[<sup>64</sup>Cu]Cu-NOTA-Ivonescimab: a novel PET tracer for imaging VEGF expression in colorectal carcinoma

Colorectal cancer (CRC) has high rates of recurrence and metastasis, underscoring the need for improved diagnostic imaging methods to support accurate disease monitoring and inform treatment decisions. In this study, we present <sup>64</sup>CuCu-NOTA-Ivonescimab, a novel ImmunoPET tracer that specifically targets vascular endothelial growth factor-A (VEGF-A), which is upregulated in CRC. Ivonescimab was conjugated to a NOTA chelator and radiolabeled with copper-64, achieving over 99% radiochemical purity and demonstrating robust in vitro stability. <i>In vivo</i> PET imaging of HCT-116 CRC xenograft models showed specific, time-dependent tumor uptake of <sup>64</sup>CuCu-NOTA-Ivonescimab, peaking at 13.73 ± 0.95 %ID/g at 48 h post-injection. This was significantly higher than in the blocking group (5.20 ± 0.10 %ID/g, <i>P</i> = 0.00011). Furthermore, Ivonescimab conjugated with the near-infrared dye IRDye 800CW allowed complementary optical imaging, displaying significantly higher fluorescence intensity in tumors (25.49 ± 8.69 × 10<sup>8</sup> p/s/cm<sup>2</sup>/sr) compared to blocking controls (4.66 ± 0.95 × 10<sup>8</sup> p/s/cm<sup>2</sup>/sr, <i>P</i> = 0.0145) at 48 hours post-injection. Together, these findings establish <sup>64</sup>CuCu-NOTA-Ivonescimab as a promising imaging agent that offers precise, noninvasive quantification of VEGF expression, with potential to enhance diagnostic accuracy and guide therapy in CRC.

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Publication Details

Journal
Biophysics Reports
Published
2025-01-01
DOI
https://doi.org/10.52601/bpr.2025.250031
Primary Topic
Radiomics and Machine Learning in Medical Imaging
Type
article
Field-Weighted Citation Impact
0.00

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article

[64Cu]Cu-NOTA-Ivonescimab: a novel PET tracer for imaging VEGF expression in colorectal carcinoma

Molly C. DeLuca, Robert K.Y. Li, Yongshun Liu, Jonathan W. Engle et al.
Biophysics Reports
Radiomics and Machine Learning in Medical Imaging
article

[64Cu]Cu-NOTA-Ivonescimab: a novel PET tracer for imaging VEGF expression in colorectal carcinoma

Molly C. DeLuca, Robert K.Y. Li, Yongshun Liu, Jonathan W. Engle, Weibo Cai, Jessica C. Hsu, Lei Kang, Liming Li, Yuchun Wei, Wenpeng Huang, Yihan Yang
article en

Abstract

Colorectal cancer (CRC) has high rates of recurrence and metastasis, underscoring the need for improved diagnostic imaging methods to support accurate disease monitoring and inform treatment decisions. In this study, we present <sup>64</sup>CuCu-NOTA-Ivonescimab, a novel ImmunoPET tracer that specifically targets vascular endothelial growth factor-A (VEGF-A), which is upregulated in CRC. Ivonescimab was conjugated to a NOTA chelator and radiolabeled with copper-64, achieving over 99% radiochemical purity and demonstrating robust in vitro stability. <i>In vivo</i> PET imaging of HCT-116 CRC xenograft models showed specific, time-dependent tumor uptake of <sup>64</sup>CuCu-NOTA-Ivonescimab, peaking at 13.73 ± 0.95 %ID/g at 48 h post-injection. This was significantly higher than in the blocking group (5.20 ± 0.10 %ID/g, <i>P</i> = 0.00011). Furthermore, Ivonescimab conjugated with the near-infrared dye IRDye 800CW allowed complementary optical imaging, displaying significantly higher fluorescence intensity in tumors (25.49 ± 8.69 × 10<sup>8</sup> p/s/cm<sup>2</sup>/sr) compared to blocking controls (4.66 ± 0.95 × 10<sup>8</sup> p/s/cm<sup>2</sup>/sr, <i>P</i> = 0.0145) at 48 hours post-injection. Together, these findings establish <sup>64</sup>CuCu-NOTA-Ivonescimab as a promising imaging agent that offers precise, noninvasive quantification of VEGF expression, with potential to enhance diagnostic accuracy and guide therapy in CRC.

Biophysics ReportsVol. 11
Peking University First Hospital, National Natural Science Foundation of China, Peking University, National Institutes of Health, Beijing Nova Program, National Key Research and Development Program of China
Zero hunger
Openalex Percentile: Top 72%
Radiomics and Machine Learning in Medical Imaging
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