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临床试验/NCT07723651
NCT07723651尚未招募2 期

Integration of FTT-PET and ctDNA to Predict Response to PARP Inhibitor Therapy in Metastatic Prostate Cancer (mPC)

Washington University School of Medicine3 个研究点 分布在 1 个国家目标入组 75 人开始时间: 2026年9月1日最近更新:
适应症
相关药物

试验速览

阶段
2 期
状态
尚未招募
入组人数
75
试验地点
3
主要终点
Prediction performance of FTT-PET as measured by concordance index (C-index)

研究概览

简要总结

This multicenter center, open-label, baseline-controlled diagnostic imaging study designed to assess the use of Fluorthanatrace-Positron Emission tomography (FTT-PET) as a PARP inhibitor (PARPi) therapy predictive imaging biomarker and the use of EnhanceAR-Seq (ctDNA) in predicting response to therapy and to identify genomic alterations associated with resistance. Furthermore, to correlate changes in ctDNA and imaging (FTT-PET and standard of care imaging) to understand the dynamics of tumor response.

研究设计

研究类型
Interventional
分配方式
Na
干预模型
Single Group
主要目的
Diagnostic
盲法
None

入排标准

年龄范围
18 Years 至 —(Adult, Older Adult)
性别
Male
接受健康志愿者

入选标准

  • Adult male patients 18 years of age or older
  • mCRPC with confirmed germline or somatic HRR (such as ATM, ATR, BRCA1, BRCA2, CDK12, CHEK2, FANCA, MLH1, MRE11A, NBN, PALB2, or RAD51C for Talazoparib/enzalutamide and ATMm, BRCA1m, BRCA2m, BARD1m, BRIP1m, CDK12m, CHEK1m, CHEK2m, FANCLm, PALB2m, RAD51Bm, RAD51Cm, RAD51Dm, RAD54Lm; gBRCA1m, gBRCA2m; ATMm, BRCA1m, BRCA2m for Olaparib +/- abiraterone) mutations who are scheduled for SOC PARPi therapy.
  • Lesion size of at least 1.0 cm in longest dimension by imaging. If non-measurable, lesion needs to be clearly detected on other imaging studies such as bone scintigraphy, FDG-PET, PSMA-PET or MRI.
  • On continuous androgen deprivation therapy (ADT) with appropriately suppressed castrate testosterone levels of < 50 ng/dL, or prior bilateral orchiectomy.
  • Serum PSA of 2 ng/mL or greater.
  • Eastern Cooperative Oncology Group (ECOG) performance status of 0-
  • Able to give informed consent

排除标准

  • Receipt of prior PARP inhibitor therapy in any disease setting.
  • Patients with other invasive malignancies, with the exception of non-melanoma skin cancer, who had (or have) any evidence of the other cancer that is active at the time of enrollment.
  • Unable to tolerate approximately 30 min (total time) of PET/CT imaging.

结局指标

主要结局

Prediction performance of FTT-PET as measured by concordance index (C-index)

时间窗: At baseline prior to PARPi therapy and post cycle 1 (estimated total time 28 days)

Prediction performance of FTT-PET in predicting participant response to PARPi therapy will be assessed by concordance index (C-index). The C-index is mathematically calculated as the number of concordant pairs divided by the number of comparable pairs. A C-index of 1 indicates perfect ranking, values close to 0.5 indicate random prediction, and values between 0.5 and 1 suggest some predictive ability (a value below 0.5 can be reversed by switching the response's 0 and 1 labels).

Prediction performance of FTT-PET as measured by area under the receiver operating characteristic (ROC) curve

时间窗: At baseline prior to PARPi therapy and post cycle 1 (estimated total time 28 days)

Prediction performance of FTT-PET in predicting participant response to PARPi therapy will be assessed by the area under the ROC curve. The ROC curve is a graphical plot that illustrates the performance of a model at various threshold settings and the area under the curve (AUC) is a single scalar value between 0 and 1 that summarizes the model performance. A higher AUC value indicates better performance.

Prediction performance of EnhanceAR-Seq ctDNAas measured by concordance index (C-index)

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), 12 weeks after start of PARPi therapy, and at progression if applicable (estimated total time 6 months)

Prediction performance of EnhanceAR-Seq ctDNA analysis in predicting participant response to PARPi therapy will be assessed by concordance index (C-index). The C-index is calculated as the number of concordant pairs divided by the number of comparable pairs. A C-index of 1 indicates perfect ranking, values close to 0.5 indicate random prediction, and values between 0.5 and 1 suggest some predictive ability (a value below 0.5 can be reversed by switching the response's 0 and 1 labels).

Prediction performance of EnhanceAR-Seq ctDNA as measured by area under the receiver operating characteristic (ROC) curve

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), 12 weeks after start of PARPi therapy, and at progression if applicable (estimated total time 6 months)

Prediction performance of EnhanceAR-Seq ctDNA analysis in predicting participant response to PARPi therapy will be assessed by the area under the ROC curve. The ROC curve is a graphical plot that illustrates the performance of a model at various threshold settings and the area under the curve (AUC) is a single scalar value between 0 and 1 that summarizes the model performance. A higher AUC value indicates better performance.

Prediction performance of FTT-PET and EnhanceAR-Seq ctDNA collectively as measured by concordance index (C-index)

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), and at progression if applicable (estimated total time 6 months)

Prediction performance of FTT-PET and EnhanceAR-Seq ctDNA analysis collectively in predicting participant response to PARPi therapy will be assessed by concordance index (C-index). The C-index is calculated as the number of concordant pairs divided by the number of comparable pairs. A C-index of 1 indicates perfect ranking, values close to 0.5 indicate random prediction, and values between 0.5 and 1 suggest some predictive ability (a value below 0.5 can be reversed by switching the response's 0 and 1 labels).

Prediction performance of FTT-PET and EnhanceAR-Seq ctDNA collectively as measured by area under the receiver operating characteristic (ROC) curve

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), and at progression if applicable (estimated total time 6 months)

Prediction performance of FTT-PET and EnhanceAR-Seq ctDNA analysis collectively in predicting participant response to PARPi therapy will be assessed by the area under the ROC curve. The ROC curve is a graphical plot that illustrates the performance of a model at various threshold settings and the area under the curve (AUC) is a single scalar value between 0 and 1 that summarizes model performance. A higher AUC value indicates better performance.

Sensitivity of EnhanceAR-Seq ctDNA in identifying mPC patients who respond to PARPi therapy

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), 12 weeks after start of PARPi therapy, and at progression if applicable (estimated total time 6 months)

Sensitivity is calculated as the proportion of true positives divided by the sum of true positives and false negatives. The area under the Receiver Operating Characteristic (ROC) curve will be calculated to identify the optimal cutpoint on the ROC corresponding to the maximized Youden index to evaluate sensitivity. The ROC curve is a graphical plot that illustrates the performance of a model at various threshold settings and the area under the curve (AUC) is a single scalar value between 0 and 1 that summarizes model performance. A higher AUC value indicates better performance.

Specificity of EnhanceAR-Seq ctDNA in identifying mPC patients who respond to PARPi therapy

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), 12 weeks after start of PARPi therapy, and at progression if applicable (estimated total time 6 months)

Specificity is calculated as the proportion of true negatives divided by the sum of true negatives and false positives. The area under the Receiver Operating Characteristic (ROC) curve will be calculated to identify the optimal cutpoint on the ROC corresponding to the maximized Youden index to evaluate specificity. The ROC curve is a graphical plot that illustrates the performance of a model at various threshold settings and the area under the curve (AUC) is a single scalar value between 0 and 1 that summarizes the performance of model. A higher AUC value indicates better performance.

Positive predictive value (PPV) of EnhanceAR-Seq ctDNA in identifying mPC patients who respond to PARPi therapy

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), 12 weeks after start of PARPi therapy, and at progression if applicable (estimated total time 6 months)

PPV is calculated as the number of true positives divided by the sum of the number of true positives and number of false positives. The area under the Receiver Operating Characteristic (ROC) curve will be calculated to identify the optimal cutpoint on the ROC corresponding to the maximized Youden index to evaluate PPV. The ROC curve is a graphical plot that illustrates the performance of a model at various threshold settings and the area under the curve (AUC) is a single scalar value between 0 and 1 that summarizes model performance. A higher AUC value indicates better performance.

Negative predictive value (NPV) of EnhanceAR-Seq ctDNA in identifying mPC patients who respond to PARPi therapy

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), 12 weeks after start of PARPi therapy, and at progression if applicable (estimated total time 6 months)

NPV is calculated as the number of true negatives divided by the sum of the number of true negatives and number of false negatives. The area under the Receiver Operating Characteristic (ROC) curve will be calculated to identify the optimal cutpoint on the ROC corresponding to the maximized Youden index to evaluate NPV. The ROC curve is a graphical plot that illustrates the performance of a model at various threshold settings and the area under the curve (AUC) is a single scalar value between 0 and 1 that summarizes model performance. A higher AUC value indicates better performance.

Predictive performance improvement as measured by change in concordance index of FTT-PET and EnhanceAR-seq ctDNA compared to only FTT-PET or only EnhanceAR-seq ctDNA

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), 12 weeks after start of PARPi therapy, and at progression if applicable (estimated total time 6 months)

Prediction performance of FTT-PET and EnhanceAR-seq ctDNA in predicting participant response to PARPi therapy will be assessed by the concordance index (C-index). The C-index is calculated as the number of concordant pairs divided by the number of comparable pairs. A C-index of 1 indicates perfect ranking, values close to 0.5 indicate random prediction, and values between 0.5 and 1 suggest some predictive ability prediction (a value below 0.5 can be reversed by switching the response's 0 and 1 labels).

Predictive performance improvement as measured by area under the receiver operating characteristic (ROC) curve of FTT-PET and EnhanceAR-seq ctDNA compared to only FTT-PET or only EnhanceAR-seq ctDNA

时间窗: At baseline prior to PARPi therapy, post cycle 1 (cycle is an estimated 28 days), 12 weeks after start of PARPi therapy, and at progression if applicable (estimated total time 6 months)

Prediction performance of FTT-PET and EnhanceAR-seq ctDNA in predicting participant response to PARPi therapy will be assessed by the area under the ROC curve. The ROC curve is a graphical plot that illustrates the performance of a model at various threshold settings and the area under the curve (AUC) is a single scalar value between 0 and 1 that summarizes model performance. A higher AUC value indicates better performance.

次要结局

  • Test-Retest Only: Lin's intra-class correlation coefficient of FTT-PET imaging(At baseline prior to PARPi therapy, at retest scan 1-14 days after baseline scan, and post-cycle 1 (estimated total time 28 days))
  • Correlation between FTT-PET imaging and tumor mutation burden (TMBddr) as assessed by Spearman or Pearson correlation coefficient(At baseline and post cycle 1 (estimated total time 28 days))
  • Correlation between FTT-PET imaging and variant allele frequency (VAF) as assessed by Spearman or Pearson correlation coefficient(At baseline and post cycle 1 (estimated total time 28 days))
  • Correlation between FTT-PET imaging and dynamic changes in ctDNA levels as assessed by Spearman or Pearson correlation coefficient(At baseline and post cycle 1 (estimated total time 28 days))
  • Correlation between FTT-PET imaging and prostate-specific antigen (PSA) levels as assessed by Spearman or Pearson correlation coefficient(At baseline and post cycle 1 (estimated total time 28 days))
  • Correlation between FTT-PET imaging and tumor mutation burden (TMBddr) as assessed by Kappa agreement coefficient(At baseline and post cycle 1 (estimated total time 28 days))
  • Correlation between FTT-PET imaging and variant allele frequency (VAF) as assessed by Kappa agreement coefficient(At baseline and post cycle 1 (estimated total time 28 days))
  • Correlation between FTT-PET imaging and dynamic changes in ctDNA level as assessed by Kappa agreement coefficient(At baseline and post cycle 1 (estimated total time 28 days))
  • Correlation between FTT-PET imaging and prostate-specific antigen (PSA) as assessed by Kappa agreement coefficient(At baseline and post cycle 1 (estimated total time 28 days))
  • Association of FTT-PET and EnhanceAR-Seq metrics with patient response based on relative risk(From enrollment to time of progression (estimated total time 6 months))

研究者

申办方类型
Other
责任方
Sponsor

研究点 (3)

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