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NMR-Based Lipid Metabolite Profiles to Predict Outcomes in Patients Undergoing Interventional Therapy for a Hepatocellular Carcinoma (HCC): A Substudy of the SORAMIC Trial

Overview
Journal Cancers (Basel)
Publisher MDPI
Specialty Oncology
Date 2021 Jul 2
PMID 34205110
Citations 2
Authors
Affiliations
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Abstract

Background: This exploratory study aimed to evaluate lipidomic and metabolomic profiles in patients with early and advanced HCCs and to investigate whether certain metabolic parameters may predict the overall survival in these patients.

Methods: A total of 60 patients from the prospective, randomized-controlled, multicenter phase II SORAMIC trial were included in this substudy; among them were 30 patients with an early HCC who underwent radiofrequency ablation combined with sorafenib or a placebo and 30 patients with an advanced HCC who were treated with a selective internal radiation therapy (SIRT) plus sorafenib vs. sorafenib alone. The blood serum of these patients was analyzed using a standardized nuclear magnetic resonance (NMR) platform. All tested metabolites were correlated with the overall survival.

Results: The overall survival (OS) was significantly higher in patients with an early HCC (median OS: 34.0 months) compared with patients with an advanced HCC (median OS: 12.0 months) ( < 0.0001). Patients with high serum concentrations of myo-inositol (MI) had a higher overall survival compared with patients with low concentrations (21.6 vs. 13.8 months) with a Pearson correlation coefficient of 0.331 ( = 0.011). Patients with high serum concentrations of dimethylamine had a higher overall survival compared with patients with low concentrations (25.1 vs. 19.7 months) with a Pearson correlation coefficient of 0.279 ( = 0.034). High concentrations of total cholesterol, LDL-cholesterol and LDL particles (LDL-P) were associated with a decreased overall survival.

Conclusions: NMR-based lipidomic and metabolomic profiling has the potential to identify individual metabolite biomarkers that predict the outcome of patients with an HCC exposed to non-invasive therapeutic management.

Citing Articles

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Metabolomics in hepatocellular carcinoma: From biomarker discovery to precision medicine.

Wu X, Wang Z, Luo L, Shu D, Wang K Front Med Technol. 2023; 4:1065506.

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References
1.
Schettler V, Muellendorff F, Schettler E, Platzer C, Norkauer S, Julius U . NMR-based lipoprotein analysis for patients with severe hypercholesterolemia undergoing lipoprotein apheresis or PCSK9-inhibitor therapy (NAPALI-Study). Ther Apher Dial. 2019; 23(5):467-473. DOI: 10.1111/1744-9987.12792. View

2.
Mora S, Buring J, Ridker P . Discordance of low-density lipoprotein (LDL) cholesterol with alternative LDL-related measures and future coronary events. Circulation. 2013; 129(5):553-61. PMC: 4501252. DOI: 10.1161/CIRCULATIONAHA.113.005873. View

3.
Trompet S, Jukema J, Katan M, Blauw G, Sattar N, Buckley B . Apolipoprotein e genotype, plasma cholesterol, and cancer: a Mendelian randomization study. Am J Epidemiol. 2009; 170(11):1415-21. DOI: 10.1093/aje/kwp294. View

4.
Alcazar-Roman A, Wente S . Inositol polyphosphates: a new frontier for regulating gene expression. Chromosoma. 2007; 117(1):1-13. DOI: 10.1007/s00412-007-0126-4. View

5.
Lam S, McWilliams A, LeRiche J, MacAulay C, Wattenberg L, Szabo E . A phase I study of myo-inositol for lung cancer chemoprevention. Cancer Epidemiol Biomarkers Prev. 2006; 15(8):1526-31. DOI: 10.1158/1055-9965.EPI-06-0128. View