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Cancer Patient Tissueoid with Self‐Homing Nano‐Targeting of Metabolic InhibitorCancer Patient Tissueoid with Self-Homing Nano-Targeting of Metabolic Inhibitor

Other Titles
Cancer Patient Tissueoid with Self-Homing Nano-Targeting of Metabolic Inhibitor
Authors
Yoon, Hyo‐JinChung, Young ShinLee, Yong JaeYu, Seung EunBaek, SewoomKim, Hye‐SeonKim, Sang WunLee, Jung-YunKim, SunghoonSung, Hak Joon
Issue Date
Nov-2021
Publisher
Wiley-VCH Verlag
Keywords
cancer cell-derived nanovesicles; ovarian cancer; patient-specific treatments; self-homing nano-targeting; tissueoid
Citation
Advanced Science, v.8, no.22, pp 2102640
Journal Title
Advanced Science
Volume
8
Number
22
Start Page
2102640
URI
https://yscholarhub.yonsei.ac.kr/handle/2021.sw.yonsei/5359
DOI
10.1002/advs.202102640
ISSN
2198-3844
2198-3844
Abstract
The current paradigm of cancer medicine focuses on patient- and/or cancer-specific treatments, which has led to continuous progress in the development of patient representatives (e.g., organoids) and cancer-targeting carriers for drug screening. As breakthrough concepts, i) living cancer tissues convey intact profiles of patient-specific microenvironmental signatures. ii) The growth mechanisms of cancer mass with intense cell-cell interactions can be harnessed to develop self-homing nano-targeting by using cancer cell-derived nanovesicles (CaNVs). Hence, a tissueoid model of ovarian cancer (OC) is developed by culturing OC patient tissues in a 3D gel chip, whose microchannel networks enable perfusion to maintain tissue viability. A novel model of systemic cancer responses is approached by xenografting OC tissueoids into ischaemic hindlimbs in nude mice. CaNVs are produced to carry general chemotherapeutics or new drugs under pre/clinical studies that target the BRCA mutation or energy metabolism, thereby increasing the test scope. This pioneer study cross-validates drug responses from the OC clinic, tissueoid, and animal model by demonstrating the alignment of results in drug type-specific efficiency, BRCA mutation-dependent drug efficiency, and metabolism inhibition-based anti-cancer effects. Hence, this study provides a directional foundation to accelerate the discovery of patient-specific drugs with CaNV application towards future precision medicine.
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