Liquid Chromatography–Mass Spectrometry-Based Nontargeted Metabolomics Predicts Prognosis of Hepatocellular Carcinoma after Curative Resection

• DOI: 10.1021/acs.jproteome.0c00344
• Publication Date: 2020-07-03T09:49:28Z
• Authors: Qingqing Wang; Benzhe Su; Liwei Dong; Tianyi Jiang; Yexiong Tan; Xin Lu; Xinyu Liu; Xiaohui Lin; Guowang Xu
• Keywords: 0303 health sciences; 03 medical and health sciences; Carcinoma, Hepatocellular; Liver Neoplasms; Humans; Metabolomics; Prognosis; Mass Spectrometry; Chromatography, Liquid; 3. Good health

Assessment and prediction of prognostic risk in patients with hepatocellular carcinoma (HCC) would greatly benefit the optimal treatment selection. Here, we aimed to identify critical metabolites associated outcomes develop a score assess prognosis HCC after curative resection. A total 78 serum samples were analyzed by liquid chromatography–mass spectrometry characterize metabolic profiling. novel network-based feature selection method (NFSM) was developed define most discriminant capacity outcomes. The defined NFSM further reduced Cox regression analysis generate metabolite panel—phenylalanine choline. Furthermore, univariate multivariate analyses applied combine panel presence satellite nodes global index (GPI) for overall survival assessment. Compared current clinical classification systems, including Barcelona-clinic liver cancer stage, tumor–node–metastasis albumin–bilirubin grade, GPI presented comparable performance, according time-dependent receiver operating characteristic curves validated an independent cohort, which suggested that metabolomics could serve as helpful tool stratify operation.