Literature DB >> 34237708

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

Yi Bai1, Wen Tong2, Fucun Xie3, Liuyang Zhu2, Hao Wu2, Rui Shi1, Lianjiang Wang1, Long Yang1, Zhisong Liu4, Fei Miao4, Qiang Zhao5, Yaming Zhang1.   

Abstract

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.

Entities:  

Keywords:  diagnostic biomarker; hepatocellular carcinoma; intrahepatic cholangiocarcinoma; methylation; primary liver cancer

Year:  2021        PMID: 34237708     DOI: 10.18632/aging.203249

Source DB:  PubMed          Journal:  Aging (Albany NY)        ISSN: 1945-4589            Impact factor:   5.682


  2 in total

1.  Detecting Early-Stage Oral Cancer from Clinically Diagnosed Oral Potentially Malignant Disorders by DNA Methylation Profile.

Authors:  Kazuki Mori; Tomofumi Hamada; Mahiro Beppu; Hiroki Tsuchihashi; Yuichi Goto; Kenichi Kume; Hiroshi Hijioka; Keitaro Nishi; Yumiko Mishima; Tsuyoshi Sugiura
Journal:  Cancers (Basel)       Date:  2022-05-26       Impact factor: 6.575

Review 2.  Liquid Biopsy Using Cell-Free or Circulating Tumor DNA in the Management of Hepatocellular Carcinoma.

Authors:  Xueying Lyu; Yu-Man Tsui; Daniel Wai-Hung Ho; Irene Oi-Lin Ng
Journal:  Cell Mol Gastroenterol Hepatol       Date:  2022-02-17
  2 in total

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