Literature DB >> 25923138

Analysis of DNA methylation in plasma for monitoring hepatocarcinogenesis.

Wenqing Huang1, Tong Li2, Wenli Yang1, Xinjuan Chai1, Kefei Chen3, Ling Wei1, Shuwang Duan1, Bo Li3, Yang Qin1.   

Abstract

AIM: To explore whether the aberrant DNA methylation status in plasma could be used as a biomarker for hepatocellular carcinoma (HCC) screening among high-risk individuals.
METHODS: The promoter methylation status of ELF, RASSF1A, p16, and GSTP1 was investigated by methylation-specific polymerase chain reaction (PCR) in 34 paired HCC and nontumor liver tissue from HCC patients and 10 tissues from patients with liver cirrhosis (LC). Plasma samples from 31 HCC patients, 10 LC patients as well as 7 patients with benign hepatic conditions were also collected and characterized using the same method.
RESULTS: Among liver specimens, HCC tissues displayed a significantly higher methylation frequency of each gene compared with nontumor tissue (p<0.05). Moreover, the frequency was much higher in tumor tissues than in nontumor tissue, when the data from two or three genes were combined (p=0.001 and p<0.001, respectively). Among plasma samples, either the frequency of at least one methylated gene (p<0.001) or the average number of methylated genes (p<0.05) demonstrated a stepwise increase in patients with benign lesions, LC, and HCC. Furthermore, when positive results, that is, plasma methylation status of at least one gene were combined with the elevated AFP400 level (serum alpha-fetoprotein [AFP] level at a cutoff of 400 ng/mL), the diagnostic sensitivity of HCC could increase to 93.55%.
CONCLUSIONS: These results suggested that the methylation of tumor suppressor genes may participate in the development and progression of HCC. Additionally, it may be useful to combine the plasma DNA methylation status of a panel of gene markers and the serum AFP for HCC screening.

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Year:  2015        PMID: 25923138      PMCID: PMC4487245          DOI: 10.1089/gtmb.2014.0292

Source DB:  PubMed          Journal:  Genet Test Mol Biomarkers        ISSN: 1945-0257


  42 in total

1.  Prognosis evaluation in alpha-fetoprotein negative hepatocellular carcinoma after hepatectomy: comparison of five staging systems.

Authors:  X-F Zhang; X Qi; B Meng; C Liu; L Yu; B Wang; Y Lv
Journal:  Eur J Surg Oncol       Date:  2010-06-09       Impact factor: 4.424

2.  Methylation of multiple genes as molecular markers for diagnosis of a small, well-differentiated hepatocellular carcinoma.

Authors:  Toyoki Moribe; Norio Iizuka; Toshiaki Miura; Naoki Kimura; Shigeru Tamatsukuri; Hideo Ishitsuka; Yoshihiko Hamamoto; Kazuhiko Sakamoto; Takao Tamesa; Masaaki Oka
Journal:  Int J Cancer       Date:  2009-07-15       Impact factor: 7.396

3.  Frequent p15 promoter methylation in tumor and peripheral blood from hepatocellular carcinoma patients.

Authors:  I H Wong; Y M Lo; W Yeo; W Y Lau; P J Johnson
Journal:  Clin Cancer Res       Date:  2000-09       Impact factor: 12.531

4.  Differential methylation of the promoter and first exon of the RASSF1A gene in hepatocarcinogenesis.

Authors:  Surbhi Jain; Lijia Xie; Batbold Boldbaatar; Selena Y Lin; James P Hamilton; Stephen J Meltzer; Shun-Hua Chen; Chi-Tan Hu; Timothy M Block; Wei Song; Ying-Hsiu Su
Journal:  Hepatol Res       Date:  2014-12-09       Impact factor: 4.288

5.  Identification of epigenetically inactivated genes in human hepatocellular carcinoma by integrative analyses of methylation profiling and pharmacological unmasking.

Authors:  Naoshi Nishida; Hirokazu Chishina; Tadaaki Arizumi; Masahiro Takita; Satoshi Kitai; Norihisa Yada; Satoru Hagiwara; Tatsuo Inoue; Yasunori Minami; Kazuomi Ueshima; Toshiharu Sakurai; Masatoshi Kudo
Journal:  Dig Dis       Date:  2014-10-29       Impact factor: 2.404

Review 6.  New serum markers of hepatocellular carcinoma.

Authors:  Ryota Masuzaki; Seth J Karp; Masao Omata
Journal:  Semin Oncol       Date:  2012-08       Impact factor: 4.929

7.  The STAT3 inhibitor NSC 74859 is effective in hepatocellular cancers with disrupted TGF-beta signaling.

Authors:  L Lin; R Amin; G I Gallicano; E Glasgow; W Jogunoori; J M Jessup; M Zasloff; J L Marshall; K Shetty; L Johnson; L Mishra; A R He
Journal:  Oncogene       Date:  2009-01-12       Impact factor: 9.867

8.  Concordance of DNA methylation pattern in plasma and tumor DNA of Egyptian hepatocellular carcinoma patients.

Authors:  Priyanka Iyer; Abdel-Rahman Zekri; Chu-Wei Hung; Emily Schiefelbein; Kadry Ismail; Ahmed Hablas; Ibrahim A Seifeldin; Amr S Soliman
Journal:  Exp Mol Pathol       Date:  2009-10-07       Impact factor: 3.362

9.  Quantitative analysis of circulating methylated DNA as a biomarker for hepatocellular carcinoma.

Authors:  K C Allen Chan; Paul B S Lai; Tony S K Mok; Henry L Y Chan; Chunming Ding; S W Yeung; Y M Dennis Lo
Journal:  Clin Chem       Date:  2008-07-24       Impact factor: 8.327

10.  Methylation-specific PCR: a novel PCR assay for methylation status of CpG islands.

Authors:  J G Herman; J R Graff; S Myöhänen; B D Nelkin; S B Baylin
Journal:  Proc Natl Acad Sci U S A       Date:  1996-09-03       Impact factor: 11.205

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  9 in total

1.  Application of multiplex methylated-specific PCR with capillary electrophoresis to explore prognostic value of TSGs hypermethylation for hepatocellular carcinoma.

Authors:  Yuan Huang; Ling Wei; Ai-Min Sun; Bo Li; Cheng-Jun Sun; Wei-Bo Liang; Qiu-Ying Liu; Xiao-Qin Yu; Jing-Yang He; Yang Qin
Journal:  J Clin Lab Anal       Date:  2018-03-07       Impact factor: 2.352

Review 2.  The Role of Circulating Free DNA and MicroRNA in Non-Invasive Diagnosis of HBV- and HCV-Related Hepatocellular Carcinoma.

Authors:  Francesca Pezzuto; Luigi Buonaguro; Franco Maria Buonaguro; Maria Lina Tornesello
Journal:  Int J Mol Sci       Date:  2018-03-28       Impact factor: 5.923

Review 3.  DNA Methylation and Micro-RNAs: The Most Recent and Relevant Biomarkers in the Early Diagnosis of Hepatocellular Carcinoma.

Authors:  Angela Cozma; Adriana Fodor; Romana Vulturar; Adela-Viviana Sitar-Tăut; Olga Hilda Orăşan; Flaviu Mureşan; Cezar Login; Ramona Suharoschi
Journal:  Medicina (Kaunas)       Date:  2019-09-19       Impact factor: 2.430

4.  Using circulating tumor DNA as a novel biomarker to screen and diagnose hepatocellular carcinoma: A systematic review and meta-analysis.

Authors:  Ziying Zhang; Peng Chen; Hui Xie; Peiguo Cao
Journal:  Cancer Med       Date:  2019-12-26       Impact factor: 4.452

5.  Influence of some methylated hepatocarcinogenesis-related genes on the response to antiviral therapy and development of fibrosis in chronic hepatitis C patients.

Authors:  Waleed Seif Eldin Mohamed Mostafa; Mohammed Hassan Saiem Al-Dahr; Dalia Abdel Hamid Omran; Zeinab Fathy Abdullah; Suzan Hamdy Elmasry; Mohamed Nabil Ibrahim
Journal:  Clin Mol Hepatol       Date:  2019-10-22

6.  The Role of TSHR, PTEN and RASSF1A Promoters' Methylation Status for Non-Invasive Detection of Papillary Thyroid Carcinoma.

Authors:  Raimonda Klimaitė; Mintautė Kazokaitė; Aistė Kondrotienė; Dalia Daukšienė; Rasa Sabaliauskaitė; Kristina Žukauskaitė; Birutė Žilaitienė; Sonata Jarmalaitė; Albertas Daukša
Journal:  J Clin Med       Date:  2022-08-21       Impact factor: 4.964

Review 7.  Liquid Biopsy in Hepatocellular Carcinoma: Where Are We Now?

Authors:  Filippo Pelizzaro; Romilda Cardin; Barbara Penzo; Elisa Pinto; Alessandro Vitale; Umberto Cillo; Francesco Paolo Russo; Fabio Farinati
Journal:  Cancers (Basel)       Date:  2021-05-10       Impact factor: 6.639

8.  The innovative regularity and role of p16 methylation in blood during HCC development.

Authors:  Cheng-Gang Jiang; Qun Chen; Lina Wu; Guang Wang; Jianzhong Ma
Journal:  J Cancer       Date:  2018-04-27       Impact factor: 4.207

9.  Predicting hepatocellular carcinoma development for cirrhosis patients via methylation detection of heparocarcinogenesis-related genes.

Authors:  Yuan Huang; Ling Wei; Rong-Ce Zhao; Wei-Bo Liang; Jing Zhang; Xue-Qin Ding; Zhi-Long Li; Cheng-Jun Sun; Bo Li; Qiu-Ying Liu; Jing-Yang He; Xiao-Qin Yu; Bo Gao; Ming-Mei Chen; Ai-Min Sun; Yang Qin
Journal:  J Cancer       Date:  2018-06-04       Impact factor: 4.207

  9 in total

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