Cited by 115Epigenetics and DNA MethylationCancer-related gene regulationCancer-related molecular mechanisms research

Elucidating the Landscape of Aberrant DNA Methylation in Hepatocellular Carcinoma

Open access
Song, Min-Ae, Tiirikainen, Maarit, Kwee, Sandi, Okimoto, Gordon, Yu, Herbert, Wong, Linda L.·2013·PLoS ONE

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) is one of the most common cancers and frequently presents with an advanced disease at diagnosis. There is only limited knowledge of genome-scale methylation changes in HCC. METHODS AND FINDINGS: We performed genome-wide methylation profiling in a total of 47 samples including 27 HCC and 20 adjacent normal liver tissues using the Illumina HumanMethylation450 BeadChip. We focused on differential methylation patterns in the promoter CpG islands as well as in various less studied genomic regions such as those surrounding the CpG islands, i.e. shores and shelves. Of the 485,577 loci studied, significant differential methylation (DM) was observed between HCC and adjacent normal tissues at 62,692 loci or 13% (p<1.03e-07). Of them, 61,058 loci (97%) were hypomethylated and most of these loci were located in the intergenic regions (43%) or gene bodies (33%). Our analysis also identified 10,775 differentially methylated (DM) loci (17% out of 62,692 loci) located in or surrounding the gene promoters, 4% of which reside in known Differentially Methylated Regions (DMRs) including reprogramming specific DMRs and cancer specific DMRs, while the rest (10,315) involving 4,106 genes could be potential new HCC DMR loci. Interestingly, the promoter-related DM loci occurred twice as frequently in the shores than in the actual CpG islands. We further characterized 982 DM loci in the promoter CpG islands to evaluate their potential biological function and found that the methylation changes could have effect on the signaling networks of Cellular development, Gene expression and Cell death (p=1.0e-38), with BMP4, CDKN2A, GSTP1, and NFATC1 on the top of the gene list. CONCLUSION: Substantial changes of DNA methylation at a genome-wide level were observed in HCC. Understanding epigenetic changes in HCC will help to elucidate the pathogenesis and may eventually lead to identification of molecular markers for liver cancer diagnosis, treatment and prognosis.

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1371/journal.pone.0055761

Cites

Statistics

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Claims other papers make about this one

Each is checked against this paper’s own text: does it say what the citing paper says it does?

  • The role of epigenetic dysregulation in driving the aberrant activity of CREs and retrotransposons in HCC remains incompletely understood.

    “the role of epigenetic dysregulation in driving the aberrant activity of CREs and retrotransposons in HCC remains incompletely understood50–52,93.”

    From Multi-omic analysis of hepatocellular carcinoma reveals aberrant cis-regulatory changes and dysregulated retrotransposons with prognostic potential (2025) · cites this paper as [51]

    The Introduction says HCC methylation studies had been limited in scope, including studies of repetitive elements such as LINE1, and calls for further analysis. This supports the broader point that epigenetic changes in HCC remain incompletely understood, but the paper does not establish a role for epigenetic dysregulation in driving aberrant CRE or retrotransposon activity. (LLM, conf=0.76)

    Experimental — accuracy not yet measured

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

The citation lists haven’t been fetched yet

References 31 · Cited by 115

Research works printed but not linked: 30

  1. [1]Parkin DM (2001) Global cancer statistics in the year 2000. Lancet Oncol 2: 533– 543. 11905707
  2. [2]Feitelson MA (2006) Parallel epigenetic and genetic changes in the pathogenesis of hepatitis virus-associated hepatocellular carcinoma. Cancer Lett 239: 10– 20. 16154256
  3. [3]Fattovich G, Stroffolini T, Zagni I, Donato F (2004) Hepatocellular carcinoma in cirrhosis: incidence and risk factors. Gastroenterology 127: S35– 50. 15508101
  4. [4]Gomaa AI, Khan SA, Toledano MB, Waked I, Taylor-Robinson SD (2008) Hepatocellular carcinoma: epidemiology, risk factors and pathogenesis. World J Gastroenterol 14: 4300– 4308. 18666317 PMC2731180
  5. [5]Herath NI, Leggett BA, MacDonald GA (2006) Review of genetic and epigenetic alterations in hepatocarcinogenesis. J Gastroenterol Hepatol 21: 15– 21. 16706806
  6. [6]Jones PA, Baylin SB (2002) The fundamental role of epigenetic events in cancer. Nat Rev Genet 3: 415– 428. 12042769
  7. [7]Irizarry RA, Ladd-Acosta C, Wen B, Wu Z, Montano C, et al (2009) The human colon cancer methylome shows similar hypo- and hypermethylation at conserved tissue-specific CpG island shores. Nat Genet 41: 178– 186. 19151715 PMC2729128
  8. [8]Rakyan VK, Down TA, Balding DJ, Beck S (2011) Epigenome-wide association studies for common human diseases. Nat Rev Genet 12: 529– 541. 21747404 PMC3508712
  9. [9]Issa JP (2004) CpG island methylator phenotype in cancer. Nat Rev Cancer 4: 988– 993. 15573120
  10. [10]Matsuzaki K, Deng G, Tanaka H, Kakar S, Miura S, et al (2005) The relationship between global methylation level, loss of heterozygosity, and microsatellite instability in sporadic colorectal cancer. Clin Cancer Res 11: 8564– 8569. 16361538
  11. [11]Kwee S, Song MA, Cheng I, Loo L, Tiirikainen M (2012) Measurement of circulating cell-free DNA in relation to 18F-fluorocholine PET/CT imaging in chemotherapy-treated advanced prostate cancer. Clin Transl Sci 5: 65– 70. 22376260 PMC3500883
  12. [12]Zhong S, Tang MW, Yeo W, Liu C, Lo YM, et al (2002) Silencing of GSTP1 gene by CpG island DNA hypermethylation in HBV-associated hepatocellular carcinomas. Clin Cancer Res 8: 1087– 1092. 11948118
  13. [13]Moribe T, Iizuka N, Miura T, Kimura N, Tamatsukuri S, et al (2009) Methylation of multiple genes as molecular markers for diagnosis of a small, well-differentiated hepatocellular carcinoma. Int J Cancer 125: 388– 397. 19384946
  14. [14]Tao R, Li J, Xin J, Wu J, Guo J, et al (2011) Methylation profile of single hepatocytes derived from hepatitis B virus-related hepatocellular carcinoma. PLoS One 6: e19862. 21625442 PMC3100314
  15. [15]Shen J, Wang S, Zhang YJ, Kappil M, Wu HC, et al (2012) Genome-wide DNA methylation profiles in hepatocellular carcinoma. Hepatology 55: 1799– 1808. 22234943 PMC3330167
  16. [16]Doi A, Park IH, Wen B, Murakami P, Aryee MJ, et al (2009) Differential methylation of tissue- and cancer-specific CpG island shores distinguishes human induced pluripotent stem cells, embryonic stem cells and fibroblasts. Nat Genet 41: 1350– 1353. 19881528 PMC2958040
  17. [18]Tischoff I, Tannapfe A (2008) DNA methylation in hepatocellular carcinoma. World J Gastroenterol 14: 1741– 1748. 18350605 PMC2695914
  18. [19]Yang B, Guo M, Herman JG, Clark DP (2003) Aberrant promoter methylation profiles of tumor suppressor genes in hepatocellular carcinoma. Am J Pathol 163: 1101– 1107. 12937151 PMC1868243
  19. [20]Lin CH, Hsieh SY, Sheen IS, Lee WC, Chen TC, et al (2001) Genome-wide hypomethylation in hepatocellular carcinogenesis. Cancer Res 61: 4238– 4243. 11358850
  20. [21]Tangkijvanich P, Hourpai N, Rattanatanyong P, Wisedopas N, Mahachai V, et al (2007) Serum LINE-1 hypomethylation as a potential prognostic marker for hepatocellular carcinoma. Clin Chim Acta 379: 127– 133. 17303099
  21. [22]Ammerpohl O, Pratschke J, Schafmayer C, Haake A, Faber W, et al (2012) Distinct DNA methylation patterns in cirrhotic liver and hepatocellular carcinoma. Int J Cancer 130: 1319– 1328. 21500188
  22. [23]Hernandez-Vargas H, Lambert MP, Le Calvez-Kelm F, Gouysse G, McKay-Chopin S, et al (2010) Hepatocellular carcinoma displays distinct DNA methylation signatures with potential as clinical predictors. PLoS One 5: e9749. 20305825 PMC2840036
  23. [24]Clark SJ, Melki J (2002) DNA methylation and gene silencing in cancer: which is the guilty party? Oncogene 21: 5380– 5387. 12154400
  24. [25]Peters J, Williamson CM (2007) Control of imprinting at the Gnas cluster. Epigenetics 2: 207– 213. 18094621
  25. [26]Peters J, Williamson CM (2008) Control of imprinting at the Gnas cluster. Adv Exp Med Biol 626: 16– 26. 18372788
  26. [27]Maegdefrau U, Amann T, Winklmeier A, Braig S, Schubert T, et al (2009) Bone morphogenetic protein 4 is induced in hepatocellular carcinoma by hypoxia and promotes tumour progression. J Pathol 218: 520– 529. 19431154
  27. [28]Galacteros F, Guilloud-Bataille M, Feingold J (1991) Sex, gestational age, and weight dependancy of adult hemoglobin concentration in normal newborns. Blood 78: 1121– 1124. 1868243
  28. [29]Wang J, Qin Y, Li B, Sun Z, Yang B (2006) Detection of aberrant promoter methylation of GSTP1 in the tumor and serum of Chinese human primary hepatocellular carcinoma patients. Clin Biochem 39: 344– 348. 16527261
  29. [30]Deaton AM, Bird A (2011) CpG islands and the regulation of transcription. Genes Dev 25: 1010– 1022. 21576262 PMC3093116
  30. [31]Jones PA (2012) Functions of DNA methylation: islands, start sites, gene bodies and beyond. Nat Rev Genet 13: 484– 492. 22641018

Authors
Song, M.-A., Tiirikainen, M., Kwee, S., Okimoto, G., Yu, H., & Wong, L. L.
Affiliations
  • University of Hawaiʻi at Mānoa (US)
  • Cancer Center of Hawaii (US)
Corresponding author
Wong, Linda L.
Venue
PLoS ONE
Published
2013-02-20
Volume
8
Issue
2
Pages
e55761
ISSN
1932-6203 (ISSN-L)
OpenAlex
W2054047930
Cited by
115
References
31
Citations by year
2026: 4 · 2025: 4 · 2024: 5 · 2023: 4 · 2022: 8 · 2021: 6 · 2020: 6 · 2019: 7 · 2018: 10 · 2017: 12 · 2016: 14 · 2015: 15 · 2014: 18 · 2013: 2
FWCI
7.32
Type
journal article
Language
en
Open access
Locations
  • PLoS ONE (publishedVersion, cc-by)
  • Europe PMC (PubMed Central) (publishedVersion, cc-by)
  • PubMed Central (publishedVersion, cc-by)
  • PubMed (publishedVersion)
  • DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
  • Figshare (submittedVersion, cc-by)
Funders
  • National Institutes of Health
  • National Cancer Institute (P30CA071789)
  • National Institute on Minority Health and Health Disparities (U54MD007584)
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Cancer-related gene regulation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer-related molecular mechanisms research
Keywords
hepatocellular carcinoma, DNA methylation, genome-wide methylation profiling, differentially methylated regions, promoter CpG islands, hypomethylation, epigenetic reprogramming, BMP4, CDKN2A, GSTP1, NFATc1, signaling networks, liver cancer biomarkers
MeSH terms
Aged, Aged, 80 and over, Enhancer Elements, Genetic, Female, Carcinoma, Hepatocellular, Humans, Liver Neoplasms, Male, Middle Aged, Promoter Regions, Genetic, Reproducibility of Results, Genome, Human, Sequence Analysis, DNA, CpG Islands, DNA Methylation, Gene Regulatory Networks, Genetic Loci

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review