DYNAMIC ANDROGEN RESPONSE INDEX AND ITS ASSOCIATION WITH BIOCHEMICAL RECURRENCE AFTER RADICAL PROSTATECTOMY FOLLOWING NEOADJUVANT ANDROGEN DEPRIVATION THERAPY.

Ye Afanasiev, S Vozianov, R Danylets, V Grygorenko, O Shulyak, M Sosnin, I Kholokharenko
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Abstract

Background: Neoadjuvant androgen deprivation therapy (NADT) before radical prostatectomy (RP) remains controversial in the management of localized and locally advanced prostate cancer. A major limitation of this strategy is the lack of biomarkers capable of identifying tumors biologically sensitive to androgen deprivation. This study aimed to evaluate the prognostic value of a dynamic androgen response index (IAR) and develop a predictive model for biochemical recurrence (BCR) after RP.

Materials and methods: The retrospective single-center study included 84 patients with prostate cancer treated with NADT followed by RP. The IAR was defined as the ratio between logarithmic slopes of PSA and testosterone decline during neoadjuvant therapy. Cox regression analysis was performed to identify predictors of BCR. A predictive model and nomogram were constructed based on independent predictors. Model performance was evaluated using ROC analysis, calibration plots, and decision curve analysis.

Results: During a median follow-up of 56 months, BCR occurred in 62 patients. Clinical stage ≥ cT3a (HR 2.34; p = 0.003) and IAR (HR 1.48; p = 0.024) were independent predictors of BCR. The model demonstrated moderate discrimination (AUC 0.68) and satisfactory calibration.

Conclusions: The IAR may reflect the biological responsiveness of prostate cancer to androgen deprivation. These findings should be considered hypothesis-generating and require further validation in the context of risk stratification for BCR following RP after NADT.

动态雄激素反应指数及其与新辅助雄激素剥夺治疗根治性前列腺切除术后生化复发的关系。
背景:根治性前列腺切除术(RP)前的新辅助雄激素剥夺治疗(NADT)在局部和局部晚期前列腺癌的治疗中仍然存在争议。该策略的一个主要限制是缺乏能够识别对雄激素剥夺敏感的肿瘤的生物标志物。本研究旨在评估动态雄激素反应指数(IAR)的预后价值,并建立RP术后生化复发(BCR)的预测模型。材料与方法:回顾性单中心研究纳入84例前列腺癌NADT加RP治疗的患者。IAR定义为新辅助治疗期间PSA与睾酮下降的对数斜率之比。采用Cox回归分析确定BCR的预测因素。建立了基于独立预测因子的预测模型和模态图。采用ROC分析、校正图和决策曲线分析评估模型的性能。结果:在中位随访56个月期间,62例患者发生BCR。临床分期≥cT3a (HR 2.34, p = 0.003)和IAR (HR 1.48, p = 0.024)是BCR的独立预测因子。该模型具有中度判别(AUC 0.68)和令人满意的校准。结论:IAR可能反映前列腺癌对雄激素剥夺的生物学反应性。这些发现应该被认为是假设产生的,需要在NADT后RP后BCR风险分层的背景下进一步验证。
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