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舒尼替尼靶向治疗和细胞因子作为转移性肾细胞癌一线治疗的无进展生存期和总生存期的预后因素。

Prognostic factors for progression-free and overall survival with sunitinib targeted therapy and with cytokine as first-line therapy in patients with metastatic renal cell carcinoma.

机构信息

Department of Epidemiology and Biostatistics, Memorial Sloan-Kettering Cancer Center, New York, NY 10021, USA.

出版信息

Ann Oncol. 2011 Feb;22(2):295-300. doi: 10.1093/annonc/mdq342. Epub 2010 Jul 25.

Abstract

BACKGROUND

Analysis of prognostic factors for progression-free survival (PFS) and overall survival (OS) was performed using final data from a randomized phase III trial of sunitinib versus interferon-α (IFN-α) as first-line metastatic renal cell carcinoma (RCC) therapy.

DESIGN

A multivariate Cox regression model analyzed baseline variables for prognostic significance. Each variable was investigated univariately and then multivariately using a stepwise algorithm.

RESULTS

Each treatment arm comprised 375 patients. For sunitinib, multivariate analysis of PFS identified five independent predictors, including serum lactate dehydrogenase (LDH) level, presence of ≥2 metastatic sites, no prior nephrectomy, Eastern Cooperative Oncology Group (ECOG) performance status, and baseline platelet count, while multivariate analysis of OS identified serum LDH level, corrected serum calcium level, time from diagnosis to treatment, hemoglobin level, ECOG performance status, and presence of bone metastasis as predictors. For IFN-α, LDH level and presence of ≥2 metastatic sites were common predictors of PFS to those for sunitinib, as were all predictors of OS except ECOG status.

CONCLUSIONS

This analysis identified prognostic factors for PFS and OS with sunitinib as first-line metastatic RCC therapy and confirmed that the Memorial Sloan-Kettering Cancer Center model is applicable in the era of targeted therapy.

摘要

背景

对无进展生存期 (PFS) 和总生存期 (OS) 的预后因素进行了分析,这些数据来自舒尼替尼与干扰素-α (IFN-α) 一线治疗转移性肾细胞癌 (RCC) 的随机 III 期试验的最终数据。

设计

多变量 Cox 回归模型分析了基线变量的预后意义。每个变量均进行了单变量分析,然后使用逐步算法进行多变量分析。

结果

每个治疗组均包括 375 例患者。对于舒尼替尼,PFS 的多变量分析确定了五个独立的预测因素,包括血清乳酸脱氢酶 (LDH) 水平、存在≥2 个转移部位、无肾切除术、东部肿瘤协作组 (ECOG) 表现状态和基线血小板计数,而 OS 的多变量分析确定了血清 LDH 水平、校正后的血清钙水平、从诊断到治疗的时间、血红蛋白水平、ECOG 表现状态和骨转移的存在是预测因素。对于 IFN-α,LDH 水平和存在≥2 个转移部位是与舒尼替尼的 PFS 相关的共同预测因素,除了 ECOG 状态外,也是 OS 的所有预测因素。

结论

这项分析确定了舒尼替尼作为转移性 RCC 一线治疗的 PFS 和 OS 的预后因素,并证实了纪念斯隆-凯特琳癌症中心的模型适用于靶向治疗时代。

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