Wu Mingshuang, Pan Chenxi, He Yi, Yang Bo
Department of Urology, The Second Affiliated Hospital of Dalian Medical University, Dalian, Liaoning, People's Republic of China.
Cancer Manag Res. 2023 Sep 18;15:1015-1024. doi: 10.2147/CMAR.S425181. eCollection 2023.
The goal of this study was to assess the prognostic impact of the lower urinary tract symptoms (LUTS) in advanced prostate cancer (PCa) patients before progression to castration-resistant prostate cancer (CRPC).
A retrospective analysis of the follow-up data for 152 CRPC patients was performed. Severe LUTS symptom was defined as an International Prostate Symptoms Score (IPSS) ≥20 at baseline. Cox regression analysis was conducted to assess CRPC prognostic factors. Nomogram model was created and assessed using the concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curves, and decision curve analyses (DCA).
The median CRPC free survival of patients with severe LUTS was 20.5 months, significantly longer than that (7.5 months) of less symptomatic patients. Furthermore, severe LUTS, the hemoglobin, albumin, lymphocyte, and platelet (HALP) score, and Gleason sum were determined to be independent prognostic markers and combined to establish a nomogram, which performed well in the customized prediction of CRPC progression at 6th, 12th, 18th and 24th month. The C-index (0.794 and 0.816 for the training and validation cohorts, respectively), calibration curve, and ROC curve all validated the prediction accuracy. DCA curve showed that it could be effective in helping doctors make judgments. The Nomogram-related risk score separated the patients into two groups with notable progression differences.
Severe LUTS was significantly associated with decreased risk for rapid progression to CRPC. The developed nomogram could help identify patients who are at a high risk of rapid CRPC progression and provide tailored follow-up and therapeutic advice.
本研究的目的是评估晚期前列腺癌(PCa)患者在进展为去势抵抗性前列腺癌(CRPC)之前下尿路症状(LUTS)的预后影响。
对152例CRPC患者的随访数据进行回顾性分析。严重LUTS症状定义为基线时国际前列腺症状评分(IPSS)≥20。进行Cox回归分析以评估CRPC预后因素。使用一致性指数(C指数)、校准曲线、受试者工作特征(ROC)曲线和决策曲线分析(DCA)创建并评估列线图模型。
严重LUTS患者的中位无CRPC生存期为20.5个月,明显长于症状较轻患者的生存期(7.5个月)。此外,严重LUTS、血红蛋白、白蛋白、淋巴细胞和血小板(HALP)评分以及Gleason总分被确定为独立的预后标志物,并结合起来建立列线图,该列线图在第6、12、18和24个月对CRPC进展的定制预测中表现良好。C指数(训练队列和验证队列分别为0.794和0.816)、校准曲线和ROC曲线均验证了预测准确性。DCA曲线表明它可以有效地帮助医生做出判断。列线图相关风险评分将患者分为两组,进展差异显著。
严重LUTS与快速进展为CRPC的风险降低显著相关。所开发的列线图可以帮助识别快速进展为CRPC的高风险患者,并提供量身定制的随访和治疗建议。