Cited 16 time in
Engineering Therapeutic Strategies in Cancer Immunotherapy via Exogenous Delivery of Toll-like Receptor Agonists
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Jeong, Sehwan | - |
| dc.contributor.author | Choi, Yunyoung | - |
| dc.contributor.author | Kim, Kyobum | - |
| dc.date.accessioned | 2023-04-27T16:40:26Z | - |
| dc.date.available | 2023-04-27T16:40:26Z | - |
| dc.date.issued | 2021-09 | - |
| dc.identifier.issn | 1999-4923 | - |
| dc.identifier.issn | 1999-4923 | - |
| dc.identifier.uri | https://scholarworks.dongguk.edu/handle/sw.dongguk/4550 | - |
| dc.description.abstract | As a currently spotlighted method for cancer treatment, cancer immunotherapy has made a lot of progress in recent years. Among tremendous cancer immunotherapy boosters available nowadays, Toll-like receptor (TLR) agonists were specifically selected, because of their effective activation of innate and adaptive immune cells, such as dendritic cells (DCs), T cells, and macrophages. TLR agonists can activate signaling pathways of DCs to express CD80 and CD86 molecules, and secrete various cytokines and chemokines. The maturation of DCs stimulates naive T cells to differentiate into functional cells, and induces B cell activation. Although TLR agonists have anti-tumor ability by activating the immune system of the host, their drawbacks, which include poor efficiency and remarkably short retention time in the body, must be overcome. In this review, we classify and summarize the recently reported delivery strategies using (1) exogenous TLR agonists to maintain the biological and physiological signaling activities of cargo agonists, (2) usage of multiple TLR agonists for synergistic immune responses, and (3) co-delivery using the combination with other immunomodulators or stimulants. In contrast to naked TLR agonists, these exogenous TLR delivery strategies successfully facilitated immune responses and subsequently mediated anti-tumor efficacy. | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | MDPI | - |
| dc.title | Engineering Therapeutic Strategies in Cancer Immunotherapy via Exogenous Delivery of Toll-like Receptor Agonists | - |
| dc.type | Article | - |
| dc.publisher.location | 스위스 | - |
| dc.identifier.doi | 10.3390/pharmaceutics13091374 | - |
| dc.identifier.scopusid | 2-s2.0-85114506669 | - |
| dc.identifier.wosid | 000701408000001 | - |
| dc.identifier.bibliographicCitation | PHARMACEUTICS, v.13, no.9 | - |
| dc.citation.title | PHARMACEUTICS | - |
| dc.citation.volume | 13 | - |
| dc.citation.number | 9 | - |
| dc.type.docType | Review | - |
| dc.description.isOpenAccess | Y | - |
| dc.description.journalRegisteredClass | scie | - |
| dc.description.journalRegisteredClass | scopus | - |
| dc.relation.journalResearchArea | Pharmacology & Pharmacy | - |
| dc.relation.journalWebOfScienceCategory | Pharmacology & Pharmacy | - |
| dc.subject.keywordPlus | MATURE DENDRITIC CELLS | - |
| dc.subject.keywordPlus | LINKED TLR AGONISTS | - |
| dc.subject.keywordPlus | CPG ODN | - |
| dc.subject.keywordPlus | IMMUNE-RESPONSES | - |
| dc.subject.keywordPlus | VACCINE | - |
| dc.subject.keywordPlus | NANOPARTICLES | - |
| dc.subject.keywordPlus | INDUCE | - |
| dc.subject.keywordPlus | ADJUVANTS | - |
| dc.subject.keywordPlus | INNATE | - |
| dc.subject.keywordPlus | BIOMATERIALS | - |
| dc.subject.keywordAuthor | TLR agonist | - |
| dc.subject.keywordAuthor | adjuvant | - |
| dc.subject.keywordAuthor | cancer immunotherapy | - |
| dc.subject.keywordAuthor | drug delivery system | - |
| dc.subject.keywordAuthor | nanomedicine | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
30, Pildong-ro 1-gil, Jung-gu, Seoul, 04620, Republic of Korea+82-2-2260-3114
Copyright(c) 2023 DONGGUK UNIVERSITY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
