{"title":"使用非靶向代谢组学比较转移性和原发性黑色素瘤细胞系的代谢物谱:一个案例研究","authors":"Zhihao Yu , Ming Huang , Brian H. Clowers","doi":"10.1016/j.clinms.2018.08.001","DOIUrl":null,"url":null,"abstract":"<div><p>Melanoma accounts for more than 60% of deaths associated with skin cancer, making its early detection through dermatological screening essential for improved treatment outcomes. Early detection and successful treatment of melanoma can dramatically increase the 5-year survival rate from 14 to 98%. To support such efforts, comprehensive identification of metabolite patterns capable of describing cancer progression will help support the foundational knowledge necessary to build early detection platforms for intervention prior to metastasis. Using an UPLC-MS, as part of a cell-based, untargeted metabolomics approach, we profiled the metabolomes of WM-226-4 and WM-115 cells. Derived from the metastatic and the primary sites of the same individual, these two cell lines represent a paired melanoma cancer cell line. Progenesis and MetaboAnalyst, platforms dedicated to metabolomics data analysis, were used to establish a panel of differentially expressed metabolites across these two stages of melanoma. In addition, <em>mummichog</em> was used to identify the affected pathways. A total of 12 differentially expressed metabolites including amino acids, carnitine, acylcarnitine, and a limited set of lipids were identified. The significantly differing metabolites are components of a diverse set of metabolic pathways (e.g., glycerophospholipid metabolism, carnitine shuttle, tryptophan metabolism), that have biological implications for the survival and dissemination of metastatic melanoma cells.</p></div>","PeriodicalId":48565,"journal":{"name":"Clinical Mass Spectrometry","volume":null,"pages":null},"PeriodicalIF":2.1000,"publicationDate":"2018-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.1016/j.clinms.2018.08.001","citationCount":"4","resultStr":"{\"title\":\"Comparative metabolite profiling of a metastatic and primary melanoma cell line using untargeted metabolomics: A case study\",\"authors\":\"Zhihao Yu , Ming Huang , Brian H. Clowers\",\"doi\":\"10.1016/j.clinms.2018.08.001\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<div><p>Melanoma accounts for more than 60% of deaths associated with skin cancer, making its early detection through dermatological screening essential for improved treatment outcomes. Early detection and successful treatment of melanoma can dramatically increase the 5-year survival rate from 14 to 98%. To support such efforts, comprehensive identification of metabolite patterns capable of describing cancer progression will help support the foundational knowledge necessary to build early detection platforms for intervention prior to metastasis. Using an UPLC-MS, as part of a cell-based, untargeted metabolomics approach, we profiled the metabolomes of WM-226-4 and WM-115 cells. Derived from the metastatic and the primary sites of the same individual, these two cell lines represent a paired melanoma cancer cell line. Progenesis and MetaboAnalyst, platforms dedicated to metabolomics data analysis, were used to establish a panel of differentially expressed metabolites across these two stages of melanoma. In addition, <em>mummichog</em> was used to identify the affected pathways. A total of 12 differentially expressed metabolites including amino acids, carnitine, acylcarnitine, and a limited set of lipids were identified. The significantly differing metabolites are components of a diverse set of metabolic pathways (e.g., glycerophospholipid metabolism, carnitine shuttle, tryptophan metabolism), that have biological implications for the survival and dissemination of metastatic melanoma cells.</p></div>\",\"PeriodicalId\":48565,\"journal\":{\"name\":\"Clinical Mass Spectrometry\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":2.1000,\"publicationDate\":\"2018-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.1016/j.clinms.2018.08.001\",\"citationCount\":\"4\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Clinical Mass Spectrometry\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://www.sciencedirect.com/science/article/pii/S2376999817300557\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"Chemistry\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Clinical Mass Spectrometry","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2376999817300557","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"Chemistry","Score":null,"Total":0}
Comparative metabolite profiling of a metastatic and primary melanoma cell line using untargeted metabolomics: A case study
Melanoma accounts for more than 60% of deaths associated with skin cancer, making its early detection through dermatological screening essential for improved treatment outcomes. Early detection and successful treatment of melanoma can dramatically increase the 5-year survival rate from 14 to 98%. To support such efforts, comprehensive identification of metabolite patterns capable of describing cancer progression will help support the foundational knowledge necessary to build early detection platforms for intervention prior to metastasis. Using an UPLC-MS, as part of a cell-based, untargeted metabolomics approach, we profiled the metabolomes of WM-226-4 and WM-115 cells. Derived from the metastatic and the primary sites of the same individual, these two cell lines represent a paired melanoma cancer cell line. Progenesis and MetaboAnalyst, platforms dedicated to metabolomics data analysis, were used to establish a panel of differentially expressed metabolites across these two stages of melanoma. In addition, mummichog was used to identify the affected pathways. A total of 12 differentially expressed metabolites including amino acids, carnitine, acylcarnitine, and a limited set of lipids were identified. The significantly differing metabolites are components of a diverse set of metabolic pathways (e.g., glycerophospholipid metabolism, carnitine shuttle, tryptophan metabolism), that have biological implications for the survival and dissemination of metastatic melanoma cells.
期刊介绍:
Clinical Mass Spectrometry publishes peer-reviewed articles addressing the application of mass spectrometric technologies in Laboratory Medicine and Clinical Pathology with the focus on diagnostic applications. It is the first journal dedicated specifically to the application of mass spectrometry and related techniques in the context of diagnostic procedures in medicine. The journal has an interdisciplinary approach aiming to link clinical, biochemical and technological issues and results.