%0 Journal Article
%A Goossens, Corentine
%A Nahon, Pierre
%A Le Moyec, Laurence
%A Triba, Mohamed Nawfal
%A Bouchemal, Nadia
%A Amathieu, Roland
%A Ganne-CarrieĢ, Nathalie
%A Ziol, Marianne
%A Trinchet, Jean-Claude
%A Sellier, Nicolas
%A Diallo, Abou
%A Seror, Olivier
%A Savarin, Philippe
%D 2016
%T Sequential Serum
Metabolomic Profiling after Radiofrequency
Ablation of Hepatocellular Carcinoma Reveals Different Response Patterns
According to Etiology
%U https://acs.figshare.com/articles/journal_contribution/Sequential_Serum_Metabolomic_Profiling_after_Radiofrequency_Ablation_of_Hepatocellular_Carcinoma_Reveals_Different_Response_Patterns_According_to_Etiology/3178597
%R 10.1021/acs.jproteome.5b01032.s001
%2 https://ndownloader.figshare.com/files/4948729
%K serum samples
%K 120 patients
%K nonviral etiology
%K HCC patients
%K identification
%K Radiofrequency Ablation
%K R 2 Y
%K cirrhosis
%K treatment response
%K Sequential sera
%K liver disease
%K resonance metabolomics
%K hepatocellular carcinoma
%K structure analysis
%K RFA treatment
%K Hepatocellular Carcinoma
%K Etiology Radiofrequency ablation
%K Q 2 Y
%K RFA intervention
%K Different Response Patterns
%K Sequential Serum Metabolomic Profiling
%K profile
%K orthogonal projection
%K tumor recurrence
%K RFA procedures
%K disease fingerprints
%X Radiofrequency ablation (RFA) is
commonly performed as a curative
approach in patients with hepatocellular carcinoma (HCC); however,
the risk of tumor recurrence is difficult to predict due to a lack
of reliable clinical and biological markers, and identification of
new biomarkers poses a major challenge for improving prognoses. Metabolomics
is a promising technique that may lead to the identification and characterization
of new disease fingerprints. The objective of the present study was
to explore, preoperatively and at various time points post-RFA, the
metabolic profile of serum samples from HCC patients to identify factors
associated with treatment response and recurrence. Sequential sera
obtained before and after RFA procedures for 120 patients with HCC
due to cirrhosis were investigated using nuclear magnetic resonance
metabolomics. A multilevel orthogonal projection to latent structure
analysis was used to discriminate intraindividual metabolic changes
in response to RFA treatment. Recurrence-free survival differed depending
on the underlying cause of cirrhosis. The statistical model showed
significant differences depending on whether the liver disease had
a viral or nonviral etiology before RFA intervention (explained variance
of R2Y = 0.89 and predictability
of Q2Y = 0.34). These
profiles were also associated with specific and distinct metabolic
responses after RFA.
%I ACS Publications