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Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population

Triple negative breast cancer (TNBC) is a devastating cancer disease characterized by its poor prognosis, distinct metastatic patterns, and aggressive biological behavior. Research indicates that the prevalence and presentation of TNBC varies among races, with Asian TNBC patients more commonly prese...

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Autores principales: Li, Lixian, Zheng, Xiaodong, Zhou, Qi, Villanueva, Nathaniel, Nian, Weiqi, Liu, Xingming, Huan, Tao
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962155/
https://www.ncbi.nlm.nih.gov/pubmed/31941951
http://dx.doi.org/10.1038/s41598-019-57068-5
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author Li, Lixian
Zheng, Xiaodong
Zhou, Qi
Villanueva, Nathaniel
Nian, Weiqi
Liu, Xingming
Huan, Tao
author_facet Li, Lixian
Zheng, Xiaodong
Zhou, Qi
Villanueva, Nathaniel
Nian, Weiqi
Liu, Xingming
Huan, Tao
author_sort Li, Lixian
collection PubMed
description Triple negative breast cancer (TNBC) is a devastating cancer disease characterized by its poor prognosis, distinct metastatic patterns, and aggressive biological behavior. Research indicates that the prevalence and presentation of TNBC varies among races, with Asian TNBC patients more commonly presenting with large invasive tumors, high node positivity, and high histologic grade. In this work, we applied ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS)-based metabolomics to discover metabolic signatures in Asian female TNBC patients. Serum samples from 31 TNBC patients and 31 healthy controls (CN) were involved in this study. A total of 2860 metabolic features were detected in the serum samples. Among them, 77 metabolites, whose levels were significantly different between TNBC with CN, were confirmed. Using multivariate statistical analysis, literature mining, metabolic network and pathway analysis, we performed an in-depth study of the metabolic alterations in the Asian TNBC population. In addition, we discovered a panel of metabolic signatures that are highly correlated with the 5-year survival rate of the TNBC patients. This metabolomic study provides a better understanding of the metabolic details of TNBC in the Asian population.
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spelling pubmed-69621552020-01-23 Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population Li, Lixian Zheng, Xiaodong Zhou, Qi Villanueva, Nathaniel Nian, Weiqi Liu, Xingming Huan, Tao Sci Rep Article Triple negative breast cancer (TNBC) is a devastating cancer disease characterized by its poor prognosis, distinct metastatic patterns, and aggressive biological behavior. Research indicates that the prevalence and presentation of TNBC varies among races, with Asian TNBC patients more commonly presenting with large invasive tumors, high node positivity, and high histologic grade. In this work, we applied ultra-high performance liquid chromatography-high resolution mass spectrometry (UHPLC-HRMS)-based metabolomics to discover metabolic signatures in Asian female TNBC patients. Serum samples from 31 TNBC patients and 31 healthy controls (CN) were involved in this study. A total of 2860 metabolic features were detected in the serum samples. Among them, 77 metabolites, whose levels were significantly different between TNBC with CN, were confirmed. Using multivariate statistical analysis, literature mining, metabolic network and pathway analysis, we performed an in-depth study of the metabolic alterations in the Asian TNBC population. In addition, we discovered a panel of metabolic signatures that are highly correlated with the 5-year survival rate of the TNBC patients. This metabolomic study provides a better understanding of the metabolic details of TNBC in the Asian population. Nature Publishing Group UK 2020-01-15 /pmc/articles/PMC6962155/ /pubmed/31941951 http://dx.doi.org/10.1038/s41598-019-57068-5 Text en © The Author(s) 2020 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Li, Lixian
Zheng, Xiaodong
Zhou, Qi
Villanueva, Nathaniel
Nian, Weiqi
Liu, Xingming
Huan, Tao
Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population
title Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population
title_full Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population
title_fullStr Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population
title_full_unstemmed Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population
title_short Metabolomics-Based Discovery of Molecular Signatures for Triple Negative Breast Cancer in Asian Female Population
title_sort metabolomics-based discovery of molecular signatures for triple negative breast cancer in asian female population
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6962155/
https://www.ncbi.nlm.nih.gov/pubmed/31941951
http://dx.doi.org/10.1038/s41598-019-57068-5
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