Boosting Diagnostic Accuracy of Prostate Cancer: Combining Clinical PSA Level and a Pair of NIR Fluorescent Probes for SLC39A1 and PSMA

ABSTRACT Prostate cancer (PCa) is a leading malignancy in men globally. Although serum prostate‐specific antigen (PSA) testing is prevalent for PCa screening, its inherent limitation in specificity and sensitivity frequently leads to high false‐positive and false‐negative diagnoses. To address this challenge, we present a PSA+ strategy that integrates a clinically defined PSA threshold (10 ng/mL) with a pair of complementary near‐infrared (NIR) fluorescent probes: a zinc‐complex‐based probe (Cy‐O‐NS‐a‐Zn) targeting the zinc transporter solute carrier family 39 member 1 (SLC39A1), and a glutamate‐urea‐lysine (Glu‐Urea‐Lys) ligand‐based probe (Cy‐S‐Glu) targeting prostate‐specific membrane antigen (PSMA). This combinatorial approach accurately discriminates PCa from normal prostate cells, delineates tumor margins in patient‐derived xenograft (PDX) mouse models with robust tumor‐to‐background ratios (TBR), and enables fluorescence‐guided surgery. Importantly, a double‐blind histopathological validation using 70 cases of human prostate tissue specimens revealed that the PSA+ strategy substantially outperformed PSA testing alone, improving diagnostic specificity from 70% to 97.6% and sensitivity from 75% to 96.8%. Collectively, this work provides a rapid, accurate, and comprehensive diagnostic paradigm that complements standard PSA testing, thereby refining clinical diagnosis and decision‐making in PCa.

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Publication Details

Journal
Angewandte Chemie
Published
2026-08-26
DOI
https://doi.org/10.1002/ange.9280379
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00

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article

Boosting Diagnostic Accuracy of Prostate Cancer: Combining Clinical PSA Level and a Pair of NIR Fluorescent Probes for SLC39A1 and PSMA

Jiao Chen, Shengyong Zhang, Fei Yang, Mengyao She et al.
Angewandte Chemie
Prostate Cancer Treatment and Research
article

Boosting Diagnostic Accuracy of Prostate Cancer: Combining Clinical PSA Level and a Pair of NIR Fluorescent Probes for SLC39A1 and PSMA

Jiao Chen, Shengyong Zhang, Fei Yang, Mengyao She, Hong Wang, Xue Li, Jianli Li, Xiuzhu Huo, Ping Liu
article en

Abstract

ABSTRACT Prostate cancer (PCa) is a leading malignancy in men globally. Although serum prostate‐specific antigen (PSA) testing is prevalent for PCa screening, its inherent limitation in specificity and sensitivity frequently leads to high false‐positive and false‐negative diagnoses. To address this challenge, we present a PSA+ strategy that integrates a clinically defined PSA threshold (10 ng/mL) with a pair of complementary near‐infrared (NIR) fluorescent probes: a zinc‐complex‐based probe (Cy‐O‐NS‐a‐Zn) targeting the zinc transporter solute carrier family 39 member 1 (SLC39A1), and a glutamate‐urea‐lysine (Glu‐Urea‐Lys) ligand‐based probe (Cy‐S‐Glu) targeting prostate‐specific membrane antigen (PSMA). This combinatorial approach accurately discriminates PCa from normal prostate cells, delineates tumor margins in patient‐derived xenograft (PDX) mouse models with robust tumor‐to‐background ratios (TBR), and enables fluorescence‐guided surgery. Importantly, a double‐blind histopathological validation using 70 cases of human prostate tissue specimens revealed that the PSA+ strategy substantially outperformed PSA testing alone, improving diagnostic specificity from 70% to 97.6% and sensitivity from 75% to 96.8%. Collectively, this work provides a rapid, accurate, and comprehensive diagnostic paradigm that complements standard PSA testing, thereby refining clinical diagnosis and decision‐making in PCa.

Angewandte Chemie
Ministry of Education of the People's Republic of China (CN), Northwest University (CN), Second Affiliated Hospital of Xi'an Jiaotong University (CN), Shaanxi Yulin Energy Group (CN)
National Natural Science Foundation of China
Reduced inequalities, Peace, Justice and strong institutions
Openalex Percentile: Top 11%
Prostate Cancer Treatment and Research
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