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

Overview of attention for article published in Cancer Management and Research, April 2018
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Title
Deciphering hepatocellular carcinoma through metabolomics: from biomarker discovery to therapy evaluation
Published in
Cancer Management and Research, April 2018
DOI 10.2147/cmar.s156837
Pubmed ID
Authors

Wei Guo, Hor Yue Tan, Ning Wang, Xuanbin Wang, Yibin Feng

Abstract

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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Geographical breakdown

Country Count As %
Unknown 50 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 13 26%
Other 4 8%
Student > Master 4 8%
Student > Ph. D. Student 4 8%
Student > Bachelor 3 6%
Other 8 16%
Unknown 14 28%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 7 14%
Medicine and Dentistry 5 10%
Agricultural and Biological Sciences 4 8%
Pharmacology, Toxicology and Pharmaceutical Science 3 6%
Chemistry 3 6%
Other 8 16%
Unknown 20 40%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 15 April 2018.
All research outputs
#18,603,172
of 23,043,346 outputs
Outputs from Cancer Management and Research
#1,056
of 2,017 outputs
Outputs of similar age
#256,614
of 330,195 outputs
Outputs of similar age from Cancer Management and Research
#36
of 57 outputs
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We're also able to compare this research output to 57 others from the same source and published within six weeks on either side of this one. This one is in the 12th percentile – i.e., 12% of its contemporaries scored the same or lower than it.