Suppr超能文献

阿比特龙治疗化疗前后患者总生存期的预后评分

A prognostic score for overall survival in patients treated with abiraterone in the pre- and post-chemotherapy setting.

作者信息

Boegemann Martin, Schlack Katrin, Früchtenicht Lena, Steinestel Julie, Schrader Andres Jan, Wennmann Yvonne, Krabbe Laura-Maria, Eminaga Okyaz

机构信息

Department of Urology, University of Muenster Medical Center, Muenster, Germany.

Department of Urology, Augsburg Medical Center, Augburg, Germany.

出版信息

Oncotarget. 2019 Aug 20;10(49):5082-5091. doi: 10.18632/oncotarget.27133.

Abstract

Therapy resistance remains a serious dilemma in metastatic castration-resistant prostate cancer (mCRPC) with primary or secondary resistance frequently occurring against any given therapy. Available prognostic models for Abiraterone Acetate (AA) are specifically designed for either pre- or post-chemotherapy settings and mostly based on trial datasets not necessarily reflecting real-life. A score of 0-2 (low-risk) is associated with an OS-probability of 80.0% (95%CI: 71.3-90.6) and 50.5% (95%CI: 38.7-66.0) after 1 and 2 years while a score of 3-4 (high risk) is associated with an OS-probability of 35.3% (95%CI: 22.3-55.8) and 5.7% (95%CI: 1.5-21.8), respectively. The bootstrapping survival analysis of the scoring-system revealed a median c-index of 0.80 (IQR: 0.79-0.82). We developed a scoring-system using four real-life parameters 117 mCRPC patients treated with AA either pre- or post-chemotherapy. These parameters were evaluated using COX regression analysis. The scoring-system consists of binary-categorized parameters; when any of these exceeds the given cut-off, one point is added up to a final score ranging between 0-4 points. The final score was stratified by a median threshold of 2 into low- and high-risk groups. We evaluated the discriminative ability of our scoring-system using concordance probability (C-index) and Kaplan-Meier-analysis and applied a 100-times bootstrap for survival analysis. Our study introduces a novel prognostic scoring-system for OS of real-life mCRPC patients receiving AA treatment irrespective of the line of therapy. The scoring-system is simple and can be easily utilized based on PSA and LDH values, neutrophil to lymphocyte ratio, and ECOG performance status.

摘要

治疗耐药仍然是转移性去势抵抗性前列腺癌(mCRPC)中的一个严重难题,对任何给定治疗方案,原发性或继发性耐药都经常出现。醋酸阿比特龙(AA)现有的预后模型是专门为化疗前或化疗后情况设计的,且大多基于试验数据集,不一定能反映现实情况。评分0 - 2分(低风险)与1年和2年后的总生存期概率分别为80.0%(95%CI:71.3 - 90.6)和50.5%(95%CI:38.7 - 66.0)相关,而评分3 - 4分(高风险)分别与总生存期概率35.3%(95%CI:22.3 - 55.8)和5.7%(95%CI:1.5 - 21.8)相关。该评分系统的自抽样生存分析显示,中位c指数为0.80(IQR:0.79 - 0.82)。我们使用四个现实生活参数为117例接受化疗前或化疗后AA治疗的mCRPC患者开发了一个评分系统。这些参数通过COX回归分析进行评估。该评分系统由二元分类参数组成;当其中任何一个超过给定阈值时,加1分,最终得分范围为0 - 4分。最终得分通过中位数阈值2分为低风险和高风险组。我们使用一致性概率(C指数)和Kaplan - Meier分析评估了我们评分系统的判别能力,并应用100次自抽样进行生存分析。我们的研究为接受AA治疗的现实生活中的mCRPC患者的总生存期引入了一种新的预后评分系统,无论治疗线数如何。该评分系统简单,基于PSA和LDH值、中性粒细胞与淋巴细胞比值以及ECOG体能状态即可轻松使用。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验