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Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation

Hepatocellular carcinoma (HCC) is the third most common cause of death from cancer, with increasing prevalence worldwide. The mortality rate of HCC is similar to its incidence rate, which reflects its poor prognosis. At present, the diagnosis of HCC is still mostly dependent on invasive biopsy, imag...

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Autores principales: Guo, Wei, Tan, Hor Yue, Wang, Ning, Wang, Xuanbin, Feng, Yibin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Dove Medical Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903488/
https://www.ncbi.nlm.nih.gov/pubmed/29692630
http://dx.doi.org/10.2147/CMAR.S156837
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author Guo, Wei
Tan, Hor Yue
Wang, Ning
Wang, Xuanbin
Feng, Yibin
author_facet Guo, Wei
Tan, Hor Yue
Wang, Ning
Wang, Xuanbin
Feng, Yibin
author_sort Guo, Wei
collection PubMed
description Hepatocellular carcinoma (HCC) is the third most common cause of death from cancer, with increasing prevalence worldwide. The mortality rate of HCC is similar to its incidence rate, which reflects its poor prognosis. At present, the diagnosis of HCC is still mostly dependent on invasive biopsy, imaging methods, and serum α-fetoprotein (AFP) testing. Because of the asymptomatic nature of early HCC, biopsy and imaging methods usually detect HCC at the middle–late stages. AFP has limited sensitivity and specificity, as many other nonmalignant liver diseases can also result in a very high serum level of AFP. Therefore, better biomarkers with higher sensitivity and specificity at earlier stages are greatly needed. Since metabolic reprogramming is an essential hallmark of cancer and the liver is the metabolic hub of living systems, it is useful to investigate HCC from a metabolic perspective. As a noninvasive and nondestructive approach, metabolomics provides holistic information on dynamically metabolic responses of living systems to both endogenous and exogenous factors. Therefore, it would be conducive to apply metabolomics in investigating HCC. In this review, we summarize recent metabolomic studies on HCC cellular, animal, and clinicopathologic models with attention to metabolomics as a biomarker in cancer diagnosis. Recent applications of metabolomics with respect to therapeutic and prognostic evaluation of HCC are also covered, with emphasis on the potential of treatment by drugs from natural products. In the last section, the current challenges and trends of future development of metabolomics on HCC are discussed. Overall, metabolomics provides us with novel insight into the diagnosis, prognosis, and therapeutic evaluation of HCC.
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spelling pubmed-59034882018-04-24 Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation Guo, Wei Tan, Hor Yue Wang, Ning Wang, Xuanbin Feng, Yibin Cancer Manag Res Review Hepatocellular carcinoma (HCC) is the third most common cause of death from cancer, with increasing prevalence worldwide. The mortality rate of HCC is similar to its incidence rate, which reflects its poor prognosis. At present, the diagnosis of HCC is still mostly dependent on invasive biopsy, imaging methods, and serum α-fetoprotein (AFP) testing. Because of the asymptomatic nature of early HCC, biopsy and imaging methods usually detect HCC at the middle–late stages. AFP has limited sensitivity and specificity, as many other nonmalignant liver diseases can also result in a very high serum level of AFP. Therefore, better biomarkers with higher sensitivity and specificity at earlier stages are greatly needed. Since metabolic reprogramming is an essential hallmark of cancer and the liver is the metabolic hub of living systems, it is useful to investigate HCC from a metabolic perspective. As a noninvasive and nondestructive approach, metabolomics provides holistic information on dynamically metabolic responses of living systems to both endogenous and exogenous factors. Therefore, it would be conducive to apply metabolomics in investigating HCC. In this review, we summarize recent metabolomic studies on HCC cellular, animal, and clinicopathologic models with attention to metabolomics as a biomarker in cancer diagnosis. Recent applications of metabolomics with respect to therapeutic and prognostic evaluation of HCC are also covered, with emphasis on the potential of treatment by drugs from natural products. In the last section, the current challenges and trends of future development of metabolomics on HCC are discussed. Overall, metabolomics provides us with novel insight into the diagnosis, prognosis, and therapeutic evaluation of HCC. Dove Medical Press 2018-04-11 /pmc/articles/PMC5903488/ /pubmed/29692630 http://dx.doi.org/10.2147/CMAR.S156837 Text en © 2018 Guo et al. This work is published and licensed by Dove Medical Press Limited The full terms of this license are available at https://www.dovepress.com/terms.php and incorporate the Creative Commons Attribution – Non Commercial (unported, v3.0) License (http://creativecommons.org/licenses/by-nc/3.0/). By accessing the work you hereby accept the Terms. Non-commercial uses of the work are permitted without any further permission from Dove Medical Press Limited, provided the work is properly attributed.
spellingShingle Review
Guo, Wei
Tan, Hor Yue
Wang, Ning
Wang, Xuanbin
Feng, Yibin
Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation
title Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation
title_full Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation
title_fullStr Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation
title_full_unstemmed Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation
title_short Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation
title_sort deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation
topic Review
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5903488/
https://www.ncbi.nlm.nih.gov/pubmed/29692630
http://dx.doi.org/10.2147/CMAR.S156837
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