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Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance
Extensive metabolic heterogeneity in breast cancers has limited the deployment of metabolic therapies. To enable patient stratification, we studied the metabolic landscape in breast cancers (∼3000 patients combined) and identified three subtypes with increasing degrees of metabolic deregulation. Sub...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Elsevier
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579441/ https://www.ncbi.nlm.nih.gov/pubmed/37854701 http://dx.doi.org/10.1016/j.isci.2023.108059 |
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author | Iqbal, Mohammad A. Siddiqui, Shumaila Smith, Kirk Singh, Prithvi Kumar, Bhupender Chouaib, Salem Chandrasekaran, Sriram |
author_facet | Iqbal, Mohammad A. Siddiqui, Shumaila Smith, Kirk Singh, Prithvi Kumar, Bhupender Chouaib, Salem Chandrasekaran, Sriram |
author_sort | Iqbal, Mohammad A. |
collection | PubMed |
description | Extensive metabolic heterogeneity in breast cancers has limited the deployment of metabolic therapies. To enable patient stratification, we studied the metabolic landscape in breast cancers (∼3000 patients combined) and identified three subtypes with increasing degrees of metabolic deregulation. Subtype M1 was found to be dependent on bile-acid biosynthesis, whereas M2 showed reliance on methionine pathway, and M3 engaged fatty-acid, nucleotide, and glucose metabolism. The extent of metabolic alterations correlated strongly with tumor aggressiveness and patient outcome. This pattern was reproducible in independent datasets and using in vivo tumor metabolite data. Using machine-learning, we identified robust and generalizable signatures of metabolic subtypes in tumors and cell lines. Experimental inhibition of metabolic pathways in cell lines representing metabolic subtypes revealed subtype-specific sensitivity, therapeutically relevant drugs, and promising combination therapies. Taken together, metabolic stratification of breast cancers can thus aid in predicting patient outcome and designing precision therapies. |
format | Online Article Text |
id | pubmed-10579441 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Elsevier |
record_format | MEDLINE/PubMed |
spelling | pubmed-105794412023-10-18 Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance Iqbal, Mohammad A. Siddiqui, Shumaila Smith, Kirk Singh, Prithvi Kumar, Bhupender Chouaib, Salem Chandrasekaran, Sriram iScience Article Extensive metabolic heterogeneity in breast cancers has limited the deployment of metabolic therapies. To enable patient stratification, we studied the metabolic landscape in breast cancers (∼3000 patients combined) and identified three subtypes with increasing degrees of metabolic deregulation. Subtype M1 was found to be dependent on bile-acid biosynthesis, whereas M2 showed reliance on methionine pathway, and M3 engaged fatty-acid, nucleotide, and glucose metabolism. The extent of metabolic alterations correlated strongly with tumor aggressiveness and patient outcome. This pattern was reproducible in independent datasets and using in vivo tumor metabolite data. Using machine-learning, we identified robust and generalizable signatures of metabolic subtypes in tumors and cell lines. Experimental inhibition of metabolic pathways in cell lines representing metabolic subtypes revealed subtype-specific sensitivity, therapeutically relevant drugs, and promising combination therapies. Taken together, metabolic stratification of breast cancers can thus aid in predicting patient outcome and designing precision therapies. Elsevier 2023-09-26 /pmc/articles/PMC10579441/ /pubmed/37854701 http://dx.doi.org/10.1016/j.isci.2023.108059 Text en © 2023 The Authors https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/). |
spellingShingle | Article Iqbal, Mohammad A. Siddiqui, Shumaila Smith, Kirk Singh, Prithvi Kumar, Bhupender Chouaib, Salem Chandrasekaran, Sriram Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance |
title | Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance |
title_full | Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance |
title_fullStr | Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance |
title_full_unstemmed | Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance |
title_short | Metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance |
title_sort | metabolic stratification of human breast tumors reveal subtypes of clinical and therapeutic relevance |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10579441/ https://www.ncbi.nlm.nih.gov/pubmed/37854701 http://dx.doi.org/10.1016/j.isci.2023.108059 |
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