Sangmin Jeon Jun, Eunsung Hyeyoun Chang Yhee, Ji Young Koh, Eun-Young Kim, Yeounhee Jung, Jae Yun Jeong, Eun Ji Lee, Jong Won 심만규 Yoon, Hong Yeol Chang, Suhwan Kim, Kwang meyung Kim, Song Cheol 2024-01-12T02:36:00Z 2024-01-12T02:36:00Z 2022-09-23 2022-11 0168-3659 https://pubs.kist.re.kr/handle/201004/75965 Many preclinically tested nanoparticles in existing animal models fail to be directly translated into clinical ap-plications because of their poor resemblance to human cancer. Herein, the enhanced permeation and retention (EPR) effect of glycol chitosan nanoparticles (CNPs) in different tumor microenvironments (TMEs) was compared using different pancreatic tumor models, including pancreatic cancer cell line (BxPC3), patient-derived cancer cell (PDC), and patient-derived xenograft (PDX) models. CNPs were intravenously injected into different tumor models, and their accumulation efficiency was evaluated using non-invasive near-infrared fluorescence (NIRF) imaging. In particular, differences in angiogenic vessel density, collagen matrix, and hyaluronic acid content in tumor tissues of the BxPC3, PDC, and PDX models greatly affected the tumor-targeting efficiency of CNPs. In addition, different PDX models were established using different tumor tissues of patients to predict the clinical EPR effect of CNPs in inter-patient TMEs, wherein the gene expression levels of PECAM1, COL4A1, and HAS1 in human tumor tissues were observed to be closely related to the EPR effect of CNPs in PDX models. The results suggested that the PDX models could mimic inter-patient TMEs with different blood vessel structures and extracellular matrix (ECM) content that critically affect the tumor-targeting ability of CNPs in different pancreatic PDX models. This study provides a better understanding of the heterogeneity and complexity of inter -patient TMEs that can predict the response of various nanoparticles in individual tumors for personalized cancer therapy. English Elsevier BV Prediction the clinical EPR effect of nanoparticles in patient-derived xenograft models Article 10.1016/j.jconrel.2022.09.007 1 Journal of Controlled Release, v.351, pp.37 - 49 Journal of Controlled Release 351 37 49 N scie scopus 000860681500004 Chemistry, Multidisciplinary Pharmacology & Pharmacy Chemistry Pharmacology & Pharmacy Article GLYCOL CHITOSAN NANOPARTICLES DRUG-DELIVERY ANTITUMOR EFFICACY TARGETED DELIVERY TUMOR STROMA COLLAGEN PERMEABILITY PENETRATION HYALURONAN CHALLENGES Tumor microenvironment Tumor heterogeneity Nanoparticles EPR effect Patient -derived xenograft model