Development and validation of the Normalized Organoid Growth Rate (NOGR) metric in brightfield imaging-based assays

This study focuses on refining growth-rate-based drug response metrics for patient-derived tumor organoid screening using brightfield live-cell imaging. Traditional metrics like Normalized Growth Rate Inhibition (GR) and Normalized Drug Response (NDR) have been used to assess organoid responses to anticancer treatments but face limitations in accurately quantifying cytostatic and cytotoxic effects across varying growth rates. Here, we introduce the Normalized Organoid Growth Rate (NOGR) metric, specifically developed for brightfield imaging-based assays. A label-free image analysis model was applied to segment organoids precisely, track their growth rates over time, and classify viable and dead organoids. Testing eleven phenotypically distinct pancreatic cancer organoid models with five chemotherapeutics demonstrates that the NOGR metric more effectively captures cytostatic and cytotoxic drug effects compared to existing methods. This approach enhances the biological relevance of drug sensitivity assessments on organoids and offers a valuable tool for advancing personalized cancer treatment strategies.

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Publication Details

Journal
Communications Biology
Published
2024-12-03
DOI
https://doi.org/10.1038/s42003-024-07329-5
Citations
16
Primary Topic
Cancer Cells and Metastasis
Type
article
Field-Weighted Citation Impact
4.52

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article

Development and validation of the Normalized Organoid Growth Rate (NOGR) metric in brightfield imaging-based assays

Edgar Cardenas De La Hoz, Nelson Dusetti, Maxim Le Compte, Filip Lardon et al.
16 citations
Communications Biology
Cancer Cells and Metastasis
4.52
article

Development and validation of the Normalized Organoid Growth Rate (NOGR) metric in brightfield imaging-based assays

Edgar Cardenas De La Hoz, Nelson Dusetti, Maxim Le Compte, Filip Lardon, Abraham Lin, Marc Peeters, Felicia Rodrigues Fortes, Bert Van Den Bogert, Hans Prenen, Geert Roeyen, Evelien Smits, H. Vercammen, Steve Vanlanduit, Christophe Deben, Sofie Seghers
article en
16 citations

Abstract

This study focuses on refining growth-rate-based drug response metrics for patient-derived tumor organoid screening using brightfield live-cell imaging. Traditional metrics like Normalized Growth Rate Inhibition (GR) and Normalized Drug Response (NDR) have been used to assess organoid responses to anticancer treatments but face limitations in accurately quantifying cytostatic and cytotoxic effects across varying growth rates. Here, we introduce the Normalized Organoid Growth Rate (NOGR) metric, specifically developed for brightfield imaging-based assays. A label-free image analysis model was applied to segment organoids precisely, track their growth rates over time, and classify viable and dead organoids. Testing eleven phenotypically distinct pancreatic cancer organoid models with five chemotherapeutics demonstrates that the NOGR metric more effectively captures cytostatic and cytotoxic drug effects compared to existing methods. This approach enhances the biological relevance of drug sensitivity assessments on organoids and offers a valuable tool for advancing personalized cancer treatment strategies.

Communications BiologyVol. 7(1)
Centre National de la Recherche Scientifique (FR), University of Antwerp (BE), Inserm (FR), Aix-Marseille Université (FR), Antwerp University Hospital (BE), Centre de Recherche en Cancérologie de Marseille (FR)
Fonds Wetenschappelijk Onderzoek, Universiteit Antwerpen, Vlaamse regering
Openalex Percentile: Top 4%
Cancer Cells and Metastasis
4.52
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