Please use this identifier to cite or link to this item: http://dx.doi.org/10.25673/110782
Title: Human tissue cultures of lung cancer predict patient susceptibility to immune-checkpoint inhibition
Author(s): Junk, David
Krämer, Sebastian
Broschewitz, Johannes
Laura, Hennig
Massa, Chiara
Moulla, Yousef
Hoang, Ngoc Anh
Monecke, Astrid
Eichfeld, UweLook up in the Integrated Authority File of the German National Library
Bechmann, Ingo JürgenLook up in the Integrated Authority File of the German National Library
Lordick, FlorianLook up in the Integrated Authority File of the German National Library
Seliger, BarbaraLook up in the Integrated Authority File of the German National Library
Kallendrusch, SonjaLook up in the Integrated Authority File of the German National Library
Issue Date: 2021
Type: Article
Language: English
Abstract: Despite novel immunotherapies being approved and established for the treatment of non-small cell lung cancer (NSCLC), ex vivo models predicting individual patients’ responses to immunotherapies are missing. Especially immune modulating therapies with moderate response rates urge for biomarkers and/or assays to determine individual prediction of treatment response and investigate resistance mechanisms. Here, we describe a standardized ex vivo tissue culture model to investigate individual tumor responses. NSCLC tissue cultures preserve morphological characteristics of the baseline tumor specimen for up to 12 days ex vivo and also maintain T-cell function for up to 10 days ex vivo. A semi-automated analysis of proliferating and apoptotic tumor cells was used to evaluate tissue responses to the PD-1 inhibitor nivolumab (n = 12), from which two cases could be successfully correlated to the clinical outcome. T-cell responses upon nivolumab treatment were investigated by flow cytometry and multispectral imaging. Alterations in the frequency of the Treg population and reorganization of tumor tissues could be correlated to nivolumab responsiveness ex vivo. Thus, our findings not only demonstrate the functionality of T cells in NSCLC slice cultures up to 10 days ex vivo, but also suggests this model for stratifying patients for treatment selection and to investigate in depth the tumor-associated T-cell regulation.
URI: https://opendata.uni-halle.de//handle/1981185920/112737
http://dx.doi.org/10.25673/110782
Open Access: Open access publication
License: (CC BY 4.0) Creative Commons Attribution 4.0(CC BY 4.0) Creative Commons Attribution 4.0
Journal Title: Cell death discovery
Publisher: Nature Publishing Group
Publisher Place: London
Volume: 7
Issue: 1
Original Publication: 10.1038/s41420-021-00651-5
Appears in Collections:Open Access Publikationen der MLU

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