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Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival
The reprogramming of lipid metabolism is a hallmark of many cancers that has been shown to promote breast cancer progression. While several lipid signatures associated with breast cancer aggressiveness have been identified, a comprehensive lipidomic analysis specifically targeting the triple-negativ...
Autores principales: | , , , , , , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161031/ https://www.ncbi.nlm.nih.gov/pubmed/30011843 http://dx.doi.org/10.3390/metabo8030041 |
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author | Purwaha, Preeti Gu, Franklin Piyarathna, Danthasinghe Waduge Badrajee Rajendiran, Theckelnaycke Ravindran, Anindita Omilian, Angela R. Jiralerspong, Sao Das, Gokul Morrison, Carl Ambrosone, Christine Coarfa, Cristian Putluri, Nagireddy Sreekumar, Arun |
author_facet | Purwaha, Preeti Gu, Franklin Piyarathna, Danthasinghe Waduge Badrajee Rajendiran, Theckelnaycke Ravindran, Anindita Omilian, Angela R. Jiralerspong, Sao Das, Gokul Morrison, Carl Ambrosone, Christine Coarfa, Cristian Putluri, Nagireddy Sreekumar, Arun |
author_sort | Purwaha, Preeti |
collection | PubMed |
description | The reprogramming of lipid metabolism is a hallmark of many cancers that has been shown to promote breast cancer progression. While several lipid signatures associated with breast cancer aggressiveness have been identified, a comprehensive lipidomic analysis specifically targeting the triple-negative subtype of breast cancer (TNBC) may be required to identify novel biomarkers and therapeutic targets for this most aggressive subtype of breast cancer that still lacks effective therapies. In this current study, our global LC-MS-based lipidomics platform was able to measure 684 named lipids across 15 lipid classes in 70 TNBC tumors. Multivariate survival analysis found that higher levels of sphingomyelins were significantly associated with better disease-free survival in TNBC patients. Furthermore, analysis of publicly available gene expression datasets identified that decreased production of ceramides and increased accumulation of sphingoid base intermediates by metabolic enzymes were associated with better survival outcomes in TNBC patients. Our LC-MS lipidomics profiling of TNBC tumors has, for the first time, identified sphingomyelins as a potential prognostic marker and implicated enzymes involved in sphingolipid metabolism as candidate therapeutic targets that warrant further investigation. |
format | Online Article Text |
id | pubmed-6161031 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-61610312018-09-28 Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival Purwaha, Preeti Gu, Franklin Piyarathna, Danthasinghe Waduge Badrajee Rajendiran, Theckelnaycke Ravindran, Anindita Omilian, Angela R. Jiralerspong, Sao Das, Gokul Morrison, Carl Ambrosone, Christine Coarfa, Cristian Putluri, Nagireddy Sreekumar, Arun Metabolites Communication The reprogramming of lipid metabolism is a hallmark of many cancers that has been shown to promote breast cancer progression. While several lipid signatures associated with breast cancer aggressiveness have been identified, a comprehensive lipidomic analysis specifically targeting the triple-negative subtype of breast cancer (TNBC) may be required to identify novel biomarkers and therapeutic targets for this most aggressive subtype of breast cancer that still lacks effective therapies. In this current study, our global LC-MS-based lipidomics platform was able to measure 684 named lipids across 15 lipid classes in 70 TNBC tumors. Multivariate survival analysis found that higher levels of sphingomyelins were significantly associated with better disease-free survival in TNBC patients. Furthermore, analysis of publicly available gene expression datasets identified that decreased production of ceramides and increased accumulation of sphingoid base intermediates by metabolic enzymes were associated with better survival outcomes in TNBC patients. Our LC-MS lipidomics profiling of TNBC tumors has, for the first time, identified sphingomyelins as a potential prognostic marker and implicated enzymes involved in sphingolipid metabolism as candidate therapeutic targets that warrant further investigation. MDPI 2018-07-13 /pmc/articles/PMC6161031/ /pubmed/30011843 http://dx.doi.org/10.3390/metabo8030041 Text en © 2018 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 | Communication Purwaha, Preeti Gu, Franklin Piyarathna, Danthasinghe Waduge Badrajee Rajendiran, Theckelnaycke Ravindran, Anindita Omilian, Angela R. Jiralerspong, Sao Das, Gokul Morrison, Carl Ambrosone, Christine Coarfa, Cristian Putluri, Nagireddy Sreekumar, Arun Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival |
title | Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival |
title_full | Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival |
title_fullStr | Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival |
title_full_unstemmed | Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival |
title_short | Unbiased Lipidomic Profiling of Triple-Negative Breast Cancer Tissues Reveals the Association of Sphingomyelin Levels with Patient Disease-Free Survival |
title_sort | unbiased lipidomic profiling of triple-negative breast cancer tissues reveals the association of sphingomyelin levels with patient disease-free survival |
topic | Communication |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6161031/ https://www.ncbi.nlm.nih.gov/pubmed/30011843 http://dx.doi.org/10.3390/metabo8030041 |
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