Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling

Abstract Malignant melanoma, characterized by its ability to metastasize to other organs, is responsible for 90% of skin cancer mortality. To investigate alterations in the cellular metabolome and lipidome related to melanoma metastasis, gas chromatography-mass spectrometry (GC-MS) and direct infusi...

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Autores principales:	Hye-Youn Kim, Hwanhui Lee, So-Hyun Kim, Hanyong Jin, Jeehyeon Bae, Hyung-Kyoon Choi
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/ac4a74d356524865b132a6c5478b24d6
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spelling	oai:doaj.org-article:ac4a74d356524865b132a6c5478b24d62021-12-02T16:06:30ZDiscovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling10.1038/s41598-017-08433-92045-2322https://doaj.org/article/ac4a74d356524865b132a6c5478b24d62017-08-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-08433-9https://doaj.org/toc/2045-2322Abstract Malignant melanoma, characterized by its ability to metastasize to other organs, is responsible for 90% of skin cancer mortality. To investigate alterations in the cellular metabolome and lipidome related to melanoma metastasis, gas chromatography-mass spectrometry (GC-MS) and direct infusion-mass spectrometry (DI-MS)-based metabolic and lipidomic profiling were performed on extracts of normal human melanocyte (HEMn-LP), low metastatic melanoma (A375, G361), and highly metastatic melanoma (A2058, SK-MEL-28) cell lines. In this study, metabolomic analysis identified aminomalonic acid as a novel potential biomarker to discriminate between different stages of melanoma metastasis. Uptake and release of major metabolites as hallmarks of cancer were also measured between high and low metastatic melanoma cells. Lipid analysis showed a progressive increase in phosphatidylinositol (PI) species with saturated and monounsaturated fatty acyl chains, including 16:0/18:0, 16:0/18:1, 18:0/18:0, and 18:0/18:1, with increasing metastatic potential of melanoma cells, defining these lipids as possible biomarkers. In addition, a partial-least-squares projection to latent structure regression (PLSR) model for the prediction of metastatic properties of melanoma was established, and central metabolic and lipidomic pathways involved in the increased motility and metastatic potential of melanoma cells were identified as therapeutic targets. These results could be used to diagnose and control of melanoma metastasis.Hye-Youn KimHwanhui LeeSo-Hyun KimHanyong JinJeehyeon BaeHyung-Kyoon ChoiNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-14 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Hye-Youn Kim Hwanhui Lee So-Hyun Kim Hanyong Jin Jeehyeon Bae Hyung-Kyoon Choi Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling
description	Abstract Malignant melanoma, characterized by its ability to metastasize to other organs, is responsible for 90% of skin cancer mortality. To investigate alterations in the cellular metabolome and lipidome related to melanoma metastasis, gas chromatography-mass spectrometry (GC-MS) and direct infusion-mass spectrometry (DI-MS)-based metabolic and lipidomic profiling were performed on extracts of normal human melanocyte (HEMn-LP), low metastatic melanoma (A375, G361), and highly metastatic melanoma (A2058, SK-MEL-28) cell lines. In this study, metabolomic analysis identified aminomalonic acid as a novel potential biomarker to discriminate between different stages of melanoma metastasis. Uptake and release of major metabolites as hallmarks of cancer were also measured between high and low metastatic melanoma cells. Lipid analysis showed a progressive increase in phosphatidylinositol (PI) species with saturated and monounsaturated fatty acyl chains, including 16:0/18:0, 16:0/18:1, 18:0/18:0, and 18:0/18:1, with increasing metastatic potential of melanoma cells, defining these lipids as possible biomarkers. In addition, a partial-least-squares projection to latent structure regression (PLSR) model for the prediction of metastatic properties of melanoma was established, and central metabolic and lipidomic pathways involved in the increased motility and metastatic potential of melanoma cells were identified as therapeutic targets. These results could be used to diagnose and control of melanoma metastasis.
format	article
author	Hye-Youn Kim Hwanhui Lee So-Hyun Kim Hanyong Jin Jeehyeon Bae Hyung-Kyoon Choi
author_facet	Hye-Youn Kim Hwanhui Lee So-Hyun Kim Hanyong Jin Jeehyeon Bae Hyung-Kyoon Choi
author_sort	Hye-Youn Kim
title	Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling
title_short	Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling
title_full	Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling
title_fullStr	Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling
title_full_unstemmed	Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling
title_sort	discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/ac4a74d356524865b132a6c5478b24d6
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Discovery of potential biomarkers in human melanoma cells with different metastatic potential by metabolic and lipidomic profiling

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