The DOI matches its Crossref record; 137 of the 137 references it cites were found in a registry or an index.
Long interspersed nuclear element-1 hypomethylation in cancer: biology and clinical applications
Open accessAbstract
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.
Overview
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.
Integrity signals
Registry
Cites
Statistics
Verification
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.
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 source backs part of the claim, not all of it — or backs it for a different population, condition or comparison.
In the citing paper
“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]
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.
Citations
Cites
1 retracted
Román‐Gómez, J., Jiménez‐Velasco, A., Agirre, X., Cervantes, F., Sánchez, J., Gárate, L., Barrios, M., Castillejo, J. A., Navarro, G., Colomer, D., et al. (2005) · Oncogene · doi:10.1038/sj.onc.1208866 · Cited by 212
RetractedInitial sequencing and analysis of the human genome
International Human Genome Sequencing Consortium, Whitehead Institute for Biomedical Research, C. F. G. R., Lander, E. S., Linton, L. M., Birren, B., Nusbaum, C., Zody, M. C., Baldwin, J., Devon, K., Dewar, K., et al. (2001) · Nature · doi:10.1038/35057062 · Cited by 24,216
Principles and challenges of genome-wide DNA methylation analysis
Laird, P. W. (2010) · Nature Reviews Genetics · doi:10.1038/nrg2732 · Cited by 1,611
Induction of tumors in mice by genomic hypomethylation
Gaudet, F., Hodgson, J. G., Eden, A., Jackson-Grusby, L., Dausman, J., Gray, J. W., Leonhardt, H., & Jaenisch, R. (2003) · Science · doi:10.1126/science.1083558 · Cited by 1,499 · cited 1×
“Transgenic mice with hereditary defects in DNA methyltransferase show increased risk of developing cancer (Gaudet et al. 2003).”
BackgroundChromosomal Instability and Tumors Promoted by DNA Hypomethylation
Eden, A., Gaudet, F., Waghmare, A., & Jaenisch, R. (2003) · Science · doi:10.1126/science.1083557 · Cited by 1,401
COBRA: a sensitive and quantitative DNA methylation assay
Xiong, Z., & Laird, P. W. (1997) · Nucleic Acids Research · doi:10.1093/nar/25.12.2532 · Cited by 1,188
A simple method for estimating global DNA methylation using bisulfite PCR of repetitive DNA elements
Yang, A. S. (2004) · Nucleic Acids Research · doi:10.1093/nar/gnh032 · Cited by 1,033
The DNMT3B DNA methyltransferase gene is mutated in the ICF immunodeficiency syndrome
Hansen, R. S., Wijmenga, C., Luo, P., Stanek, A. M., Canfield, T. K., Weemaes, C. M. R., & Gartler, S. M. (1999) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.96.25.14412 · Cited by 743
Analysis of repetitive element DNA methylation by MethyLight
Weisenberger, D. J. (2005) · Nucleic Acids Research · doi:10.1093/nar/gki987 · Cited by 716
Exon Shuffling by L1 Retrotransposition
Moran, J. V., DeBerardinis, R. J., & Kazazian, H. H. (1999) · Science · doi:10.1126/science.283.5407.1530 · Cited by 635
Cited by
Sorted by citations
Restricting retrotransposons: a review
Goodier, J. L. (2016) · Mobile DNA · doi:10.1186/s13100-016-0070-z · Cited by 436
The role of retrotransposable elements in ageing and age-associated diseases
Gorbunova, V., Seluanov, A., Mita, P., McKerrow, W., Fenyö, D., Boeke, J. D., Linker, S. B., Gage, F. H., Kreiling, J. A., Petrashen, A. P., et al. (2021) · Nature · doi:10.1038/s41586-021-03542-y · Cited by 446
Ogino, S., Lochhead, P. J., Chan, A. T., Nishihara, R., Cho, E., Wolpin, B. M., Meyerhardt, J. A., Meissner, A., Schernhammer, E. S., Fuchs, C. S., et al. (2013) · Modern Pathology · doi:10.1038/modpathol.2012.214 · Cited by 214
Lochhead, P., Chan, A. T., Nishihara, R., Fuchs, C. S., Beck, A. H., Giovannucci, E., & Ogino, S. (2015) · Modern Pathology · doi:10.1038/modpathol.2014.81 · Cited by 206
Genetic and epigenetic drivers of neuroendocrine tumours (NET)
Domenico, A. D., Wiedmer, T., Marinoni, I., & Perren, A. A. (2017) · Endocrine Related Cancer · doi:10.1530/erc-17-0012 · Cited by 145
Metadata
- 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
- PMC
- PMC3365388
- 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
- gold
- doi.org
- 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
