Development of a <sup>68</sup> Ga-Labeled Peptide Radiotracer for Noninvasive Imaging of PD-L1 Expression in Tumors

Programmed death-ligand 1 (PD-L1) is a key immune checkpoint protein that facilitates tumor immune escape and correlates with response to immune checkpoint inhibitor therapy. However, noninvasive, real-time assessment of dynamic PD-L1 expression remains challenging due to tumor heterogeneity and limitations of tissue biopsies. In this study, we rationally designed and evaluated a novel <sup>68</sup>Ga-labeled peptide-based radiotracer, <sup>68</sup>Ga-DOTA-P6, for PET imaging of PD-L1. The PD-L1-targeting peptide P6 was identified via a high-throughput OBOC peptide library and validated using SPR and cellular fluorescence assays. The radiotracer demonstrated high radiochemical purity (>95%) and excellent stability in saline, PBS, and fetal bovine serum (>90% intact after 2 h). In vivo micro-PET/CT imaging in H1975 and MDA-MB-231 tumor-bearing mice revealed rapid, PD-L1-dependent tumor accumulation. Co-injection of unlabeled P6 reduced tumor uptake by 69%, confirming specificity. Biodistribution studies showed highest accumulation in kidneys and significant tumor uptake. Immunohistochemistry confirmed PD-L1 overexpression in H1975 tumors, with a strong correlation between SUVmax and PD-L1 levels (<i>r</i> = 0.8060, <i>p</i> < 0.001). Together, these findings demonstrate the promise of <sup>68</sup>Ga-DOTA-P6 for noninvasive imaging of PD-L1 expression and potential prediction of immunotherapy response.

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Publication Details

Journal
Molecular Pharmaceutics
Published
2025-10-09
DOI
https://doi.org/10.1021/acs.molpharmaceut.5c01194
Citations
1
Primary Topic
Cancer Immunotherapy and Biomarkers
Type
article
Field-Weighted Citation Impact
1.05
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article

Development of a 68 Ga-Labeled Peptide Radiotracer for Noninvasive Imaging of PD-L1 Expression in Tumors

Zihua Wang, Linping Fu, Weibing Miao, Jie Zang et al.
1 citations
Molecular Pharmaceutics
Cancer Immunotherapy and Biomarkers
1.05
article

Development of a 68 Ga-Labeled Peptide Radiotracer for Noninvasive Imaging of PD-L1 Expression in Tumors

Zihua Wang, Linping Fu, Weibing Miao, Jie Zang, Xiuting Lin, Jiayu Fu
article en
1 citations

Abstract

Programmed death-ligand 1 (PD-L1) is a key immune checkpoint protein that facilitates tumor immune escape and correlates with response to immune checkpoint inhibitor therapy. However, noninvasive, real-time assessment of dynamic PD-L1 expression remains challenging due to tumor heterogeneity and limitations of tissue biopsies. In this study, we rationally designed and evaluated a novel <sup>68</sup>Ga-labeled peptide-based radiotracer, <sup>68</sup>Ga-DOTA-P6, for PET imaging of PD-L1. The PD-L1-targeting peptide P6 was identified via a high-throughput OBOC peptide library and validated using SPR and cellular fluorescence assays. The radiotracer demonstrated high radiochemical purity (>95%) and excellent stability in saline, PBS, and fetal bovine serum (>90% intact after 2 h). In vivo micro-PET/CT imaging in H1975 and MDA-MB-231 tumor-bearing mice revealed rapid, PD-L1-dependent tumor accumulation. Co-injection of unlabeled P6 reduced tumor uptake by 69%, confirming specificity. Biodistribution studies showed highest accumulation in kidneys and significant tumor uptake. Immunohistochemistry confirmed PD-L1 overexpression in H1975 tumors, with a strong correlation between SUVmax and PD-L1 levels (<i>r</i> = 0.8060, <i>p</i> < 0.001). Together, these findings demonstrate the promise of <sup>68</sup>Ga-DOTA-P6 for noninvasive imaging of PD-L1 expression and potential prediction of immunotherapy response.

Molecular PharmaceuticsVol. 22(11)
Fujian Medical University (CN), Capital Medical University (CN), National Hospital (IN), Xuan Wu Hospital of the Capital Medical University (CN), Education Department of Fujian Province (CN), First Affiliated Hospital of Fujian Medical University (CN), National Center for Nanoscience and Technology (CN), Fujian Provincial Hospital (CN)
Openalex Percentile: Top 17%
Cancer Immunotherapy and Biomarkers
1.05
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