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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....
Autores principales: | , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
John Wiley and Sons Inc.
2022
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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. |
format | Online Article Text |
id | pubmed-9627673 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | John Wiley and Sons Inc. |
record_format | MEDLINE/PubMed |
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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