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Cited 1 time in webofscience Cited 3 time in scopus
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dc.contributor.authorKim, Jisoo-
dc.contributor.authorKim, Jungmin-
dc.contributor.authorGAO GE-
dc.contributor.authorCHOI, YOO MI-
dc.contributor.authorkimjaewook, KIMJAEWOOK-
dc.contributor.authorCHO, DONGWOO-
dc.contributor.author정재호-
dc.contributor.authorJANG, JIN AH-
dc.date.accessioned2024-03-04T07:41:05Z-
dc.date.available2024-03-04T07:41:05Z-
dc.date.created2024-02-20-
dc.date.issued2024-03-
dc.identifier.issn1616-301X-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/120740-
dc.description.abstract<jats:title>Abstract</jats:title><jats:p>Accurate prediction of treatment response for cancer patients is essential for overcoming intrinsic therapy resistance that results from genetic heterogeneity, varying tumor growth kinetics, and the complex tumor microenvironment. To achieve this goal, there is an urgent need for effective preclinical in vitro models that recapitulate the molecular–pathologic features and intricate ecology of native tumors for precision medicine. In this study, a vascularized organoid model (VOM) composed of patient‐derived gastric cancer organoids (PDOs), perfusable endothelium, and stomach decellularized extracellular matrix is presented that enables the prediction of clinical response to VEGFR2‐targeted therapy in gastric cancer patients. The results indicate that VOMs are dependent on the PDO molecular subtype. Moreover, VOMs accurately reproduce the clinically observed responses of patients treated with VEGFR2 inhibitor. Therefore, VOMs represent a valuable platform for providing clinical predictions for personalized testing and potential discovery of therapeutic drugs in various cancers that lack standardized regimens.</jats:p>-
dc.languageEnglish-
dc.publisherJohn Wiley & Sons Ltd.-
dc.relation.isPartOfAdvanced Functional Materials-
dc.titleBioprinted Organoids Platform with Tumor Vasculature for Implementing Precision Personalized Medicine Targeted Towards Gastric Cancer-
dc.typeArticle-
dc.identifier.doi10.1002/adfm.202306676-
dc.type.rimsART-
dc.identifier.bibliographicCitationAdvanced Functional Materials, v.34, no.11-
dc.identifier.wosid001112429300001-
dc.citation.number11-
dc.citation.titleAdvanced Functional Materials-
dc.citation.volume34-
dc.contributor.affiliatedAuthorKim, Jisoo-
dc.contributor.affiliatedAuthorGAO GE-
dc.contributor.affiliatedAuthorCHOI, YOO MI-
dc.contributor.affiliatedAuthorkimjaewook, KIMJAEWOOK-
dc.contributor.affiliatedAuthorCHO, DONGWOO-
dc.contributor.affiliatedAuthor정재호-
dc.contributor.affiliatedAuthorJANG, JIN AH-
dc.identifier.scopusid2-s2.0-85178236549-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.isOpenAccessN-
dc.type.docTypeArticle-
dc.subject.keywordPlusENDOTHELIAL GROWTH-FACTOR-
dc.subject.keywordPlusEXTRACELLULAR-MATRIX-
dc.subject.keywordPlusINTESTINAL-TYPE-
dc.subject.keywordPlusCARCINOMA-
dc.subject.keywordPlusMICROENVIRONMENT-
dc.subject.keywordPlusANGIOGENESIS-
dc.subject.keywordPlusASSOCIATION-
dc.subject.keywordPlusCOLLAGEN-
dc.subject.keywordPlusRECEPTOR-
dc.subject.keywordPlusTHERAPY-
dc.subject.keywordAuthor3D cell printing-
dc.subject.keywordAuthordrug test platform-
dc.subject.keywordAuthorgastric cancer-
dc.subject.keywordAuthortargeted therapy-
dc.subject.keywordAuthortumor-on-a-chip-
dc.relation.journalWebOfScienceCategoryChemistry, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryChemistry, Physical-
dc.relation.journalWebOfScienceCategoryNanoscience & Nanotechnology-
dc.relation.journalWebOfScienceCategoryMaterials Science, Multidisciplinary-
dc.relation.journalWebOfScienceCategoryPhysics, Applied-
dc.relation.journalWebOfScienceCategoryPhysics, Condensed Matter-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaChemistry-
dc.relation.journalResearchAreaScience & Technology - Other Topics-
dc.relation.journalResearchAreaMaterials Science-
dc.relation.journalResearchAreaPhysics-

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