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Nadir prostate-specific antigen as a predictor of progression to androgen-independent prostate cancer.

机译:天底前列腺特异抗原可预测非雄激素非依赖性前列腺癌的进展。

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OBJECTIVES: To determine the value of the before and after treatment level of prostate-specific antigen (PSA) to predict the time to androgen-independent progression (AIP) in patients with advanced prostate cancer who received androgen-deprivation therapy (ADT) at the time of recurrence or progression. METHODS: The records of 153 patients with advanced or metastatic prostate cancer who were treated with ADT were retrospectively reviewed. Fifty-six percent of the patients were initially treated with ADT. In the remainder, ADT was started at progression and/or failure. AIP was defined as two consecutive elevations of serum PSA above the nadir value by any threshold. Kaplan-Meier and multiple logistic regression analyses were used to determine the potential predictors of AIP. RESULTS: The median duration of the PSA response was 24 months. The most important predictors of the time to AIP were the initial Gleason grade and the nadir PSA level after the initiation of ADT. The odds ratio of having a response greater than 24 months was 15-times higher in patients achieving an undetectable serum PSA level versus those who did not. For each point increase in the Gleason sum, patients had a five times higher chance of progressing to AIP in 24 months or less. CONCLUSIONS: The ability to achieve an undetectable nadir PSA level and the initial Gleason grade are significant predictors of the time to AIP in men treated with ADT for metastatic and advanced prostate cancer.
机译:目的:确定治疗前和治疗后前列腺特异性抗原(PSA)水平的值,以预测在此期间接受雄激素剥夺治疗(ADT)的晚期前列腺癌患者达到雄激素非依赖性进展(AIP)的时间。复发或进展的时间。方法:回顾性分析153例接受ADT治疗的晚期或转移性前列腺癌患者的病历。 56%的患者最初接受ADT治疗。在其他情况下,ADT在进展和/或失败时开始。 AIP定义为血清PSA连续两次升高,高于最低值超过任何阈值。 Kaplan-Meier和多元逻辑回归分析用于确定AIP的潜在预测因子。结果:PSA反应的中位时间为24个月。 AIP时间最重要的预测因素是初始Gleason评分和ADT启动后的最低PSA水平。血清PSA水平未检出的患者,应答超过24个月的比值比高出15倍。对于格里森总和的每增加一点,患者在24个月或更短的时间内发展为AIP的机会就会增加五倍。结论:达到无法检测到的最低PSA水平和最初的Gleason等级的能力是ADT治疗转移性和晚期前列腺癌的男性达到AIP时间的重要预测指标。

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