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Lipid Nanoparticle (LNP) Enables mRNA Delivery for Cancer Therapy.
Zong, Yan; Lin, Yi; Wei, Tuo; Cheng, Qiang.
  • Zong Y; Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
  • Lin Y; Department of Biomedical Engineering, College of Future Technology, Peking University, Beijing, 100871, China.
  • Wei T; State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, 100101, China.
  • Cheng Q; Beijing Institute for Stem Cell and Regenerative Medicine, Beijing, 100101, China.
Adv Mater ; : e2303261, 2023 May 17.
Article in English | MEDLINE | ID: covidwho-2327464
ABSTRACT
Messenger RNA (mRNA) has received great attention in the prevention and treatment of various diseases due to the success of COVID-19 mRNA vaccines (Comirnaty and Spikevax). To meet the therapeutic purpose, it is required that mRNA must enter the target cells and express sufficient proteins. Therefore, the development of effective delivery systems is necessary and crucial. Lipid nanoparticle (LNP) represents a remarkable vehicle that has indeed accelerated mRNA applications in humans, as several mRNA-based therapies have already been approved or are in clinical trials. In this review, we focus on mRNA-LNP mediated anticancer therapy. We summarize the main development strategies of mRNA-LNP formulations, discuss representative therapeutic approaches in cancer, and point out current challenges and possible future directions of this research field. We hope these delivered messages could help further improve the application of mRNA-LNP technology in cancer therapy. This article is protected by copyright. All rights reserved.
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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal: Adv Mater Journal subject: Biophysics / Chemistry Year: 2023 Document Type: Article Affiliation country: Adma.202303261

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Full text: Available Collection: International databases Database: MEDLINE Type of study: Prognostic study Topics: Vaccines Language: English Journal: Adv Mater Journal subject: Biophysics / Chemistry Year: 2023 Document Type: Article Affiliation country: Adma.202303261