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A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs

Cancer cells reprogram their metabolism to support growth and invasion. While previous work has highlighted how single altered reactions and pathways can drive tumorigenesis, it remains unclear how individual changes propagate at the network level and eventually determine global metabolic activity....

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Autores principales: Cherkaoui, Sarah, Durot, Stephan, Bradley, Jenna, Critchlow, Susan, Dubuis, Sebastien, Masiero, Mauro Miguel, Wegmann, Rebekka, Snijder, Berend, Othman, Alaa, Bendtsen, Claus, Zamboni, Nicola
Formato: Online Artículo Texto
Lenguaje:English
Publicado: John Wiley and Sons Inc. 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627673/
https://www.ncbi.nlm.nih.gov/pubmed/36321552
http://dx.doi.org/10.15252/msb.202211033
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author Cherkaoui, Sarah
Durot, Stephan
Bradley, Jenna
Critchlow, Susan
Dubuis, Sebastien
Masiero, Mauro Miguel
Wegmann, Rebekka
Snijder, Berend
Othman, Alaa
Bendtsen, Claus
Zamboni, Nicola
author_facet Cherkaoui, Sarah
Durot, Stephan
Bradley, Jenna
Critchlow, Susan
Dubuis, Sebastien
Masiero, Mauro Miguel
Wegmann, Rebekka
Snijder, Berend
Othman, Alaa
Bendtsen, Claus
Zamboni, Nicola
author_sort Cherkaoui, Sarah
collection PubMed
description Cancer cells reprogram their metabolism to support growth and invasion. While previous work has highlighted how single altered reactions and pathways can drive tumorigenesis, it remains unclear how individual changes propagate at the network level and eventually determine global metabolic activity. To characterize the metabolic lifestyle of cancer cells across pathways and genotypes, we profiled the intracellular metabolome of 180 pan‐cancer cell lines grown in identical conditions. For each cell line, we estimated activity for 49 pathways spanning the entirety of the metabolic network. Upon clustering, we discovered a convergence into only two major metabolic types. These were functionally confirmed by (13)C‐flux analysis, lipidomics, and analysis of sensitivity to perturbations. They revealed that the major differences in cancers are associated with lipid, TCA cycle, and carbohydrate metabolism. Thorough integration of these types with multiomics highlighted little association with genetic alterations but a strong association with markers of epithelial–mesenchymal transition. Our analysis indicates that in absence of variations imposed by the microenvironment, cancer cells adopt distinct metabolic programs which serve as vulnerabilities for therapy.
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spelling pubmed-96276732022-11-14 A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs Cherkaoui, Sarah Durot, Stephan Bradley, Jenna Critchlow, Susan Dubuis, Sebastien Masiero, Mauro Miguel Wegmann, Rebekka Snijder, Berend Othman, Alaa Bendtsen, Claus Zamboni, Nicola Mol Syst Biol Articles Cancer cells reprogram their metabolism to support growth and invasion. While previous work has highlighted how single altered reactions and pathways can drive tumorigenesis, it remains unclear how individual changes propagate at the network level and eventually determine global metabolic activity. To characterize the metabolic lifestyle of cancer cells across pathways and genotypes, we profiled the intracellular metabolome of 180 pan‐cancer cell lines grown in identical conditions. For each cell line, we estimated activity for 49 pathways spanning the entirety of the metabolic network. Upon clustering, we discovered a convergence into only two major metabolic types. These were functionally confirmed by (13)C‐flux analysis, lipidomics, and analysis of sensitivity to perturbations. They revealed that the major differences in cancers are associated with lipid, TCA cycle, and carbohydrate metabolism. Thorough integration of these types with multiomics highlighted little association with genetic alterations but a strong association with markers of epithelial–mesenchymal transition. Our analysis indicates that in absence of variations imposed by the microenvironment, cancer cells adopt distinct metabolic programs which serve as vulnerabilities for therapy. John Wiley and Sons Inc. 2022-11-02 /pmc/articles/PMC9627673/ /pubmed/36321552 http://dx.doi.org/10.15252/msb.202211033 Text en © 2022 The Authors. Published under the terms of the CC BY 4.0 license https://creativecommons.org/licenses/by/4.0/This is an open access article under the terms of the http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.
spellingShingle Articles
Cherkaoui, Sarah
Durot, Stephan
Bradley, Jenna
Critchlow, Susan
Dubuis, Sebastien
Masiero, Mauro Miguel
Wegmann, Rebekka
Snijder, Berend
Othman, Alaa
Bendtsen, Claus
Zamboni, Nicola
A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs
title A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs
title_full A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs
title_fullStr A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs
title_full_unstemmed A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs
title_short A functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs
title_sort functional analysis of 180 cancer cell lines reveals conserved intrinsic metabolic programs
topic Articles
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9627673/
https://www.ncbi.nlm.nih.gov/pubmed/36321552
http://dx.doi.org/10.15252/msb.202211033
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