| Literature DB >> 33406361 |
Xiaohui Zhang1, Lisa Detering1, Deborah Sultan1, Hannah Luehmann1, Lin Li2, Gyu Seong Heo1, Xiuli Zhang1, Lanlan Lou1, Patrick M Grierson2, Suellen Greco3, Marianna Ruzinova4, Richard Laforest1, Farrokh Dehdashti1, Kian-Huat Lim2, Yongjian Liu1.
Abstract
Pancreatic ductal adenocarcinoma (PDAC) is a deadly malignancy with dire prognosis due to aggressive biology, lack of effective tools for diagnosis at an early stage, and limited treatment options. Detection of PDAC using conventional radiographic imaging is limited by the dense, hypovascular stromal component and relatively scarce neoplastic cells within the tumor microenvironment (TME). The CC motif chemokine 2 (CCL2) and its cognate receptor CCR2 (CCL2/CCR2) axis are critical in fostering and maintaining this kind of TME by recruiting immunosuppressive myeloid cells such as the tumor-associated macrophages, thereby presenting an opportunity to exploit this axis for both diagnostic and therapeutic purposes. We engineered CCR2-targeting ultrasmall copper nanoparticles (Cu@CuOx) as nanovehicles not only for targeted positron emission tomography imaging by intrinsic radiolabeling with 64Cu but also for loading and delivery of the chemotherapy drug gemcitabine to PDAC. This 64Cu-radiolabeled nanovehicle allowed sensitive and accurate detection of PDAC malignancy in autochthonous genetically engineered mouse models. The ultrasmall Cu@CuOx showed efficient renal clearance, favorable pharmacokinetics, and minimal in vivo toxicity. Systemic administration of gemcitabine-loaded Cu@CuOx effectively suppressed the progression of PDAC tumors in a syngeneic xenograft mouse model and prolonged survival. These CCR2-targeted ultrasmall nanoparticles offer a promising image-guided therapeutic agent and show great potential for translation.Entities:
Keywords: CCR2; PET; cancer treatment; pancreatic ductal adenocarcinoma; ultrasmall copper nanoparticle
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Year: 2021 PMID: 33406361 PMCID: PMC7846978 DOI: 10.1021/acsnano.0c08185
Source DB: PubMed Journal: ACS Nano ISSN: 1936-0851 Impact factor: 15.881