肾细胞癌
GSM演进的增强数据速率
癌
癌症研究
化学
内科学
医学
计算机科学
人工智能
作者
Asif Shahzad,Zhuoran Teng,Muhammad Arfat Yameen,Wenjing Liu,Kun Cui,Xiangjie Liu,Yijian Sun,Q. Duan,JiaoJiao Xia,Yurong Dong,Zi-Yuan Bai,Dongmei Peng,Shouxin Zhang,Zhe Xü,Jiang Pi,Zhe Yang,Shouxin Zhang
标识
DOI:10.1016/j.biopha.2024.117465
摘要
The kidney plays a crucial role in regulating homeostasis within the human body. Renal cell carcinoma (RCC) is the most common form of kidney cancer, accounting for nearly 90 % of all renal malignancies. Despite the availability of various therapeutic strategies, RCC remains a challenging disease due to its resistance to conventional treatments. Nanotechnology has emerged as a promising field, offering new opportunities in cancer therapeutics. It presents several advantages over traditional methods, enabling diverse biomedical applications, including drug delivery, prevention, diagnosis, and treatment. Lipid nanoparticles (LNPs), approximately 100 nm in size, are derived from a range of lipids and other biochemical compounds. these particulates are designed to overcome biological barriers, allowing them to selectively accumulate at diseased target sites for effective therapeutic action. Many pharmaceutically important compounds face challenges such as poor solubility in aqueous solutions, chemical and physiological instability, or toxicity. LNP technology stands out as a promising drug delivery system for bioactive organic compounds. This article reviews the applications of LNPs in RCC treatment and explores their potential clinical translation, identifying the most viable LNPs for medical use. With ongoing advancement in LNP-based anticancer strategies, there is a growing potential to improve the management and treatment of renal cancer.
科研通智能强力驱动
Strongly Powered by AbleSci AI