Assessing personalized responses to anti-PD-1 treatment using patient-derived lung tumor-on-chip.
anti-PD-1
cancer models
cancer-associated fibroblasts
immuno-oncology
immunotherapy
lung cancer
microfluidics
patient-derived
tumor microenvironment
tumor-on-chip
Journal
Cell reports. Medicine
ISSN: 2666-3791
Titre abrégé: Cell Rep Med
Pays: United States
ID NLM: 101766894
Informations de publication
Date de publication:
27 Apr 2024
27 Apr 2024
Historique:
received:
28
10
2023
revised:
29
02
2024
accepted:
10
04
2024
medline:
5
5
2024
pubmed:
5
5
2024
entrez:
4
5
2024
Statut:
aheadofprint
Résumé
There is a compelling need for approaches to predict the efficacy of immunotherapy drugs. Tumor-on-chip technology exploits microfluidics to generate 3D cell co-cultures embedded in hydrogels that recapitulate simplified tumor ecosystems. Here, we present the development and validation of lung tumor-on-chip platforms to quickly and precisely measure ex vivo the effects of immune checkpoint inhibitors on T cell-mediated cancer cell death by exploiting the power of live imaging and advanced image analysis algorithms. The integration of autologous immunosuppressive FAP
Identifiants
pubmed: 38703767
pii: S2666-3791(24)00241-6
doi: 10.1016/j.xcrm.2024.101549
pii:
doi:
Types de publication
Journal Article
Langues
eng
Sous-ensembles de citation
IM
Pagination
101549Informations de copyright
Copyright © 2024 The Authors. Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of interests H.S. and I.V. are Roche employees. The STAMP method used in this work has been patented by I.V., A.M., E.M., and M.C.P.