| Literature DB >> 35664759 |
Yu Long1,2, Fuqiang Shao1,2, Hao Ji1,2, Xiangming Song1,2, Xiaoying Lv1,2, Xiaotian Xia1,2, Qingyao Liu1,2, Yongxue Zhang1,2, Dexing Zeng3, Xiaoli Lan1,2, Yongkang Gai1,2.
Abstract
Ovarian cancer has the highest mortality rate of gynecologic malignancy. 18F-FDG positron emission tomography (PET) adds an important superiority over traditional anatomic imaging modalities in oncological imaging but has drawbacks including false negative results at the early stage of ovarian cancer, and false positives when inflammatory comorbidities are present. Aminopeptidase N (APN, also known as CD13) and integrin αvβ3 are two important targets overexpressed on tumor neo-vessels and frequently on ovarian cancerous cells. In this study, we used subcutaneous and metastatic models of ovarian cancer and muscular inflammation models to identify 68Ga-NGR-RGD, a heterodimeric tracer consisting of NGR and RGD peptides targeting CD13 and integrin αvβ3, respectively, and compared it with 18F-FDG. We found that 68Ga-NGR-RGD showed greater contrast in SKOV3 and ES-2 tumors than 18F-FDG. Low accumulation of 68Ga-NGR-RGD but avid uptake of 18F-FDG were observed in inflammatory muscle. In abdominal metastasis models, PET imaging with 68Ga-NGR-RGD allowed for rapid and clear delineation of both peritoneal and liver metastases (3-6 mm), whereas, 18F-FDG could not distinguish the metastasis lesions due to the relatively low metabolic activity in tumors and the interference of intestinal physiological 18F-FDG uptake. Due to the high tumor-targeting efficacy, low inflammatory uptake, and higher tumor-to-background ratios compared to that of 18F-FDG, 68Ga-NGR-RGD presents a promising imaging agent for diagnosis, staging, and follow-up of ovarian tumors.Entities:
Keywords: CD13; dual-receptor targeted; integrin αvβ3; ovarian cancer; positron emission tomography (PET)
Year: 2022 PMID: 35664759 PMCID: PMC9158524 DOI: 10.3389/fonc.2022.884554
Source DB: PubMed Journal: Front Oncol ISSN: 2234-943X Impact factor: 5.738
Figure 1Evaluation of binding affinity of 68Ga-NGR-RGD to ovarian tumor cells. (A) Western blot analysis of expression of CD13, integrin αv and integrin β3 in three ovarian tumor cell lines, with GAPDH used as internal control. (B) The semi-quantitative analysis was conducted through the integrated optical density ratio of CD13, integrin αv and integrin β3 to GAPDH. (C) Uptake of 68Ga-NGR-RGD in SKOV3, OVCAR4 and ES-2 ovarian tumor cell lines at 0.5 h, 1 h, 2 h. (D) Uptake of 68Ga-NGR-RGD in SKOV3 and ES-2 cells with or without blocking dose of NGR-RGD or NRG + RGD at 2 h. Cell uptake and blocking assays showed the 68Ga-NGR-RGD displayed specific binding to ovarian tumor cell lines. **p < 0.01, ***p < 0.001. Data are expressed as mean ± SD (n = 4).
Figure 2PET/CT imaging and quantitative analysis of 68Ga-NGR-RGD and 18F-FDG in subcutaneous ovarian cancer models and inflammation models. (A) Representative static small PET/CT images of 68Ga-NGR-RGD and 18F-FDG in SKOV3 and ES-2 xenograft mice and turpentine oil-induced muscular inflammation mice at 1 h post radiotracer injection. White arrows indicated tumors and yellow arrows indicate the inflammatory muscles. (B, C) Tumor-to-muscle (T/M) and tumor-to-liver (T/L) ratios among 68Ga-NGR-RGD and 18F-FDG imaging in SKOV3 (B) and ES-2 (C) xenograft mice. (D) Quantification of 68Ga-NGR-RGD and 18F-FDG uptake in SKOV3 and ES-2 tumors and inflammatory muscle. (E) Tumor-to-inflammatory muscle (Tumor/Inflammatory M) ratios. *p < 0.05, **p < 0.01, ***p < 0.001. Data are expressed as mean ± SD (n = 4).
Figure 3Biodistribution data of 68Ga-NGR-RGD in ovarian xenograft mice and immunohistochemistry analysis of tumor tissue sections. (A) Biodistribution of 68Ga-NGR-RGD in SKOV3 and ES-2 subcutaneous ovarian tumor models at 1 h after injection (n = 4). (B) Tumor-to-muscle (T/M) and tumor-to-liver (T/L) ratios of 68Ga-NGR-RGD in SKOV3 and ES-2 xenograft mice. (C) Immunohistochemistry staining of CD13, integrin αvβ3 and CD31 in SKOV3 and ES-2 tumor sections. Scale bar = 50 μm.
Figure 4Radiological-surgical correlation of abdominal metastatic models. (A–D) Representative static PET/CT images of 68Ga-NGR-RGD and 18F-FDG in SKOV3 and ES-2 abdominal ovarian metastasis models at 1 h post injection. In 68Ga-NGR-RGD PET/CT imaging, several metastatic lesions with strong uptake were found in the peritoneal space [(A, C), white circle]. In 18F-FDG PET/CT imaging, there were several stripe high uptake foci (B, D). Surgical exploration was done in the same animal after PET/CT imaging. Diffuse reddish-white nodules with a slightly firm texture were seen in the peritoneal space. Ex vivo PET imaging of excised tissues was performed. The small metastases showed relatively high 68Ga-NGR-RGD uptake and low 18F-FDG uptake. H, heart; B, bladder; T, tumor; M, muscle; LI, large intestine; SI, small intestine; Sp, spleen; K, kidney. Scale bar = 10 mm (E) ES-2 hepatic metastases (Hepatic M) showed strong uptake of 68Ga-NGR-RGD, but a similar low uptake of 18F-FDG as healthy liver. (F) HE staining confirmed that the lesion on liver was tumor tissue. Scale bar = 250 μm or 100 μm.
Figure 5Biodistribution for the validation of PET/CT results. Biodistribution of 68Ga-NGR-RGD in SKOV3 and ES-2 (A) abdominal metastatic ovarian tumor models and 18F-FDG in SKOV3 and ES-2 (B) metastatic models at 1 h after tracer injection. (C) Metastatic tumor lesions showed avid 68Ga-NGR-RGD uptake with a significantly higher tumor-to-small intestine (T/SI) and tumor-to-large intestine (T/LI) comparing to 18F-FDG. **p < 0.01. Data are expressed as mean ± SD (n = 4).