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Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS
INTRODUCTION: Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. An increasing number of studies have demonstrated that tumor proliferation and metastasis are closely related to complex metabolic reprogramming. However, there are limited data to provide a...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
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Springer US
2020
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674324/ https://www.ncbi.nlm.nih.gov/pubmed/33210231 http://dx.doi.org/10.1007/s11306-020-01745-4 |
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author | Lv, Dongming Zou, Yutong Zeng, Ziliang Yao, Hao Ding, Shirong Bian, Yiying Wen, Lili Xie, Xianbiao |
author_facet | Lv, Dongming Zou, Yutong Zeng, Ziliang Yao, Hao Ding, Shirong Bian, Yiying Wen, Lili Xie, Xianbiao |
author_sort | Lv, Dongming |
collection | PubMed |
description | INTRODUCTION: Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. An increasing number of studies have demonstrated that tumor proliferation and metastasis are closely related to complex metabolic reprogramming. However, there are limited data to provide a comprehensive metabolic picture of osteosarcoma. OBJECTIVES: Our study aims to identify aberrant metabolic pathways and seek potential adjuvant biomarkers for osteosarcoma. METHODS: Serum samples were collected from 65 osteosarcoma patients and 30 healthy controls. Nontargeted metabolomic profiling was performed by liquid chromatography-mass spectrometry (LC-MS) based on univariate and multivariate statistical analyses. RESULTS: The OPLS-DA model analysis identified clear separations among groups. We identified a set of differential metabolites such as higher serum levels of adenosine-5-monophosphate, inosine-5-monophosphate and guanosine monophosphate in primary OS patients compared to healthy controls, and higher serum levels of 5-aminopentanamide, 13(S)-HpOTrE (FA 18:3 + 2O) and methionine sulfoxide in lung metastatic OS patients compared to primary OS patients, revealing aberrant metabolic features during the proliferation and metastasis of osteosarcoma. We found a group of metabolites especially lactic acid and glutamic acid, with AUC values of 0.97 and 0.98, which could serve as potential adjuvant diagnostic biomarkers for primary osteosarcoma, and a panel of 2 metabolites, 5-aminopentanamide and 13(S)-HpOTrE (FA 18:3 + 2O), with an AUC value of 0.92, that had good monitoring ability for lung metastases. CONCLUSIONS: Our study provides new insight into the aberrant metabolic features of osteosarcoma. The potential biomarkers identified here may have translational significance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-020-01745-4) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-7674324 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2020 |
publisher | Springer US |
record_format | MEDLINE/PubMed |
spelling | pubmed-76743242020-11-30 Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS Lv, Dongming Zou, Yutong Zeng, Ziliang Yao, Hao Ding, Shirong Bian, Yiying Wen, Lili Xie, Xianbiao Metabolomics Original Article INTRODUCTION: Osteosarcoma (OS) is the most common primary malignant bone tumor in children and adolescents. An increasing number of studies have demonstrated that tumor proliferation and metastasis are closely related to complex metabolic reprogramming. However, there are limited data to provide a comprehensive metabolic picture of osteosarcoma. OBJECTIVES: Our study aims to identify aberrant metabolic pathways and seek potential adjuvant biomarkers for osteosarcoma. METHODS: Serum samples were collected from 65 osteosarcoma patients and 30 healthy controls. Nontargeted metabolomic profiling was performed by liquid chromatography-mass spectrometry (LC-MS) based on univariate and multivariate statistical analyses. RESULTS: The OPLS-DA model analysis identified clear separations among groups. We identified a set of differential metabolites such as higher serum levels of adenosine-5-monophosphate, inosine-5-monophosphate and guanosine monophosphate in primary OS patients compared to healthy controls, and higher serum levels of 5-aminopentanamide, 13(S)-HpOTrE (FA 18:3 + 2O) and methionine sulfoxide in lung metastatic OS patients compared to primary OS patients, revealing aberrant metabolic features during the proliferation and metastasis of osteosarcoma. We found a group of metabolites especially lactic acid and glutamic acid, with AUC values of 0.97 and 0.98, which could serve as potential adjuvant diagnostic biomarkers for primary osteosarcoma, and a panel of 2 metabolites, 5-aminopentanamide and 13(S)-HpOTrE (FA 18:3 + 2O), with an AUC value of 0.92, that had good monitoring ability for lung metastases. CONCLUSIONS: Our study provides new insight into the aberrant metabolic features of osteosarcoma. The potential biomarkers identified here may have translational significance. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11306-020-01745-4) contains supplementary material, which is available to authorized users. Springer US 2020-11-18 2020 /pmc/articles/PMC7674324/ /pubmed/33210231 http://dx.doi.org/10.1007/s11306-020-01745-4 Text en © The Author(s) 2020 Open AccessThis 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 licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence 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 licence, visit http://creativecommons.org/licenses/by/4.0/. |
spellingShingle | Original Article Lv, Dongming Zou, Yutong Zeng, Ziliang Yao, Hao Ding, Shirong Bian, Yiying Wen, Lili Xie, Xianbiao Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS |
title | Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS |
title_full | Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS |
title_fullStr | Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS |
title_full_unstemmed | Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS |
title_short | Comprehensive metabolomic profiling of osteosarcoma based on UHPLC-HRMS |
title_sort | comprehensive metabolomic profiling of osteosarcoma based on uhplc-hrms |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7674324/ https://www.ncbi.nlm.nih.gov/pubmed/33210231 http://dx.doi.org/10.1007/s11306-020-01745-4 |
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