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Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS

As metabolic rewiring is crucial for cancer cell proliferation, metabolic phenotyping of patient-derived organoids is desirable to identify drug-induced changes and trace metabolic vulnerabilities of tumor subtypes. We established a novel protocol for metabolomic and lipidomic profiling of colorecta...

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Autores principales: Neef, Sylvia K., Janssen, Nicole, Winter, Stefan, Wallisch, Svenja K., Hofmann, Ute, Dahlke, Marc H., Schwab, Matthias, Mürdter, Thomas E., Haag, Mathias
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760698/
https://www.ncbi.nlm.nih.gov/pubmed/33271860
http://dx.doi.org/10.3390/metabo10120494
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author Neef, Sylvia K.
Janssen, Nicole
Winter, Stefan
Wallisch, Svenja K.
Hofmann, Ute
Dahlke, Marc H.
Schwab, Matthias
Mürdter, Thomas E.
Haag, Mathias
author_facet Neef, Sylvia K.
Janssen, Nicole
Winter, Stefan
Wallisch, Svenja K.
Hofmann, Ute
Dahlke, Marc H.
Schwab, Matthias
Mürdter, Thomas E.
Haag, Mathias
author_sort Neef, Sylvia K.
collection PubMed
description As metabolic rewiring is crucial for cancer cell proliferation, metabolic phenotyping of patient-derived organoids is desirable to identify drug-induced changes and trace metabolic vulnerabilities of tumor subtypes. We established a novel protocol for metabolomic and lipidomic profiling of colorectal cancer organoids by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) facing the challenge of capturing metabolic information from a minimal sample amount (<500 cells/injection) in the presence of an extracellular matrix (ECM). The best procedure of the tested protocols included ultrasonic metabolite extraction with acetonitrile/methanol/water (2:2:1, v/v/v) without ECM removal. To eliminate ECM-derived background signals, we implemented a data filtering procedure based on the p-value and fold change cut-offs, which retained features with signal intensities >120% compared to matrix-derived signals present in blank samples. As a proof-of-concept, the method was applied to examine the early metabolic response of colorectal cancer organoids to 5-fluorouracil treatment. Statistical analysis revealed dose-dependent changes in the metabolic profiles of treated organoids including elevated levels of 2′-deoxyuridine, 2′-O-methylcytidine, inosine and 1-methyladenosine and depletion of 2′-deoxyadenosine and specific phospholipids. In accordance with the mechanism of action of 5-fluorouracil, changed metabolites are mainly involved in purine and pyrimidine metabolism. The novel protocol provides a first basis for the assessment of metabolic drug response phenotypes in 3D organoid models.
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spelling pubmed-77606982020-12-26 Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS Neef, Sylvia K. Janssen, Nicole Winter, Stefan Wallisch, Svenja K. Hofmann, Ute Dahlke, Marc H. Schwab, Matthias Mürdter, Thomas E. Haag, Mathias Metabolites Article As metabolic rewiring is crucial for cancer cell proliferation, metabolic phenotyping of patient-derived organoids is desirable to identify drug-induced changes and trace metabolic vulnerabilities of tumor subtypes. We established a novel protocol for metabolomic and lipidomic profiling of colorectal cancer organoids by liquid chromatography quadrupole time-of-flight mass spectrometry (LC-QTOF-MS) facing the challenge of capturing metabolic information from a minimal sample amount (<500 cells/injection) in the presence of an extracellular matrix (ECM). The best procedure of the tested protocols included ultrasonic metabolite extraction with acetonitrile/methanol/water (2:2:1, v/v/v) without ECM removal. To eliminate ECM-derived background signals, we implemented a data filtering procedure based on the p-value and fold change cut-offs, which retained features with signal intensities >120% compared to matrix-derived signals present in blank samples. As a proof-of-concept, the method was applied to examine the early metabolic response of colorectal cancer organoids to 5-fluorouracil treatment. Statistical analysis revealed dose-dependent changes in the metabolic profiles of treated organoids including elevated levels of 2′-deoxyuridine, 2′-O-methylcytidine, inosine and 1-methyladenosine and depletion of 2′-deoxyadenosine and specific phospholipids. In accordance with the mechanism of action of 5-fluorouracil, changed metabolites are mainly involved in purine and pyrimidine metabolism. The novel protocol provides a first basis for the assessment of metabolic drug response phenotypes in 3D organoid models. MDPI 2020-12-01 /pmc/articles/PMC7760698/ /pubmed/33271860 http://dx.doi.org/10.3390/metabo10120494 Text en © 2020 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
Neef, Sylvia K.
Janssen, Nicole
Winter, Stefan
Wallisch, Svenja K.
Hofmann, Ute
Dahlke, Marc H.
Schwab, Matthias
Mürdter, Thomas E.
Haag, Mathias
Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS
title Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS
title_full Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS
title_fullStr Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS
title_full_unstemmed Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS
title_short Metabolic Drug Response Phenotyping in Colorectal Cancer Organoids by LC-QTOF-MS
title_sort metabolic drug response phenotyping in colorectal cancer organoids by lc-qtof-ms
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7760698/
https://www.ncbi.nlm.nih.gov/pubmed/33271860
http://dx.doi.org/10.3390/metabo10120494
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