Personalized Vascularized Tumor Organoid-on-a-Chip for Tumor Metastasis and Therapeutic Targeting Assessment

Bibliographische Detailangaben
Veröffentlicht in:	Advanced materials (Deerfield Beach, Fla.). - 1998. - (2024) vom: 26. Dez., Seite e2412815
1. Verfasser:	Du, Yang (VerfasserIn)
Weitere Verfasser:	Wang, Yi-Ran, Bao, Qi-Yuan, Xu, Xin-Xin, Xu, Congling, Wang, Shaoxuan, Liu, Qi, Liu, Fan, Zeng, Yu-Lian, Wang, Ya-Jun, Liu, Wei, Liu, Yixin, Yu, Sai-Xi, Chen, Yu-Chen, Wang, Chen, Zhang, Weibin, Gao, Hai, Luo, Hao, Liu, Baohong, Jing, Guangyin, Guo, Ming, Chen, Fei Xavier, Liu, Yan-Jun
Format:	Online-Aufsatz
Sprache:	English
Veröffentlicht:	2024
Zugriff auf das übergeordnete Werk:	Advanced materials (Deerfield Beach, Fla.)
Schlagworte:	Journal Article angiogenesis microfluidics organoids‐on‐a‐chip tumor migration tumor perivascular niche

Beschreibung
Zusammenfassung:	© 2024 Wiley‐VCH GmbH. While tumor organoids have revolutionized cancer research by recapitulating the cellular architecture and behaviors of real tumors in vitro, their lack of functional vasculature hinders their attainment of full physiological capabilities. Current efforts to vascularize organoids are struggling to achieve well-defined vascular networks, mimicking the intricate hierarchy observed in vivo, which restricts the physiological relevance particularly for studying tumor progression and response to therapies targeting the tumor vasculature. An innovative vascularized patient-derived tumor organoids (PDTOs)-on-a-chip with hierarchical, tumor-specific microvasculature is presented, providing a versatile platform to explore tumor-vascular dynamics and antivascular drug efficacy. It is found that highly metastatic tumor cells induced vessel angiogenesis and simultaneously migrated toward blood vessels via the Notch pathway. The evident association between the angiogenic and migratory capacities of PDTOs and their clinical metastatic outcomes underscores the potential of the innovative platform for evaluating tumor metastasis, thus offering valuable insights for clinical decision-making. Ultimately, the system represents a promising avenue for advancing the understanding of tumor metastasis and developing personalized treatment strategies based on patient-specific tumor characteristics
Beschreibung:	Date Revised 26.12.2024 published: Print-Electronic Citation Status Publisher
ISSN:	1521-4095
DOI:	10.1002/adma.202412815