Preclinical and clinical evaluation of [64Cu]Cu-PSMA-Q PET/CT for prostate cancer detection and its comparison with [18F]FDG imaging

This study aimed to develop and evaluate [<sup>64</sup>Cu]Cu-PSMA-Q as a novel positron emission tomography (PET) imaging agent for prostate cancer detection, assessing its diagnostic accuracy and clinical applicability in comparison to [<sup>18</sup>F]FDG PET imaging. [<sup>64</sup>Cu]Cu-PSMA-Q was synthesized, purified, and subjected to comprehensive quality control. Its binding affinity, cellular uptake, and internalization were assessed in vitro using prostate-specific membrane antigen (PSMA)-positive LNCaP C4-2B cells. In vivo toxicity studies were conducted in 12 mouse models (6 per group). Small-animal PET/CT (positron emission tomography/computed tomography) imaging and biodistribution studies were performed on tumor-bearing mice. Clinical evaluation involved PET/CT imaging with [<sup>64</sup>Cu]Cu-PSMA-Q in 29 prostate cancer patients, with comparative analysis against [<sup>18</sup>F]FDG PET/CT imaging. Radiation dosimetry was calculated using OLINDA/EXM software, and diagnostic performance metrics, including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), and tumor-to-background ratio, were analyzed using SPSS v24.0, with P < 0.05 considered statistically significant. Comparative analyses utilized t-tests or Mann-Whitney U tests as appropriate. [<sup>64</sup>Cu]Cu-PSMA-Q achieved over 99% radiochemical purity and a specific activity of 20.5 ± 1 GBq/μmol. In vitro studies demonstrated a dissociation constant (Kd) of 4.083 nM, along with high cellular uptake and internalization in LNCaP C4-2B cells. No significant toxicity was observed in mouse models. Small -animal PET/CT imaging revealed peak tumor uptake at 4 h post-injection in LNCaP C4-2B tumor xenografts. In clinical evaluations, [<sup>64</sup>Cu]Cu-PSMA-Q PET/CT detected more lesions than [<sup>18</sup>F]FDG, with significantly higher SUVmax, SUVmean, and tumor-to-background ratios. The mean effective radiation dose was calculated as 4.48 ± 0.99 mSv. [<sup>64</sup>Cu]Cu-PSMA-Q PET/CT demonstrated superior lesion detection and higher tumor-to-background ratios compared to [<sup>18</sup>F]FDG PET/CT for prostate cancer visualization. Its advantageous properties, including a favorable half-life, excellent safety profile, and enhanced diagnostic accuracy, support its potential for broad clinical adoption. This study establishes a foundation for further validation of [<sup>64</sup>Cu]Cu-PSMA-Q in prostate cancer management.

Authors

Institutions

Publication Details

Journal
Scientific Reports
Published
2025-04-25
DOI
https://doi.org/10.1038/s41598-025-98757-8
Citations
6
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
9.11
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Preclinical and clinical evaluation of [64Cu]Cu-PSMA-Q PET/CT for prostate cancer detection and its comparison with [18F]FDG imaging

Tielong Tang, Zongxi He, Hao Zhang, Fei Chen et al.
6 citations
Scientific Reports
Prostate Cancer Treatment and Research
9.11
article

Preclinical and clinical evaluation of [64Cu]Cu-PSMA-Q PET/CT for prostate cancer detection and its comparison with [18F]FDG imaging

Tielong Tang, Zongxi He, Hao Zhang, Fei Chen, Suping Li, Xiaohong Huang, Daiyuan Ma, Y. H. Zhan
article en
6 citations

Abstract

This study aimed to develop and evaluate [<sup>64</sup>Cu]Cu-PSMA-Q as a novel positron emission tomography (PET) imaging agent for prostate cancer detection, assessing its diagnostic accuracy and clinical applicability in comparison to [<sup>18</sup>F]FDG PET imaging. [<sup>64</sup>Cu]Cu-PSMA-Q was synthesized, purified, and subjected to comprehensive quality control. Its binding affinity, cellular uptake, and internalization were assessed in vitro using prostate-specific membrane antigen (PSMA)-positive LNCaP C4-2B cells. In vivo toxicity studies were conducted in 12 mouse models (6 per group). Small-animal PET/CT (positron emission tomography/computed tomography) imaging and biodistribution studies were performed on tumor-bearing mice. Clinical evaluation involved PET/CT imaging with [<sup>64</sup>Cu]Cu-PSMA-Q in 29 prostate cancer patients, with comparative analysis against [<sup>18</sup>F]FDG PET/CT imaging. Radiation dosimetry was calculated using OLINDA/EXM software, and diagnostic performance metrics, including maximum standardized uptake value (SUVmax), mean standardized uptake value (SUVmean), and tumor-to-background ratio, were analyzed using SPSS v24.0, with P < 0.05 considered statistically significant. Comparative analyses utilized t-tests or Mann-Whitney U tests as appropriate. [<sup>64</sup>Cu]Cu-PSMA-Q achieved over 99% radiochemical purity and a specific activity of 20.5 ± 1 GBq/μmol. In vitro studies demonstrated a dissociation constant (Kd) of 4.083 nM, along with high cellular uptake and internalization in LNCaP C4-2B cells. No significant toxicity was observed in mouse models. Small -animal PET/CT imaging revealed peak tumor uptake at 4 h post-injection in LNCaP C4-2B tumor xenografts. In clinical evaluations, [<sup>64</sup>Cu]Cu-PSMA-Q PET/CT detected more lesions than [<sup>18</sup>F]FDG, with significantly higher SUVmax, SUVmean, and tumor-to-background ratios. The mean effective radiation dose was calculated as 4.48 ± 0.99 mSv. [<sup>64</sup>Cu]Cu-PSMA-Q PET/CT demonstrated superior lesion detection and higher tumor-to-background ratios compared to [<sup>18</sup>F]FDG PET/CT for prostate cancer visualization. Its advantageous properties, including a favorable half-life, excellent safety profile, and enhanced diagnostic accuracy, support its potential for broad clinical adoption. This study establishes a foundation for further validation of [<sup>64</sup>Cu]Cu-PSMA-Q in prostate cancer management.

Scientific ReportsVol. 15(1)
North Sichuan Medical University (CN), Affiliated Hospital of North Sichuan Medical College (CN)
Good health and well-being
Openalex Percentile: Top 2%
Prostate Cancer Treatment and Research
9.11
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.