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每PSMA表达的葡萄糖代谢活性变化可预测对PSMA放射性配体治疗无反应的mCRPC患者的生存情况:引入一种新型双成像生物标志物。

Change of glucometabolic activity per PSMA expression predicts survival in mCRPC patients non-responding to PSMA radioligand therapy: introducing a novel dual imaging biomarker.

作者信息

Burgard Caroline, Engler Jakob, Blickle Arne, Bartholomä Mark, Maus Stephan, Schaefer-Schuler Andrea, Khreish Fadi, Ezziddin Samer, Rosar Florian

机构信息

Department of Nuclear Medicine, Saarland University-Medical Center, Homburg, Germany.

出版信息

Front Med (Lausanne). 2024 Jan 17;10:1339160. doi: 10.3389/fmed.2023.1339160. eCollection 2023.

DOI:10.3389/fmed.2023.1339160
PMID:38298510
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10827880/
Abstract

PURPOSE

The value of [F]fluorodeoxyglucose ([F]FDG) PET/CT in monitoring prostate-specific membrane antigen (PSMA) targeted radioligand therapy (RLT) is still unclear. The aim of this study was to identify appropriate prognostic dynamic parameters derived from baseline and follow-up [F]FDG and dual [F]FDG/[Ga]Ga-PSMA-11 PET/CT for monitoring early non-responding mCRPC patients undergoing PSMA-RLT.

METHODS

Twenty-three mCRPC patients of a prospective registry (NCT04833517), who were treated with [Lu]Lu-PSMA-617 RLT and classified as early non-responders were included in this study. All patients received dual PET/CT imaging with [F]FDG and [Ga]Ga-PSMA-11 at baseline and after median two cycles of RLT. We tested potential biomarkers representing the "" and "" composed of established parameters on [F]FDG PET/CT as SUVmax, cumulative SUV of five lesions (SUV5), metabolic tumor volume (MTV) and total lesion glycolysis (TLG) and its corresponding parameters on [Ga]Ga-PSMA-11 PET/CT, respectively, for association with overall survival (OS).

RESULTS

Kaplan-Meier analyses showed no significant association with OS for each tested cGA (cGA = 0.904, cGA, = 0.747 cGA = 0.682 and cGA = 0.700), likewise the dual imaging biomarkers cGAP ( = 0.136), cGAP ( = 0.097), and cGAP ( = 0.113) failed significance. In contrast, cGAP, which is based on TLG and total lesion PSMA (TLP) showed a significant association with OS ( = 0.004). Low cGAP (cut-off 0.7) was associated with significant longer survival (17.6 vs. 12.9 months).

CONCLUSION

The novel biomarker cGAP, which represents the temporal change of whole-body TLG normalized by TLP, predicts overall survival in the challenging cohort of patients non-responding to PSMA-RLT.

摘要

目的

[F]氟脱氧葡萄糖([F]FDG)PET/CT在监测前列腺特异性膜抗原(PSMA)靶向放射性配体治疗(RLT)中的价值仍不明确。本研究的目的是确定从基线和随访的[F]FDG以及双[F]FDG/[Ga]Ga-PSMA-11 PET/CT中得出的合适的预后动态参数,以监测接受PSMA-RLT的早期无反应的转移性去势抵抗性前列腺癌(mCRPC)患者。

方法

本研究纳入了前瞻性登记研究(NCT04833517)中的23例mCRPC患者,这些患者接受了[Lu]Lu-PSMA-617 RLT治疗并被分类为早期无反应者。所有患者在基线时以及RLT中位两个周期后接受了[F]FDG和[Ga]Ga-PSMA-11的双PET/CT成像。我们测试了潜在的生物标志物,这些标志物分别由[F]FDG PET/CT上的SUVmax、五个病灶的累积SUV(SUV5)、代谢肿瘤体积(MTV)和总病灶糖酵解(TLG)以及[Ga]Ga-PSMA-11 PET/CT上的相应参数组成的“”和“”,以与总生存期(OS)进行关联分析。

结果

Kaplan-Meier分析显示,每个测试的cGA(cGA = 0.904,cGA = 0.747,cGA = 0.682,cGA = 0.700)与OS均无显著关联,同样,双成像生物标志物cGAP( = 0.136)、cGAP( = 0.097)和cGAP( = 0.113)也未达到显著水平。相比之下,基于TLG和总病灶PSMA(TLP)的cGAP与OS显示出显著关联( = 0.004)。低cGAP(临界值0.7)与显著更长的生存期相关(17.6个月对12.9个月)。

结论

新型生物标志物cGAP代表了经TLP标准化的全身TLG的时间变化,可预测对PSMA-RLT无反应的挑战性患者队列的总生存期。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/3d9adfa84cc6/fmed-10-1339160-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/842f86fbc407/fmed-10-1339160-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/b0dc4083ee1a/fmed-10-1339160-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/f119cb02df9c/fmed-10-1339160-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/5448ce3fed95/fmed-10-1339160-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/c969781ed672/fmed-10-1339160-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/3d9adfa84cc6/fmed-10-1339160-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/842f86fbc407/fmed-10-1339160-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/b0dc4083ee1a/fmed-10-1339160-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/f119cb02df9c/fmed-10-1339160-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/5448ce3fed95/fmed-10-1339160-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/c969781ed672/fmed-10-1339160-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/5bb6/10827880/3d9adfa84cc6/fmed-10-1339160-g006.jpg

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