Lead identification using 3D models of pancreatic cancer.
HTS
Magnetic bioprinting
Organoid
Pancreatic cancer
Phenotypic
Journal
SLAS discovery : advancing life sciences R & D
ISSN: 2472-5560
Titre abrégé: SLAS Discov
Pays: United States
ID NLM: 101697563
Informations de publication
Date de publication:
04 2022
04 2022
Historique:
received:
04
03
2022
accepted:
14
03
2022
pubmed:
21
3
2022
medline:
13
4
2022
entrez:
20
3
2022
Statut:
ppublish
Résumé
Recent technological advances have enabled 3D tissue culture models for fast and affordable HTS. We are no longer bound to 2D models for anti-cancer agent discovery, and it is clear that 3D tumor models provide more predictive data for translation of preclinical studies. In a previous study, we validated a microplate 3D spheroid-based technology for its compatibility with HTS automation. Small-scale screens using approved drugs have demonstrated that drug responses tend to differ between 2D and 3D cancer cell proliferation models. Here, we applied this 3D technology to the first ever large-scale screening effort completing HTS on over 150K molecules against primary pancreatic cancer cells. It is the first demonstration that a screening campaign of this magnitude using clinically relevant, ex-vivo 3D pancreatic tumor models established directly from biopsy, can be readily achieved in a fashion like traditional drug screen using 2D cell models. We identified four unique series of compounds with sub micromolar and even low nanomolar potency against a panel of patient derived pancreatic organoids. We also applied the 3D technology to test lead efficacy in autologous cancer associated fibroblasts and found a favorable profile for better efficacy in the cancer over wild type primary cells, an important milestone towards better leads. Importantly, the initial leads have been further validated in across multiple institutes with concordant outcomes. The work presented here represents the genesis of new small molecule leads found using 3D models of primary pancreas tumor cells.
Identifiants
pubmed: 35306207
pii: S2472-5552(22)12518-9
doi: 10.1016/j.slasd.2022.03.002
pmc: PMC10258910
mid: NIHMS1892498
pii:
doi:
Types de publication
Journal Article
Research Support, N.I.H., Extramural
Research Support, Non-U.S. Gov't
Langues
eng
Sous-ensembles de citation
IM
Pagination
159-166Subventions
Organisme : NCI NIH HHS
ID : P30 CA045508
Pays : United States
Organisme : NIH HHS
ID : S10 OD025279
Pays : United States
Organisme : NIH HHS
ID : S10 OD026857
Pays : United States
Organisme : NCI NIH HHS
ID : R33 CA206949
Pays : United States
Informations de copyright
Copyright © 2022 The Author(s). Published by Elsevier Inc. All rights reserved.
Déclaration de conflit d'intérêts
Declaration of Competing Interest The authors declared no potential conflict of interest with respect to the research, authorship and or publication of this article. This article is being reproduced in print post-publication in a sponsored print collection for distribution. The company sponsoring the print collection was not involved in the editorial selection or review of this article.
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