Cited by 142Epigenetics and DNA MethylationGenetic Syndromes and ImprintingCancer Genomics and Diagnostics

Long interspersed nuclear element-1 hypomethylation in cancer: biology and clinical applications

Open access
Kitkumthorn, Nakarin, Mutirangura, Apiwat·2011·Clinical Epigenetics

Abstract

UNLABELLED: Epigenetic changes in long interspersed nuclear element-1s (LINE-1s or L1s) occur early during the process of carcinogenesis. A lower methylation level (hypomethylation) of LINE-1 is common in most cancers, and the methylation level is further decreased in more advanced cancers. Consequently, several previous studies have suggested the use of LINE-1 hypomethylation levels in cancer screening, risk assessment, tumor staging, and prognostic prediction. Epigenomic changes are complex, and global hypomethylation influences LINE-1s in a generalized fashion. However, the methylation levels of some loci are dependent on their locations. The consequences of LINE-1 hypomethylation are genomic instability and alteration of gene expression. There are several mechanisms that promote both of these consequences in cis. Therefore, the methylation levels of different sets of LINE-1s may represent certain phenotypes. Furthermore, the methylation levels of specific sets of LINE-1s may indicate carcinogenesis-dependent hypomethylation. LINE-1 methylation pattern analysis can classify LINE-1s into one of three classes based on the number of methylated CpG dinucleotides. These classes include hypermethylation, partial methylation, and hypomethylation. The number of partial and hypermethylated loci, but not hypomethylated LINE-1s, is different among normal cell types. Consequently, the number of hypomethylated loci is a more promising marker than methylation level in the detection of cancer DNA. Further genome-wide studies to measure the methylation level of each LINE-1 locus may improve PCR-based methylation analysis to allow for a more specific and sensitive detection of cancer DNA or for an analysis of certain cancer phenotypes. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s13148-011-0032-8) contains supplementary material, which is available to authorized users.

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 · 10.1007/s13148-011-0032-8

Cites

137 of 137 references verified0 citation errors · 0 not checkable

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?

  • L1s are activated by loss of DNA methylation, which often occurs during premalignant hyperplasia; the resulting IFN-I response could then trigger cell death pathways.

    “L1s are activated by loss of DNA methylation, which often occurs during premalignant hyperplasia125; the resulting IFN-I response could then trigger cell death pathways.”

    From The role of retrotransposable elements in ageing and age-associated diseases (2021) · cites this paper as [125]

    The section “LINE-1 methylation regulates gene expression in cis” (page unavailable) says LINE-1 transcriptional activity correlates with hypomethylation. “LINE-1 and other IRS methylation levels in cancer” reports hypomethylation in certain premalignant lesions, but does not establish that it often occurs during premalignant hyperplasia; it also reports hypermethylation in some lesions. The IFN-I and cell-death clause follows the citation and is not attributed to this source. (LLM, conf=0.87)

    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.

Cites

1 retracted

Flagged first, then by citations

Cited by

Sorted by citations

Authors
Kitkumthorn, N., & Mutirangura, A.
Affiliations
  • Mahidol University (TH)
  • Chulalongkorn University (TH)
Corresponding author
Mutirangura, Apiwat
Venue
Clinical Epigenetics
Published
2011-04-10
Volume
2
Issue
2
Pages
315-330
ISSN
  • 1868-7075 (ISSN-L)
  • 1868-7083
OpenAlex
W2052350723
Cited by
142
References
137
Citations by year
2026: 2 · 2025: 3 · 2024: 4 · 2023: 7 · 2022: 9 · 2021: 7 · 2020: 7 · 2019: 11 · 2018: 15 · 2017: 17 · 2016: 6 · 2015: 15 · 2014: 14 · 2013: 15 · 2012: 8
FWCI
5.07
Type
journal article
Language
en
Open access
Locations
  • Clinical Epigenetics (publishedVersion)
  • Europe PMC (PubMed Central) (publishedVersion)
  • PubMed Central (publishedVersion)
  • PubMed (publishedVersion)
Funders
  • Chulalongkorn University
  • Thailand Research Fund
Topics
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Molecular Biology › Epigenetics and DNA Methylation
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Genetic Syndromes and Imprinting
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Cancer Research › Cancer Genomics and Diagnostics
Keywords
LINE-1 hypomethylation, DNA methylation, cancer epigenetics, carcinogenesis, cancer screening, cancer risk assessment, tumor staging, prognostic factors, genomic instability, gene expression changes

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