68Ga-PSMA PET/CT在转移性去势抵抗性前列腺癌177Lu-EB-PSMA放射性配体治疗后的疗效评估及预后预测中的价值

Value of 68Ga-PSMA PET/CT in evaluating the efficacy and predicting the prognosis of patients with metastatic castration-resistant prostate cancer after 177Lu-EB-PSMA radioligand therapy

  • 摘要:
    目的 探讨68Ga-前列腺特异性膜抗原(PSMA) PET/CT在转移性去势抵抗性前列腺癌(mCRPC)患者177Lu-伊文思蓝(EB)-PSMA放射性配体治疗(RLT)后的疗效评估及预后预测中的价值。
    方法 回顾性分析2019年1月至2021年12月于北京协和医院接受177Lu-EB-PSMA RLT的38例mCRPC患者年龄68(51, 75)岁的影像资料及生存数据,随访时间截至2022年12月31日。分析68Ga-PSMA PET/CT相关参数与前列腺特异性抗原(PSA)应答、PSA-无进展生存期(PFS)及总生存期(OS)的相关性及其对预后的预测价值。变量间的相关性分析采用Pearson相关性分析。采用Logistic回归分析和Cox比例风险回归模型确定最佳PSA应答和终点事件(包括PSA-PFS和OS)的预测因素,将单因素分析中P<0.2的因素纳入多因素分析,确定独立预测因素。采用Kaplan-Meier曲线分析终点事件发生的时间数据;对获得的独立预测因素中68Ga-PSMA PET/CT相关参数采用最大选择秩统计量获取最佳临界值,并进行分层生存率估计(Log-rank检验)。
    结果 38例mCRPC患者中,14例和16例患者分别接受了2个和3个周期的177Lu-EB-PSMA RLT,57.9%(22/38)的患者PSA水平较基线降低≥50%。Kaplan-Meier曲线分析结果显示,38例mCRPC患者的中位PSA-PFS为4.8个月(95%CI:2.7~6.7),中位OS为11.9个月(95%CI:8.0~17.3)。Pearson相关性分析结果显示,所有患者的基线病灶总PSMA负荷(TLP)与基线PSA呈中度相关(r=0.566,P=0.001),治疗前后TLP变化百分比(ΔTLP)与治疗前后PSA变化百分比(ΔPSA)呈较强相关(r=0.722,P<0.001)。单因素Logistic回归分析结果显示,全身PSMA 平均标准摄取值(SUVmean)(OR=2.005,95%CI:1.124~3.713,P=0.007)和基线TLP(OR=1.100,95%CI:1.004~1.118,P=0.012)是最佳PSA应答的预测因素;多因素Logistic回归分析结果显示,全身PSMA SUVmean是最佳 PSA应答的独立预测因素(OR=1.910,95%CI:1.009~3.799,P=0.030)。Cox比例风险回归模型分析结果显示,基线PSMA阳性肿瘤体积(PSMA-VOL)(HR=1.810,95%CI:1.010~3.602,P=0.009)和基线碱性磷酸酶(HR=1.695,95%CI:1.005~2.450,P=0.031)是PSA-PFS的独立预测因素;基线PSA(HR=1.953,95%CI:1.082~3.450,P=0.002)和基线PSMA-VOL(HR=4.400,95%CI:1.009~8.919,P=0.002)是OS的独立预测因素。Kaplan-Meier曲线分析结果显示,PSMA-VOL≤388 ml时,患者的PSA-PFS显著延长(6.2个月对2.9个月,χ2=6.87,P=0.009);PSMA-VOL≤423 ml时,患者的OS显著延长(15.3个月对7.5个月,χ2=10.05,P=0.002)。
    结论 68Ga-PSMA PET/CT相关参数在mCRPC患者177Lu-EB-PSMA RLT后的疗效评估及预后预测中具有重要的参考价值。

     

    Abstract:
    Objective To explore the value of 68Ga-prostate specific membrane antigen (PSMA) PET/CT in the efficacy evaluation and prognosis prediction of patients with metastatic castration-resistant prostate cancer (mCRPC) after 177Lu-Evans blue (EB)-PSMA radioligand therapy (RLT).
    Methods A retrospective analysis was conducted on imaging and survival data from 38 mCRPC patients (age 68 (51, 75) years) who received 177Lu-EB-PSMA RLT at Peking Union Medical College Hospital from January 2019 to December 2021, with follow-up data until December 31, 2022. The correlation of 68Ga-PSMA PET/CT-related parameters with prostate-specific antigen (PSA) response, PSA-progression-free survival (PFS), and overall survival (OS) was explored, along with their prognostic predictive value. Pearson correlation analysis was performed to assess the correlation between variables. The prognostic factors for optimal PSA response and endpoint events, including PSA-PFS and OS, were identified using Logistic regression analysis and Cox proportional hazards regression model. Variables with values of P<0.2 in the univariate analysis were included in the multivariate analysis to determine independent predictive factors. The Kaplan-Meier curve analysis was used to analyze the time data of endpoint events. Among the obtained independent predictive factors, maximally selected rank statistics was used to obtain the optimal cutoff value for the 68Ga-PSMA PET/CT-related parameters and stratified survival estimates were performed (Log-rank test).
    Results Among the 38 mCRPC patients, 14 and 16 received 2 and 3 cycles of 177Lu-EB-PSMA RLT, respectively. A PSA level decline of ≥50% from baseline was observed in 57.9% (22/38) of the patients. The Kaplan-Meier curve analysis revealed median PSA-PFS of 4.8 months (95%CI: 2.7–6.7) and median OS of 11.9 months (95%CI: 8.0–17.3). The Pearson correlation analysis showed a moderate correlation between baseline total lesion PSMA (TLP) and baseline PSA in all the patients (r=0.566, P=0.001), and a strong correlation between percentage change in TLP before and after treatment (ΔTLP) and percentage change in PSA before and after treatment (ΔPSA) (r=0.722, P<0.001). Univariate Logistic regression analysis was performed to identify the mean standardized uptake value (SUVmean) of whole-body PSMA (OR=2.005, 95%CI: 1.124–3.713; P=0.007) and baseline TLP (OR=1.100, 95%CI: 1.004–1.118; P=0.012) as predictive factors of optimal PSA response. The multivariate Logistic regression analysis confirmed whole-body PSMA SUVmean as an independent predictive factor of optimal PSA response (OR=1.910, 95%CI: 1.009–3.799; P=0.030). The Cox proportional hazards regression model results indicated that baseline PSMA-positive tumor volume (PSMA-VOL) (HR=1.810, 95%CI: 1.010–3.602; P=0.009) and baseline alkaline phosphatase (HR=1.695, 95%CI: 1.005–2.450; P=0.031) were independent predictive factors for PSA-PFS. Meanwhile, baseline PSA (HR=1.953, 95%CI: 1.082–3.450; P=0.002) and baseline PSMA-VOL (HR=4.400, 95%CI: 1.009–8.919; P=0.002) were independent predictive factors for OS. The Kaplan-Meier curve analysis demonstrated significantly prolonged PSA-PFS in patients with PSMA-VOL of ≤388 ml (6.2 months vs. 2.9 months, χ2=6.87, P=0.009) and significantly prolonged OS in those with PSMA-VOL of ≤423 ml (15.3 months vs. 7.5 months, χ2=10.05, P=0.002).
    Conclusion The relevant parameters of 68Ga-PSMA PET/CT exhibit important reference value in the efficacy evaluation and prognosis prediction of patients with mCRPC after 177Lu-EB-PSMA RLT.

     

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