001     309887
005     20260219105732.0
024 7 _ |a 10.7150/thno.118298
|2 doi
024 7 _ |a pmid:41695488
|2 pmid
024 7 _ |a pmc:PMC12905668
|2 pmc
037 _ _ |a DKFZ-2026-00371
041 _ _ |a English
082 _ _ |a 610
100 1 _ |a Zhang, Yizheng
|b 0
245 _ _ |a Modeling immunotherapies in live 3D human cancer tissue bioreactors.
260 _ _ |a Wyoming, NSW
|c 2026
|b Ivyspring
336 7 _ |a article
|2 DRIVER
336 7 _ |a Output Types/Journal article
|2 DataCite
336 7 _ |a Journal Article
|b journal
|m journal
|0 PUB:(DE-HGF)16
|s 1771494995_3004206
|2 PUB:(DE-HGF)
336 7 _ |a ARTICLE
|2 BibTeX
336 7 _ |a JOURNAL_ARTICLE
|2 ORCID
336 7 _ |a Journal Article
|0 0
|2 EndNote
500 _ _ |a #DKTKZFB26#
520 _ _ |a Background: Cancer immunotherapies have shown remarkable efficacy in advanced malignancies, yet many patients remain unresponsive. This variability, along with concerns about adverse effects and healthcare costs, highlights the need for predictive biomarkers and physiologically relevant cancer models to forecast individual treatment responses. Existing systems inadequately recapitulate the human tumor microenvironment (TME), which is essential for understanding immune-tumor interactions and treatment efficacy. Here, we developed an ex vivo 3D human tissue culture model that preserves the native TME for functional immunotherapy testing. Such a short-term culture platform also supports functional precision medicine by enabling rapid ex vivo assessment of therapeutic responses to guide clinical decisions. Methods: Fresh, intact human lymph node (LN) tissue pieces were cultured in optimized perfusion bioreactors for three days, during which CAR T cell therapies and antibody-based treatments were administered. Post-culture analyses were performed using flow cytometry, histology, and multiplexed fluorescence microscopy. Results: The bioreactor system significantly improved tissue viability compared to traditional plate cultures. Novel CAR T cells with enhanced PI3K signaling exhibited superior tissue infiltration but showed comparable cytotoxicity to conventional CAR T cells. Pembrolizumab, a PD-1 inhibitor, significantly reduced lymphoma and melanoma cell viability without affecting benign LN tissues. Conclusions: This optimized bioreactor culture system provides a robust platform for evaluating immunotherapy efficacy within a physiologically relevant TME. It offers valuable potential for advancing personalized treatment strategies, accelerating the understanding of immunotherapy mechanisms, and improving clinical outcomes.
536 _ _ |a 899 - ohne Topic (POF4-899)
|0 G:(DE-HGF)POF4-899
|c POF4-899
|f POF IV
|x 0
588 _ _ |a Dataset connected to CrossRef, PubMed, , Journals: inrepo02.dkfz.de
650 _ 7 |a 3D tissue culture
|2 Other
650 _ 7 |a CAR T cells
|2 Other
650 _ 7 |a CODEX multiplexed fluorescence microscopy.
|2 Other
650 _ 7 |a immune checkpoint inhibitor
|2 Other
650 _ 7 |a perfusion bioreactor
|2 Other
650 _ 7 |a Receptors, Chimeric Antigen
|2 NLM Chemicals
650 _ 2 |a Humans
|2 MeSH
650 _ 2 |a Bioreactors
|2 MeSH
650 _ 2 |a Tumor Microenvironment: immunology
|2 MeSH
650 _ 2 |a Immunotherapy, Adoptive: methods
|2 MeSH
650 _ 2 |a Neoplasms: therapy
|2 MeSH
650 _ 2 |a Neoplasms: immunology
|2 MeSH
650 _ 2 |a Neoplasms: pathology
|2 MeSH
650 _ 2 |a Lymph Nodes: immunology
|2 MeSH
650 _ 2 |a Lymph Nodes: pathology
|2 MeSH
650 _ 2 |a Immunotherapy: methods
|2 MeSH
650 _ 2 |a Cell Line, Tumor
|2 MeSH
650 _ 2 |a Receptors, Chimeric Antigen: immunology
|2 MeSH
650 _ 2 |a Tissue Culture Techniques: methods
|2 MeSH
700 1 _ |a Foth, Ivan
|b 1
700 1 _ |a Makky, Ahmad
|b 2
700 1 _ |a Bucher, Philip
|b 3
700 1 _ |a Grimm, Melanie
|b 4
700 1 _ |a Bruch, Peter-Martin
|b 5
700 1 _ |a Hagelstein, Ilona
|0 P:(DE-He78)a2cea18c82441ff1f96b2152b3de09d9
|b 6
700 1 _ |a Dietrich, Sascha
|b 7
700 1 _ |a Leibold, Josef
|b 8
700 1 _ |a Flatz, Lukas
|b 9
700 1 _ |a Feucht, Judith
|b 10
700 1 _ |a Becker, Sven
|b 11
700 1 _ |a Schürch, Christian M
|b 12
773 _ _ |a 10.7150/thno.118298
|g Vol. 16, no. 8, p. 3928 - 3945
|0 PERI:(DE-600)2592097-2
|n 8
|p 3928 - 3945
|t Theranostics
|v 16
|y 2026
|x 1838-7640
909 C O |p VDB
|o oai:inrepo02.dkfz.de:309887
910 1 _ |a Deutsches Krebsforschungszentrum
|0 I:(DE-588b)2036810-0
|k DKFZ
|b 6
|6 P:(DE-He78)a2cea18c82441ff1f96b2152b3de09d9
913 1 _ |a DE-HGF
|b Programmungebundene Forschung
|l ohne Programm
|1 G:(DE-HGF)POF4-890
|0 G:(DE-HGF)POF4-899
|3 G:(DE-HGF)POF4
|2 G:(DE-HGF)POF4-800
|4 G:(DE-HGF)POF
|v ohne Topic
|x 0
914 1 _ |y 2026
915 _ _ |a JCR
|0 StatID:(DE-HGF)0100
|2 StatID
|b THERANOSTICS : 2022
|d 2024-12-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0200
|2 StatID
|b SCOPUS
|d 2024-12-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0300
|2 StatID
|b Medline
|d 2024-12-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0501
|2 StatID
|b DOAJ Seal
|d 2024-02-12T08:59:32Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0500
|2 StatID
|b DOAJ
|d 2024-02-12T08:59:32Z
915 _ _ |a Peer Review
|0 StatID:(DE-HGF)0030
|2 StatID
|b DOAJ : Peer review
|d 2024-02-12T08:59:32Z
915 _ _ |a Creative Commons Attribution CC BY (No Version)
|0 LIC:(DE-HGF)CCBYNV
|2 V:(DE-HGF)
|b DOAJ
|d 2024-02-12T08:59:32Z
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0199
|2 StatID
|b Clarivate Analytics Master Journal List
|d 2024-12-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1050
|2 StatID
|b BIOSIS Previews
|d 2024-12-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0160
|2 StatID
|b Essential Science Indicators
|d 2024-12-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)1190
|2 StatID
|b Biological Abstracts
|d 2024-12-12
915 _ _ |a WoS
|0 StatID:(DE-HGF)0113
|2 StatID
|b Science Citation Index Expanded
|d 2024-12-12
915 _ _ |a DBCoverage
|0 StatID:(DE-HGF)0150
|2 StatID
|b Web of Science Core Collection
|d 2024-12-12
915 _ _ |a IF >= 10
|0 StatID:(DE-HGF)9910
|2 StatID
|b THERANOSTICS : 2022
|d 2024-12-12
915 _ _ |a Article Processing Charges
|0 StatID:(DE-HGF)0561
|2 StatID
|d 2024-12-12
915 _ _ |a Fees
|0 StatID:(DE-HGF)0700
|2 StatID
|d 2024-12-12
920 1 _ |0 I:(DE-He78)TU01-20160331
|k TU01
|l DKTK Koordinierungsstelle Tübingen
|x 0
920 1 _ |0 I:(DE-He78)TU02-20160331
|k TU02
|l DKTK TU Translationale Immunologie
|x 1
980 _ _ |a journal
980 _ _ |a VDB
980 _ _ |a I:(DE-He78)TU01-20160331
980 _ _ |a I:(DE-He78)TU02-20160331
980 _ _ |a UNRESTRICTED


LibraryCollectionCLSMajorCLSMinorLanguageAuthor
Marc 21