脂质体
假阳性悖论
炎症
癌症
正电子发射断层摄影术
癌症研究
体内
化学
医学
癌细胞
核医学
生物化学
内科学
生物
计算机科学
机器学习
生物技术
作者
Chen Tzror-Azankot,Oshra Betzer,Tamar Sadan,Menachem Motiei,Shai Rahimipour,Ayelet Atkins,Aron Popovtzer,Rachela Popovtzer
出处
期刊:ACS Nano
[American Chemical Society]
日期:2020-12-24
卷期号:15 (1): 1301-1309
被引量:26
标识
DOI:10.1021/acsnano.0c08530
摘要
Fluorodeoxyglucose-positron emission tomography (18F-FDG-PET) is a powerful tool for cancer detection, staging, and follow-up. However, 18F-FDG-PET imaging has high rates of false positives, as it cannot distinguish between tumor and inflammation regions that both feature increased glucose metabolic activity. In the present study, we engineered liposomes coated with glucose and the chelator dodecane tetraacetic acid (DOTA) complexed with copper, to serve as a diagnostic technology for differentiating between cancer and inflammation. This liposome technology is based on FDA-approved materials and enables complexation with metal cations and radionuclides. We found that these liposomes were preferentially uptaken by cancer cell lines with high metabolic activity, mediated via glucose transporter-1. In vivo, these liposomes were avidly uptaken by tumors, as compared to liposomes without glucose coating. Moreover, in a combined tumor-inflammation mouse model, these liposomes accumulated in the tumor tissue and not in the inflammation region. Thus, this technology shows high specificity for tumors while evading inflammation and has potential for rapid translation to the clinic and integration with existing PET imaging systems, for effective reduction of false positives in cancer diagnosis.
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