journal article·2024-12-24

Magnetic Resonance Imaging-Based Radiogenomic Analysis Reveals Genomic Determinants for Nanoparticle Delivery into Tumors

Di Liu, Na Lu, Fengchao Zang, Mingze Lu, Jingyue Zhang, Ying Zhao, Hao Wan, Mengjun Wang, Qian-Qian Li, Fei Wang, Shouhua Luo, Ming Ma, Fangfang Shi, Haoan Wu, Jing Tu, Yu Zhang

ACS Nano· Volume 18· Issue 51
Publisher page

Abstract

Even though the enhanced permeability and retention (EPR) effect is applicable for the passive targeting of solid tumors, many nanodrugs have failed to achieve meaningful clinical outcomes due to the heterogeneity of EPR effect. Therefore, understanding the mechanism of the EPR effect is crucial to overcome the obstacles nanomedicines face in clinical translation. The aim of this study was to establish a reliable method to increase awareness of the critical influencing factors of nanoparticle (NP) transport into tumors based on the EPR effect using a combined radiogenomics and clinical magnetic resonance imaging (MRI) technique and gene set pathway enrichment analysis. Employing poly(lactic- co -glycolic acid) (PLGA)-coated Fe 3 O 4 NPs as the contrast agent, the monolayer and multilayer distribution of the NPs were observed and quantitatively analyzed by MRI, improving the accuracy of evaluating vascular permeability by MRI. By performing Gene Ontology (GO) and Kyoto Encyclopedia of Genes and Genomes (KEGG) enrichment analyses of genes and pathways, we identified a variety of genes affecting vascular permeability, such as Cldn1, Dlg2, Bves, Prkag3, Cldn10, and Cldn8, which are related to tight junctions and control the permeability of blood vessels in tumors. The method presented here provides an MRI-supported approach to increase the breadth of data collected from genetic screens, reveals genetic evidence of the presence of NPs in tumors and lays a foundation for clinical patient stratification and personalized treatment.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Radiomics and Machine Learning in Medical Imaging · RNA modifications and cancer · Machine Learning in Materials Science

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

State Key Laboratory of Digital Medical Engineering, Jiangsu Key Laboratory for Biomaterials and Devices, School of Biological Science and Medical Engineering & Basic Medicine Research and Innovation Center of Ministry of Education, Zhongda Hospital, Southeast University, Nanjing 211102, P. R. China

Jiangsu Key Laboratory of Molecular and Functional Imaging, School of Medicine, Southeast University, Nanjing 210096, P. R. China

Department of Oncology, Zhongda Hospital, School of Medicine, Southeast University, Nanjing 210096, P. R. China

Funding

Jiangsu Planned Projects for Postdoctoral Research Funds · National Key Research and Development Program of China · Natural Science Foundation of Jiangsu Province · Fundamental Research Funds for the Central Universities · National Natural Science Foundation of China · Scientific Research Foundation of Nanjing Health Commission

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