Tohi Yoichiro, Kato Takuma, Sugimoto Mikio
Department of Urology, Faculty of Medicine, Kagawa University, Kagawa 761-0793, Japan.
Cancers (Basel). 2023 Aug 25;15(17):4270. doi: 10.3390/cancers15174270.
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的中风险前列腺癌(PC)的一种有前景的方法,其目的是尽量减少过度治疗并维持生活质量。然而,对于在主动监测队列中识别“侵袭性前列腺癌”仍存在担忧,“侵袭性前列腺癌”是指具有较高进展潜力的癌症。先前的研究是主动监测期间侵袭性PC的预测指标。为了解决这个问题,有人提出了一种基于个性化风险的随访方法,该方法使用风险计算器整合临床数据、生物标志物和遗传因素。这种方法能够进行有效的风险评估和疾病进展的早期检测,最大限度地减少不必要的干预,并改善患者管理和治疗结果。随着主动监测适应症的扩大,通过基于个性化风险的随访来识别侵袭性PC的重要性预计会增加。