期刊
EJSO
卷 45, 期 12, 页码 2347-2352出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.ejso.2019.07.004
关键词
Metabolomics; Hepatocellular carcinoma; Liver transplantation; Fingerprint; Nomogram
资金
- National Science and Technology Major Project of China [2017ZX10203205]
- China Postdoctoral Science Foundation [2017M612014]
- Zhejiang Provincial Natural Science Foundation of China [LQ19H160030]
- Zhejiang Medical and Technological Program of China [2018263185]
Introduction: Tumor recurrence is a major cause of post-transplant mortality in liver transplantation for hepatocellular carcinoma (HCC). This study aimed to explore an effective noninvasive approach to accurately predict post-transplant tumor recurrence. Materials and methods: Metabolomics profiling was performed on pre-operative plasma from 122 HCC patients undergoing liver transplantation, 52 healthy controls (HC) and 25 liver cirrhosis (LC) patients. Results: Five prognostic metabolites were identified by univariate analysis (P< 0.01), including phosphatidylcholine (PC) (16;011 3 -18:1), PC(18:2/OH-16:0), PC(o-16:0120:4), nutriacholic acid and 2-oxo-4-methylthiobutanoic acid. In the HCC group, PC(o-16:0/20:4), nutriacholic acid and 2-oxo-4-methylthiobutanoic acid were decreased, while PC(18:2/OH-16:0) was elevated compared with the LC group (e < 0.05). PC(16:0/P-18:1) was associated with tumor size, vascular invasion, and neutrophillymphocyte ratio (NLR; P< 0.05). Moreover, PC(18:2/OH-16:0) was also related to tumor number and NLR (P < 0.05). Multivariate cox regression showed that PC(16:0/P-18:1), PC(18:2/OH-16:0), nutriacholic acid and alpha-fetoprotein (AFP) were independent risk factors for tumor recurrence (P < 0.01). A prognostic fingerprint was established as a nomogram, which divided the patients into low risk (n = 45), moderate risk (n = 48) and highrisk groups (n = 29) with discriminated prognosis (P< 0.001). In patients fulfilling the Hangzhou criteria, the fingerprint/nomogram could also successfully stratify the patients into two groups with different recurrence risk (P< 0.05). Conclusions: The established pre-operative plasma fingerprint/nomogram is efficient in the prediction of recurrence risk, which could facilitate candidate selection in liver transplantation for HCC. (C) 2019 Elsevier Ltd, BASO similar to The Association for Cancer Surgery, and the European Society of Surgical Oncology. All rights reserved.
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