Wei Tang, Ming Zhou, Chenxi Lu, Lin Qi, Ye Zhang, Yongxiang Tang, Xiaomei Gao, Shuo Hu, Yi Cai
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Sixteen participants underwent [<sup>18</sup>F]AlF-CD13-L1 PET/CT scanning, with the PCa pathological tissues used as references to interpret the imaging results.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Quantitative protein analysis revealed CD13 as the most significantly upregulated membrane protein in PSMA-negative PCa. Expanded validation results indicated that CD13 positivity rates were 92.9% (13/14), 82.7% (105/127), 91.7% (11/12), and 70% (14/20) in PSMA-negative PCa, PSMA-positive PCa, ductal adenocarcinoma of the prostate (DAC), and intraductal carcinoma of the prostate (IDC-P), respectively. In PCa participants, the median [<sup>18</sup>F]AlF-CD13-L1 PET/CT maximum standardized uptake value (SUVmax) of tumors and tumor-to-muscle ratio were 4.3 (1.5–5.8) and 4.6 (1.7–6.1), respectively. The SUVmax value of the PCa lesions and the tumor-to-muscle ratio showed a positive correlation with the immunohistochemical score of CD13 of the PCa lesions (r<sub>spearman</sub> = 0.6249, p = 0.025; r<sub>spearman</sub> = 0.6714, <i>p</i> = 0.015, respectively), with CD13-positive tumors showing significant radiotracer accumulation.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>CD13 was a potential target for PSMA-negative PCa and also showed high positivity rates in PSMA-positive PCa, DAC, and IDC-P. [<sup>18</sup>F]AlF-CD13-L1 selectively accumulated in CD13-positive PCa, enabling visualization. (Trial registration: ChiCTR2300077817. Registered November 21, 2023).</p>","PeriodicalId":11909,"journal":{"name":"European Journal of Nuclear Medicine and Molecular Imaging","volume":"28 1","pages":""},"PeriodicalIF":7.6000,"publicationDate":"2025-02-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"CD13 as a potential theranostic target for prostate-specific membrane antigen-negative prostate cancer and first-in-human study of [18F]AlF-CD13-L1 PET/CT imaging\",\"authors\":\"Wei Tang, Ming Zhou, Chenxi Lu, Lin Qi, Ye Zhang, Yongxiang Tang, Xiaomei Gao, Shuo Hu, Yi Cai\",\"doi\":\"10.1007/s00259-025-07140-2\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<h3 data-test=\\\"abstract-sub-heading\\\">Purpose</h3><p>Approximately 10% of prostate cancer (PCa) are prostate-specific membrane antigen (PSMA)-negative, leading to blind spots in PSMA-based diagnosis. 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Expanded validation results indicated that CD13 positivity rates were 92.9% (13/14), 82.7% (105/127), 91.7% (11/12), and 70% (14/20) in PSMA-negative PCa, PSMA-positive PCa, ductal adenocarcinoma of the prostate (DAC), and intraductal carcinoma of the prostate (IDC-P), respectively. In PCa participants, the median [<sup>18</sup>F]AlF-CD13-L1 PET/CT maximum standardized uptake value (SUVmax) of tumors and tumor-to-muscle ratio were 4.3 (1.5–5.8) and 4.6 (1.7–6.1), respectively. 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引用次数: 0
摘要
目的:约10%的前列腺癌(PCa)为前列腺特异性膜抗原(PSMA)阴性,导致PSMA诊断存在盲点。本研究旨在寻找psma阴性PCa的潜在靶点,并初步评价放射性核素探针靶向鉴定的靶点诊断PCa的可行性。方法对8例psma阴性PCa和11例对照进行定量蛋白分析,以确定潜在的分子靶点,然后使用免疫组织化学扩大队列进行验证。16名参与者进行了[18F]AlF-CD13-L1 PET/CT扫描,以PCa病理组织作为参考来解释成像结果。结果CD13是psma阴性PCa中表达上调最显著的膜蛋白。扩大验证结果显示,CD13在psma阴性PCa、psma阳性PCa、前列腺导管腺癌(DAC)和前列腺导管内癌(IDC-P)中的阳性率分别为92.9%(13/14)、82.7%(105/127)、91.7%(11/12)和70%(14/20)。在PCa参与者中,肿瘤的中位[18F]AlF-CD13-L1 PET/CT最大标准化摄取值(SUVmax)和肿瘤与肌肉的比值分别为4.3(1.5-5.8)和4.6(1.7-6.1)。前列腺癌病变的SUVmax值和瘤肌比与前列腺癌病变的CD13免疫组化评分呈正相关(rspearman = 0.6249, p = 0.025;rspearman = 0.6714, p = 0.015), cd13阳性肿瘤显示明显的放射性示踪剂积累。结论cd13是psma阴性PCa的潜在靶点,在psma阳性PCa、DAC和IDC-P中均有较高的阳性率。[18F]AlF-CD13-L1选择性地在cd13阳性PCa中积累,从而实现可视化。(试验注册:ChiCTR2300077817。注册日期:2023年11月21日)。
CD13 as a potential theranostic target for prostate-specific membrane antigen-negative prostate cancer and first-in-human study of [18F]AlF-CD13-L1 PET/CT imaging
Purpose
Approximately 10% of prostate cancer (PCa) are prostate-specific membrane antigen (PSMA)-negative, leading to blind spots in PSMA-based diagnosis. This study aimed to identify a potential target for PSMA-negative PCa and preliminarily evaluate the feasibility of using radionuclide probe targeting the identified target for PCa diagnosis.
Methods
Quantitative protein analysis was performed on eight PSMA-negative PCa and eleven controls to identify a potential molecular target, followed by validation with an expanded cohort using immunohistochemistry. Sixteen participants underwent [18F]AlF-CD13-L1 PET/CT scanning, with the PCa pathological tissues used as references to interpret the imaging results.
Results
Quantitative protein analysis revealed CD13 as the most significantly upregulated membrane protein in PSMA-negative PCa. Expanded validation results indicated that CD13 positivity rates were 92.9% (13/14), 82.7% (105/127), 91.7% (11/12), and 70% (14/20) in PSMA-negative PCa, PSMA-positive PCa, ductal adenocarcinoma of the prostate (DAC), and intraductal carcinoma of the prostate (IDC-P), respectively. In PCa participants, the median [18F]AlF-CD13-L1 PET/CT maximum standardized uptake value (SUVmax) of tumors and tumor-to-muscle ratio were 4.3 (1.5–5.8) and 4.6 (1.7–6.1), respectively. The SUVmax value of the PCa lesions and the tumor-to-muscle ratio showed a positive correlation with the immunohistochemical score of CD13 of the PCa lesions (rspearman = 0.6249, p = 0.025; rspearman = 0.6714, p = 0.015, respectively), with CD13-positive tumors showing significant radiotracer accumulation.
Conclusion
CD13 was a potential target for PSMA-negative PCa and also showed high positivity rates in PSMA-positive PCa, DAC, and IDC-P. [18F]AlF-CD13-L1 selectively accumulated in CD13-positive PCa, enabling visualization. (Trial registration: ChiCTR2300077817. Registered November 21, 2023).
期刊介绍:
The European Journal of Nuclear Medicine and Molecular Imaging serves as a platform for the exchange of clinical and scientific information within nuclear medicine and related professions. It welcomes international submissions from professionals involved in the functional, metabolic, and molecular investigation of diseases. The journal's coverage spans physics, dosimetry, radiation biology, radiochemistry, and pharmacy, providing high-quality peer review by experts in the field. Known for highly cited and downloaded articles, it ensures global visibility for research work and is part of the EJNMMI journal family.