Cargando…
Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma
Hepatocellular carcinoma (HCC) is a common malignancy that has region specific etiologies. Unfortunately, 85% of cases of HCC are diagnosed at an advanced stage. Reliable biomarkers for the early diagnosis of HCC are urgently required to reduced mortality and therapeutic expenditure. We established...
Autores principales: | , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group
2015
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4674760/ https://www.ncbi.nlm.nih.gov/pubmed/26658617 http://dx.doi.org/10.1038/srep18175 |
_version_ | 1782404945579868160 |
---|---|
author | Gao, Rong Cheng, Jianhua Fan, Chunlei Shi, Xiaofeng Cao, Yuan Sun, Bo Ding, Huiguo Hu, Chengjin Dong, Fangting Yan, Xianzhong |
author_facet | Gao, Rong Cheng, Jianhua Fan, Chunlei Shi, Xiaofeng Cao, Yuan Sun, Bo Ding, Huiguo Hu, Chengjin Dong, Fangting Yan, Xianzhong |
author_sort | Gao, Rong |
collection | PubMed |
description | Hepatocellular carcinoma (HCC) is a common malignancy that has region specific etiologies. Unfortunately, 85% of cases of HCC are diagnosed at an advanced stage. Reliable biomarkers for the early diagnosis of HCC are urgently required to reduced mortality and therapeutic expenditure. We established a non-targeted gas chromatography–time of flight–mass spectrometry (GC-TOFMS) metabolomics method in conjunction with Random Forests (RF) analysis based on 201 serum samples from healthy controls (NC), hepatitis B virus (HBV), liver cirrhosis (LC) and HCC patients to explore the metabolic characteristics in the progression of hepatocellular carcinogenesis. Ultimately, 15 metabolites were identified intimately associated with the process. Phenylalanine, malic acid and 5-methoxytryptamine for HBV vs. NC, palmitic acid for LC vs. HBV, and asparagine and β-glutamate for HCC vs. LC were screened as the liver disease-specific potential biomarkers with an excellent discriminant performance. All the metabolic perturbations in these liver diseases are associated with pathways for energy metabolism, macromolecular synthesis, and maintaining the redox balance to protect tumor cells from oxidative stress. |
format | Online Article Text |
id | pubmed-4674760 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2015 |
publisher | Nature Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-46747602015-12-16 Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma Gao, Rong Cheng, Jianhua Fan, Chunlei Shi, Xiaofeng Cao, Yuan Sun, Bo Ding, Huiguo Hu, Chengjin Dong, Fangting Yan, Xianzhong Sci Rep Article Hepatocellular carcinoma (HCC) is a common malignancy that has region specific etiologies. Unfortunately, 85% of cases of HCC are diagnosed at an advanced stage. Reliable biomarkers for the early diagnosis of HCC are urgently required to reduced mortality and therapeutic expenditure. We established a non-targeted gas chromatography–time of flight–mass spectrometry (GC-TOFMS) metabolomics method in conjunction with Random Forests (RF) analysis based on 201 serum samples from healthy controls (NC), hepatitis B virus (HBV), liver cirrhosis (LC) and HCC patients to explore the metabolic characteristics in the progression of hepatocellular carcinogenesis. Ultimately, 15 metabolites were identified intimately associated with the process. Phenylalanine, malic acid and 5-methoxytryptamine for HBV vs. NC, palmitic acid for LC vs. HBV, and asparagine and β-glutamate for HCC vs. LC were screened as the liver disease-specific potential biomarkers with an excellent discriminant performance. All the metabolic perturbations in these liver diseases are associated with pathways for energy metabolism, macromolecular synthesis, and maintaining the redox balance to protect tumor cells from oxidative stress. Nature Publishing Group 2015-12-10 /pmc/articles/PMC4674760/ /pubmed/26658617 http://dx.doi.org/10.1038/srep18175 Text en Copyright © 2015, Macmillan Publishers Limited http://creativecommons.org/licenses/by/4.0/ This work is licensed under a Creative Commons Attribution 4.0 International License. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/ |
spellingShingle | Article Gao, Rong Cheng, Jianhua Fan, Chunlei Shi, Xiaofeng Cao, Yuan Sun, Bo Ding, Huiguo Hu, Chengjin Dong, Fangting Yan, Xianzhong Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma |
title | Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma |
title_full | Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma |
title_fullStr | Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma |
title_full_unstemmed | Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma |
title_short | Serum Metabolomics to Identify the Liver Disease-Specific Biomarkers for the Progression of Hepatitis to Hepatocellular Carcinoma |
title_sort | serum metabolomics to identify the liver disease-specific biomarkers for the progression of hepatitis to hepatocellular carcinoma |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4674760/ https://www.ncbi.nlm.nih.gov/pubmed/26658617 http://dx.doi.org/10.1038/srep18175 |
work_keys_str_mv | AT gaorong serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT chengjianhua serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT fanchunlei serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT shixiaofeng serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT caoyuan serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT sunbo serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT dinghuiguo serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT huchengjin serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT dongfangting serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma AT yanxianzhong serummetabolomicstoidentifytheliverdiseasespecificbiomarkersfortheprogressionofhepatitistohepatocellularcarcinoma |