Active surveillance has emerged as a promising approach for managing low-risk and favorable intermediate-risk prostate cancer (PC), with the aim of minimizing overtreatment and maintaining the quality of life. However, concerns remain about identifying “aggressive prostate cancer” within the active surveillance cohort, which refers to cancers with a higher potential for progression. Previous studies are predictors of aggressive PC during active surveillance. To address this, a personalized risk-based follow-up approach that integrates clinical data, biomarkers, and genetic factors using risk calculators was proposed. This approach enables an efficient risk assessment and the early detection of disease progression, minimizes unnecessary interventions, and improves patient management and outcomes. As active surveillance indications expand, the importance of identifying aggressive PC through a personalized risk-based follow-up is expected to increase.
主动监测已成为管理低风险和有利中风险前列腺癌的一种前景广阔的方法,旨在减少过度治疗并维持患者生活质量。然而,如何从主动监测队列中识别具有较高进展潜力的“侵袭性前列腺癌”仍是临床关注的重点。既往研究已探索了主动监测期间侵袭性前列腺癌的预测因素。为此,我们提出一种整合临床数据、生物标志物和遗传因素的个性化风险分层随访策略,通过风险计算器实现高效风险评估与疾病进展的早期识别,从而最大限度减少不必要的干预措施,优化患者管理与临床结局。随着主动监测适应证的扩展,基于个性化风险分层随访识别侵袭性前列腺癌的重要性将日益凸显。
Aggressive Prostate Cancer in Patients Treated with Active Surveillance