2020
DOI: 10.3390/cancers12010241
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1H-NMR Based Serum Metabolomics Highlights Different Specific Biomarkers between Early and Advanced Hepatocellular Carcinoma Stages

Abstract: The application of non-targeted serum metabolomics profiling represents a noninvasive tool to identify new clinical biomarkers and to provide early diagnostic differentiation, and insight into the pathological mechanisms underlying hepatocellular carcinoma (HCC) progression. In this study, we used proton Nuclear Magnetic Resonance (1H-NMR) Spectroscopy and multivariate data analysis to profile the serum metabolome of 64 HCC patients, in early (n = 28) and advanced (n = 36) disease stages. We found that 1H-NMR … Show more

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Cited by 49 publications
(33 citation statements)
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“…Unfortunately, in a substantial percentage of human patients, acquired sorafenib resistance remains a major clinical obstacle, leading to treatment failure. Several mechanisms are implicated in the reduction of tumor cell sensitivity to sorafenib, including metabolic rewiring [17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Unfortunately, in a substantial percentage of human patients, acquired sorafenib resistance remains a major clinical obstacle, leading to treatment failure. Several mechanisms are implicated in the reduction of tumor cell sensitivity to sorafenib, including metabolic rewiring [17][18][19][20][21][22].…”
Section: Introductionmentioning
confidence: 99%
“…Two parameters, R 2 and Q 2 , describe the goodness of the statistical models. The former ( R 2 ) explains the total variations in the data, whereas the latter ( Q 2 , calculated via 10-fold cross-validation, CV) is an estimate of the predictive ability of the models ( Del Coco et al, 2019 ; Casadei-Gardini et al, 2020 ). To better visualize data, a heat map was performed on metabolites and samples, using Euclidean for distance measure and Ward for clustering algorithm.…”
Section: Methodsmentioning
confidence: 99%
“…In the last few years, metabolite quantification by Mass Spectrometry approaches has been used to obtain a global unbiased view of small molecules in different biological samples thus contributing to the understanding of the molecular characteristics of many diseases and therapeutic outcomes in different pathologies ( Vergara et al, 2019 ; Casadei-Gardini et al, 2020 ).…”
Section: Introductionmentioning
confidence: 99%
“…Integral values for metabolite quantitative analysis were referred to as the internal standard (TSP and TMS for aqueous and lipid extracts, respectively). Results, represented as mean intensities and standard error mean of the selected NMR signals, were validated by the univariate t-test [61][62][63] . Levels of statistical significance were at least at p-values < 0.05 with a 95% confidence level.…”
Section: Multivariate Data Analysismentioning
confidence: 99%