DNA methylation biomarkers for diagnosis of primary liver cancer and distinguishing hepatocellular carcinoma from intrahepatic cholangiocarcinoma

被引:0
作者
Bai, Yi [1 ]
Tong, Wen [2 ]
Xie, Fucun [3 ]
Zhu, Liuyang [2 ]
Wu, Hao [2 ]
Shi, Rui [1 ]
Wang, Lianjiang [1 ]
Yang, Long [1 ]
Liu, Zhisong [4 ]
Miao, Fei [4 ]
Zhao, Qiang [5 ,6 ]
Zhang, Yaming [1 ]
机构
[1] Nankai Univ, Tianjin Cent Hosp 1, Sch Med, Dept Hepatobiliary Surg, Tianjin, Peoples R China
[2] Tianjin Med Univ, Tianjin Cent Hosp 1, Clin Inst, Tianjin, Peoples R China
[3] Chinese Acad Med Sci & Peking Union Med Coll CAMS, Peking Union Med Coll Hosp, Dept Liver Surg, Beijing, Peoples R China
[4] Tianjin Univ Finance & Econ, Dept Stat, Pearl River Coll, Tianjin, Peoples R China
[5] Nankai Univ, State Key Lab Med Chem Biol, Key Lab Bioact Mat, Minist Educ, Tianjin, Peoples R China
[6] Nankai Univ, Coll Life Sci, Tianjin, Peoples R China
来源
AGING-US | 2021年 / 13卷 / 13期
关键词
methylation; primary liver cancer; hepatocellular carcinoma; intrahepatic cholangiocarcinoma; diagnostic biomarker; GENE-EXPRESSION; GENOME; GUIDELINES; SIGNATURES; INFECTION; PROGNOSIS; MARKERS; PACKAGE;
D O I
暂无
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Hepatocellular carcinoma (HCC) and intrahepatic cholangiocarcinoma (ICC) are the two most common pathology subtypes of primary liver cancer (PLC). Identifying DNA methylation biomarkers for diagnosis of PLC and further distinguishing HCC from ICC plays a vital role in subsequent treatment options selection. To obtain potential diagnostic DNA methylation sites for PLC, differentially methylated CpG (DMC) sites were first screened by comparing the methylation data between normal liver samples and PLC samples (ICC samples and HCC samples). A random forest algorithm was then used to select specific DMC sites with top Gini value. To avoid overfitting, another cohort was taken as an external validation for evaluating the area under curves (AUCs) of different DMC sites combination. A similar model construction strategy was applied to distinguish HCC from ICC. In addition, we identified DNA Methylation-Driven Genes in HCC and ICC via MethylMix method and performed pathway analysis by utilizing MetaCore. Finally, we not only performed methylator phenotype based on independent prognostic sites but also analyzed the correlations between methylator phenotype and clinical factors in HCC and ICC, respectively. To diagnose PLC, we developed a model based on three PLC-specific methylation sites (cg24035245, cg21072795, and cg00261162), whose sensitivity and specificity achieved 98.8%,94.8% in training set and 97.3%,81% in validation set. Then, to further divide the PLC samples into HCC and ICC, we established another mode through three methylation sites (cg17769836, cg17591574, and cg07823562), HCC accuracy and ICC accuracy achieved 95.8%, 89.8% in the training set and 96.8%,85.4% in the validation set. In HCC, the enrichment pathways were mainly related to protein folding, oxidative stress, and glutathione metabolism. While in ICC, immune response, embryonic hepatocyte maturation were the top pathways. Both in HCC and ICC, methylator phenotype correlated well with overall survival time and clinical factors involved in tumor progression. In summary, our study provides the biomarkers based on methylation sites not only for the diagnosis of PLC but also for distinguishing HCC from ICC.
引用
收藏
页码:17592 / 17606
页数:15
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