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Hypomethylation of CTCFL promoters as a noninvasive biomarker in plasma from patients with hepatocellular carcinoma
Author(s) -
Ming-hung Chen,
R. C. Zhao,
Ke Chen,
Yuan Huang,
Zhihan Liu,
Y. G. Wei,
Yue-yong Jian,
Aimin Sun,
LuChang Qin,
B. Li,
Yang Qin
Publication year - 2020
Publication title -
neoplasma
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.628
H-Index - 50
eISSN - 1338-4317
pISSN - 0028-2685
DOI - 10.4149/neo_2020_190819n789
Subject(s) - hepatocellular carcinoma , promoter , biomarker , dna methylation , methylation , medicine , epigenetics , oncology , cirrhosis , cancer research , liver cancer , cancer , biology , dna , gene , gene expression , genetics
Hepatocellular carcinoma (HCC) is the third deadliest cancer in the world with high morbidity and poor prognosis. CTCFL (CCCTC-binding factor like) is a member of the cancer testis antigen (CTA) family with oncogenic properties. To demonstrate whether the hypomethylation of CTCFL promoters in plasma could be used as a noninvasive biomarker to predict poor prognosis of HCC, we extracted cell-free DNA from the plasma and detected the methylation status of CTCFL in 43 HCC, 5 liver cirrhosis and 6 benign lesion samples using methylation specific PCR (MSP). Our study indicated that the hypomethylation of CTCFL promoters in HCC plasma samples (60.4%) was significantly different from that in benign lesion plasma samples (16.7%) with a p-value of 0.043. Analysis of clinicopathological data showed that the methylation status of CTCFL promoters was significantly correlated with microvascular involvement (MVI) (p=0.001) and postoperative recurrence (p=0.031). Furthermore, clinical prognosis data of 347 HCC patients from The Cancer Genome Atlas (TCGA) database displayed that the hypomethylated group had worse overall survival than the hypermethylated group (p=0.0056). In conclusion, we provide evidence that the hypomethylation of CTCFL promoters in cell-free DNA is a biomarker for monitoring HCC patients, which can be used as a noninvasive prediction index for tumor recurrence and provide the individualized decision-making for clinicians.

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