证和新型简化预后模型的开发。

摘要

BACKGROUND: The Glass model developed in 2003 uses prognostic factors for noncastrate metastatic prostate cancer (NCMPC) to define subgroups with good, intermediate, and poor prognosis. OBJECTIVE: To validate NCMPC risk groups in a more recently diagnosed population and to develop a more sensitive prognostic model. DESIGN, SETTING, AND PARTICIPANTS: NCMPC patients were randomized to receive continuous androgen deprivation therapy (ADT) with or without docetaxel in the GETUG-15 phase 3 trial. Potential prognostic factors were recorded: age, performance status, Gleason score, hemoglobin (Hb), prostate-specific antigen, alkaline phosphatase (ALP), lactate dehydrogenase (LDH), metastatic localization, body mass index, and pain. OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS: These factors were used to develop a new prognostic model using a recursive partitioning method. Before analysis, the data were split into learning and validation sets. The outcome was overall survival (OS). RESULTS AND LIMITATIONS: For the 385 patients included, those with good (49%), intermediate (29%), and poor (22%) prognosis had median OS of 69.0, 46.5 and 36.6 mo (p=0.001), and 5-yr survival estimates of 60.7%, 39.4%, and 32.1%, respectively (p=0.001). The most discriminatory variables in univariate analysis were ALP, pain intensity, Hb, LDH, and bone metastases. ALP was the strongest prognostic factor in discriminating patients with good or poor prognosis. In the learning set, median OS in patients with normal and abnormal ALP was 69.1 and 33.6 mo, and 5-yr survival estimates were 62.1% and 23.2%, respectively. The hazard ratio for ALP was 3.11 and 3.13 in the learning and validation sets, respectively. The discriminatory ability of ALP (concordance [C] index 0.64, 95% confidence interval [CI] 0.58-0.71) was superior to that of the Glass risk model (C-index 0.59, 95% CI 0.52-0.66). The study limitations include the limited number of patients and low values for the C-index. CONCLUSION: A new and simple prognostic model was developed for patients with NCMPC, underlying the role of normal or abnormal ALP. PATIENT SUMMARY: We analyzed clinical and biological factors that could affect overall survival in noncastrate metastatic prostate cancer. We showed that normal or abnormal alkaline phosphatase at baseline might be useful in predicting survival.
机译:背景:2003年开发的Glass模型使用非cast割性转移性前列腺癌(NCMPC)的预后因素来定义预后良好,中度和不良的亚组。目的:验证最近诊断人群中的NCMPC风险组,并建立更敏感的预后模型。设计,地点和参与者:在GETUG-15 3期试验中,NCMPC患者被随机分配接受或不接受多西他赛的连续雄激素剥夺治疗(ADT)。记录潜在的预后因素:年龄,表现状态,格里森评分,血红蛋白(Hb),前列腺特异性抗原,碱性磷酸酶(ALP),乳酸脱氢酶(LDH),转移性定位,体重指数和疼痛。结果测量和统计分析:这些因素用于使用递归划分方法开发新的预后模型。在分析之前,将数据分为学习集和验证集。结果是总体生存期(OS)。结果与局限性:包括385例患者,预后良好(49%),中度(29%)和不良(22%)的患者的中位OS为69.0、46.5和36.6 mo(p = 0.001)和5 yr生存估计分别为60.7%,39.4%和32.1%(p = 0.001)。单变量分析中最具区分性的变量是ALP,疼痛强度,Hb,LDH和骨转移。 ALP是区分预后良好或不良的最强预后因素。在学习集中,ALP正常和异常的患者的中位OS分别为69.1和33.6 mo,五年生存率分别为62.1%和23.2%。在学习和验证集中,ALP的危险比分别为3.11和3.13。 ALP的辨别能力(一致性[C]指数0.64,95%置信区间[CI] 0.58-0.71)优于Glass风险模型(C指数0.59,95%CI 0.52-0.66)。研究的局限性包括患者数量有限和C指数值低。结论:为NCMPC患者开发了一种新的简单的预后模型,其基础是正常或异常ALP的作用。病人总结:我们分析了可能影响非cast割转移性前列腺癌总体生存的临床和生物学因素。我们显示基线时正常或异常的碱性磷酸酶可能对预测生存率有用。

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