Protocol for High Throughput 3D Drug Screening of Patient Derived Melanoma and Renal Cell Carcinoma.

3D cell models HTS Melanoma Patient Derived Organoids Phenotypic RCC Renal Cell Carcinoma Scaffold free organoid renal carcinoma

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:
11 Jan 2024
Historique:
received: 27 10 2023
revised: 29 12 2023
accepted: 10 01 2024
medline: 14 1 2024
pubmed: 14 1 2024
entrez: 13 1 2024
Statut: aheadofprint

Résumé

High Throughput Screening (HTS) with 3D cell models is possible thanks to the recent progress and development in 3D cell culture technologies. Results from multiple studies have demonstrated different drug responses between 2D and 3D cell culture. It is now widely accepted that 3D cell models more accurately represent the physiologic conditions of tumors over 2D cell models. However, there is still a need for more accurate tests that are scalable and better imitate the complex conditions in living tissues. Here, we describe ultrahigh throughput 3D methods of drug response profiling in patient derived primary tumors including melanoma as well as renal cell carcinoma that were tested against the NCI oncologic set of FDA approved drugs. We also tested their autologous patient derived cancer associated fibroblasts, varied the in-vitro conditions using matrix vs matrix free methods and completed this in both 3D vs 2D rendered cancer cells. The result indicates a heterologous response to the drugs based on their genetic background, but not on their maintenance condition. Here, we present the methods and supporting results of the HTS efforts using these 3D of organoids derived from patients. This demonstrated the possibility of using patient derived 3D cells for HTS and expands on our screening capabilities for testing other types of cancer using clinically approved anti-cancer agents to find drugs for potential off label use.

Identifiants

pubmed: 38218316
pii: S2472-5552(24)00002-9
doi: 10.1016/j.slasd.2024.01.002
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

Copyright © 2024. Published by Elsevier Inc.

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.

Auteurs

Luis M Ortiz Jordan (LM)

The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, High-Throughput Molecular Screening Center, Department of Molecular Medicine, Jupiter, Florida 33458, USA.

Virneliz Fernández Vega (VF)

The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, High-Throughput Molecular Screening Center, Department of Molecular Medicine, Jupiter, Florida 33458, USA.

Justin Shumate (J)

The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, High-Throughput Molecular Screening Center, Department of Molecular Medicine, Jupiter, Florida 33458, USA.

Adam Peles (A)

The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, High-Throughput Molecular Screening Center, Department of Molecular Medicine, Jupiter, Florida 33458, USA.

Jordan Zeiger (J)

The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, High-Throughput Molecular Screening Center, Department of Molecular Medicine, Jupiter, Florida 33458, USA.

Louis Scampavia (L)

The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, High-Throughput Molecular Screening Center, Department of Molecular Medicine, Jupiter, Florida 33458, USA.

Timothy P Spicer (TP)

The Herbert Wertheim UF Scripps Institute for Biomedical Innovation and Technology, High-Throughput Molecular Screening Center, Department of Molecular Medicine, Jupiter, Florida 33458, USA. Electronic address: spicert@ufl.edu.

Classifications MeSH