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LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients
Perturbations in lipid metabolic pathways to meet the bioenergetic and biosynthetic requirements is a principal characteristic of cancer cells. Sphingolipids (SPLs) are the largest class of bioactive lipids associated to various aspects of tumorigenesis and have been extensively studied in cancer ce...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070000/ https://www.ncbi.nlm.nih.gov/pubmed/32170160 http://dx.doi.org/10.1038/s41598-020-61283-w |
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author | Bhadwal, Priyanka Dahiya, Divya Shinde, Dhananjay Vaiphei, Kim Math, Raviswamy G. H. Randhawa, Vinay Agnihotri, Navneet |
author_facet | Bhadwal, Priyanka Dahiya, Divya Shinde, Dhananjay Vaiphei, Kim Math, Raviswamy G. H. Randhawa, Vinay Agnihotri, Navneet |
author_sort | Bhadwal, Priyanka |
collection | PubMed |
description | Perturbations in lipid metabolic pathways to meet the bioenergetic and biosynthetic requirements is a principal characteristic of cancer cells. Sphingolipids (SPLs) are the largest class of bioactive lipids associated to various aspects of tumorigenesis and have been extensively studied in cancer cell lines and experimental models. The clinical relevance of SPLs in human malignancies however is still poorly understood and needs further investigation. In the present study, we adopted a UHPLC-High resolution (orbitrap) Mass spectrometry (HRMS) approach to identify various sphingolipid species in breast cancer patients. A total of 49 SPLs falling into 6 subcategories have been identified. Further, integrating the multivariate analysis with metabolomics enabled us to identify an elevation in the levels of ceramide phosphates and sphingosine phosphates in tumor tissues as compared to adjacent normal tissues. The expression of genes involved in the synthesis of reported metabolites was also determined in local as well as TCGA cohort. A significant upregulation in the expression of CERK and SPHK1 was observed in tumor tissues in local and TCGA cohort. Sphingomyelin levels were found to be high in adjacent normal tissues. Consistent with the above findings, expression of SGMS1 in tumor tissues was downregulated in TCGA cohort only. Clinical correlations of the selected metabolites and their performance as biomarkers was also evaluated. Significant ROC and positive correlation with Ki67 index highlight the diagnostic potential and clinical relevance of ceramide phosphates in breast cancer. |
format | Online Article Text |
id | pubmed-7070000 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-70700002020-03-22 LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients Bhadwal, Priyanka Dahiya, Divya Shinde, Dhananjay Vaiphei, Kim Math, Raviswamy G. H. Randhawa, Vinay Agnihotri, Navneet Sci Rep Article Perturbations in lipid metabolic pathways to meet the bioenergetic and biosynthetic requirements is a principal characteristic of cancer cells. Sphingolipids (SPLs) are the largest class of bioactive lipids associated to various aspects of tumorigenesis and have been extensively studied in cancer cell lines and experimental models. The clinical relevance of SPLs in human malignancies however is still poorly understood and needs further investigation. In the present study, we adopted a UHPLC-High resolution (orbitrap) Mass spectrometry (HRMS) approach to identify various sphingolipid species in breast cancer patients. A total of 49 SPLs falling into 6 subcategories have been identified. Further, integrating the multivariate analysis with metabolomics enabled us to identify an elevation in the levels of ceramide phosphates and sphingosine phosphates in tumor tissues as compared to adjacent normal tissues. The expression of genes involved in the synthesis of reported metabolites was also determined in local as well as TCGA cohort. A significant upregulation in the expression of CERK and SPHK1 was observed in tumor tissues in local and TCGA cohort. Sphingomyelin levels were found to be high in adjacent normal tissues. Consistent with the above findings, expression of SGMS1 in tumor tissues was downregulated in TCGA cohort only. Clinical correlations of the selected metabolites and their performance as biomarkers was also evaluated. Significant ROC and positive correlation with Ki67 index highlight the diagnostic potential and clinical relevance of ceramide phosphates in breast cancer. Nature Publishing Group UK 2020-03-13 /pmc/articles/PMC7070000/ /pubmed/32170160 http://dx.doi.org/10.1038/s41598-020-61283-w 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 Bhadwal, Priyanka Dahiya, Divya Shinde, Dhananjay Vaiphei, Kim Math, Raviswamy G. H. Randhawa, Vinay Agnihotri, Navneet LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients |
title | LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients |
title_full | LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients |
title_fullStr | LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients |
title_full_unstemmed | LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients |
title_short | LC-HRMS based approach to identify novel sphingolipid biomarkers in breast cancer patients |
title_sort | lc-hrms based approach to identify novel sphingolipid biomarkers in breast cancer patients |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7070000/ https://www.ncbi.nlm.nih.gov/pubmed/32170160 http://dx.doi.org/10.1038/s41598-020-61283-w |
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