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J Proteome Res. 2016 May 6;15(5):1446-54. doi: 10.1021/acs.jproteome.5b01032. Epub 2016 Apr 14.

Sequential Serum Metabolomic Profiling after Radiofrequency Ablation of Hepatocellular Carcinoma Reveals Different Response Patterns According to Etiology.

Author information

1
Université Paris 13 , Sorbonne Paris Cité, CSPBAT, UMR 7244, CNRS, Bobigny, France.
2
Groupe Hospitalier Paris Seine-Saint-Denis, Pôle d'Activités Cancérologiques Spécialisées, APHP, Hôpital Jean Verdier, Bondy et Université Paris 13, Sorbonne Paris Cité, UFR SMBH, Bobigny, France.
3
INSERM U1162, Génomique Fonctionnelle des Tumeurs Solides, Université Paris 5 , Paris, France.
4
Université d'Evry Val d'Essonne , UBIAE, INSERM U902, Evry, France.
5
Service d'Anesthésie-Réanimation, GHU PSSD, Hôpital Jean Verdier, Bondy et Université Paris 13, Sorbonne Paris Cité, UFR SMBH, Bobigny, France.
6
APHP, Service d'Anatomie Pathologique, Hôpital Jean Verdier, Bondy et Université Paris 13, Sorbonne Paris Cité, UFR SMBH, Bobigny, France.
7
BB-0033-00027, Centre de Ressources Biologiques Maladies du Foie, Groupe Hospitalier Paris-Seine-Saint-Denis, Bondy, France.
8
APHP, Service de Radiologie, Hôpital Jean Verdier, Bondy, France.
9
Service d'Information Médicale, GHU PSSD, Hôpital Jean Verdier, Bondy, France.

Abstract

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 R(2)Y = 0.89 and predictability of Q(2)Y = 0.34). These profiles were also associated with specific and distinct metabolic responses after RFA.

KEYWORDS:

NMR fingerprinting; OPLS; RFA; liver cancer; metabolomics

PMID:
27015127
DOI:
10.1021/acs.jproteome.5b01032
[Indexed for MEDLINE]

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