Cargando…

Patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response

Significance: Accessible tools are needed for rapid, non-destructive imaging of patient-derived cancer organoid (PCO) treatment response to accelerate drug discovery and streamline treatment planning for individual patients. Aim: To segment and track individual PCOs with wide-field one-photon redox...

Descripción completa

Detalles Bibliográficos
Autores principales: Gil, Daniel A., Deming, Dustin, Skala, Melissa C.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Society of Photo-Optical Instrumentation Engineers 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983069/
https://www.ncbi.nlm.nih.gov/pubmed/33754540
http://dx.doi.org/10.1117/1.JBO.26.3.036005
_version_ 1783667842610102272
author Gil, Daniel A.
Deming, Dustin
Skala, Melissa C.
author_facet Gil, Daniel A.
Deming, Dustin
Skala, Melissa C.
author_sort Gil, Daniel A.
collection PubMed
description Significance: Accessible tools are needed for rapid, non-destructive imaging of patient-derived cancer organoid (PCO) treatment response to accelerate drug discovery and streamline treatment planning for individual patients. Aim: To segment and track individual PCOs with wide-field one-photon redox imaging to extract morphological and metabolic variables of treatment response. Approach: Redox imaging of the endogenous fluorophores, nicotinamide dinucleotide (NADH), nicotinamide dinucleotide phosphate (NADPH), and flavin adenine dinucleotide (FAD), was used to monitor the metabolic state and morphology of PCOs. Redox imaging was performed on a wide-field one-photon epifluorescence microscope to evaluate drug response in two colorectal PCO lines. An automated image analysis framework was developed to track PCOs across multiple time points over 48 h. Variables quantified for each PCO captured metabolic and morphological response to drug treatment, including the optical redox ratio (ORR) and organoid area. Results: The ORR (NAD(P)H/(FAD + NAD(P)H)) was independent of PCO morphology pretreatment. Drugs that induced cell death decreased the ORR and growth rate compared to control. Multivariate analysis of redox and morphology variables identified distinct PCO subpopulations. Single-organoid tracking improved sensitivity to drug treatment compared to pooled organoid analysis. Conclusions: Wide-field one-photon redox imaging can monitor metabolic and morphological changes on a single organoid-level, providing an accessible, non-destructive tool to screen drugs in patient-matched samples.
format Online
Article
Text
id pubmed-7983069
institution National Center for Biotechnology Information
language English
publishDate 2021
publisher Society of Photo-Optical Instrumentation Engineers
record_format MEDLINE/PubMed
spelling pubmed-79830692021-03-23 Patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response Gil, Daniel A. Deming, Dustin Skala, Melissa C. J Biomed Opt Imaging Significance: Accessible tools are needed for rapid, non-destructive imaging of patient-derived cancer organoid (PCO) treatment response to accelerate drug discovery and streamline treatment planning for individual patients. Aim: To segment and track individual PCOs with wide-field one-photon redox imaging to extract morphological and metabolic variables of treatment response. Approach: Redox imaging of the endogenous fluorophores, nicotinamide dinucleotide (NADH), nicotinamide dinucleotide phosphate (NADPH), and flavin adenine dinucleotide (FAD), was used to monitor the metabolic state and morphology of PCOs. Redox imaging was performed on a wide-field one-photon epifluorescence microscope to evaluate drug response in two colorectal PCO lines. An automated image analysis framework was developed to track PCOs across multiple time points over 48 h. Variables quantified for each PCO captured metabolic and morphological response to drug treatment, including the optical redox ratio (ORR) and organoid area. Results: The ORR (NAD(P)H/(FAD + NAD(P)H)) was independent of PCO morphology pretreatment. Drugs that induced cell death decreased the ORR and growth rate compared to control. Multivariate analysis of redox and morphology variables identified distinct PCO subpopulations. Single-organoid tracking improved sensitivity to drug treatment compared to pooled organoid analysis. Conclusions: Wide-field one-photon redox imaging can monitor metabolic and morphological changes on a single organoid-level, providing an accessible, non-destructive tool to screen drugs in patient-matched samples. Society of Photo-Optical Instrumentation Engineers 2021-03-22 2021-03 /pmc/articles/PMC7983069/ /pubmed/33754540 http://dx.doi.org/10.1117/1.JBO.26.3.036005 Text en © 2021 The Authors https://creativecommons.org/licenses/by/4.0/ Published by SPIE under a Creative Commons Attribution 4.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.
spellingShingle Imaging
Gil, Daniel A.
Deming, Dustin
Skala, Melissa C.
Patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response
title Patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response
title_full Patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response
title_fullStr Patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response
title_full_unstemmed Patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response
title_short Patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response
title_sort patient-derived cancer organoid tracking with wide-field one-photon redox imaging to assess treatment response
topic Imaging
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7983069/
https://www.ncbi.nlm.nih.gov/pubmed/33754540
http://dx.doi.org/10.1117/1.JBO.26.3.036005
work_keys_str_mv AT gildaniela patientderivedcancerorganoidtrackingwithwidefieldonephotonredoximagingtoassesstreatmentresponse
AT demingdustin patientderivedcancerorganoidtrackingwithwidefieldonephotonredoximagingtoassesstreatmentresponse
AT skalamelissac patientderivedcancerorganoidtrackingwithwidefieldonephotonredoximagingtoassesstreatmentresponse