Evidence map›Paper›PMID 36350516›Full record

ArticleAdvances in experimental medicine and biology2022

The Role of DNA Methylation and DNA Methyltransferases in Cancer.

Daniel J Weisenberger, Ranjani Lakshminarasimhan, Gangning Liang

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In one paragraph

Article in Advances in experimental medicine and biology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.

0numbers the graph read from it
0cells of the map it votes in
15citing papers in PubMed
10.0field-weighted citation impact, top 1% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

15 citing papers in PubMed, 22 citations in OpenAlex.

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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 2 institutions in 1 country.

Daniel J WeisenbergerDepartment of Biochemistry and Molecular Medicine, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, USA.
Ranjani LakshminarasimhanDepartment of Urology, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, USA.
Gangning LiangDepartment of Urology, University of Southern California, Norris Comprehensive Cancer Center, Los Angeles, CA, USA. gliang@usc.edu.
University of Southern California · USGuardian Industries (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The malignant transformation of normal cells is driven by both genetic and epigenetic changes. With the advent of next-generation sequencing and large-scale international consortia, it is now possible to profile the genomes and epigenomes of thousands of primary tumors from nearly every cancer type. These studies clearly demonstrate that the dynamic regulation of DNA methylation is a critical epigenetic mechanism of cancer initiation, maintenance, and progression. Proper control of DNA methylation is not only crucial for regulating gene transcription and tissue-specific cellular functions, but its broader consequences include maintaining the integrity of the genome and modulating the immune response. Here, we describe the aberrant DNA methylation changes in human cancers and how they contribute to the disease phenotypes. Aside from CpG island promoter DNA hypermethylation-based gene silencing, human cancers also display gene body DNA hypomethylation that is also associated with downregulated gene expression. In addition, the implementation of whole genome bisulfite sequencing (WGBS) has unveiled DNA hypomethylation of large blocks of the genome, known as partially methylated domains (PMDs), as well as cancer-specific DNA methylation aberrancies at enhancers and super-enhancers. Integrating WGBS and DNA methylation array data with mutation, copy number, and gene expression data has allowed for the identification of novel tumor suppressor genes and candidate driver genes of the disease state. Finally, we highlight potential clinical implications of these changes in the context of prognostic and diagnostic biomarkers, as well as therapeutic targets. Mounting evidence shows that DNA methylation data are effective and highly-sensitive disease classifiers, not only from analyses of the primary tumor but also from tumor-derived, cell free DNA (cfDNA) in blood of cancer patients. These findings highlight the power of DNA methylation aberrancies in providing efficacious biomarkers for clinical utility in improving patient diagnostics and their reversal using DNA methylation inhibitors in cancer treatment may be key in surveillance, treatment, and quality of life for cancer patients.

Indexed as

DNA MethylationNeoplasmsCpG IslandsDNA Modification MethylasesEpigenesis, GeneticGene Expression Regulation, NeoplasticHumansQuality of LifeDNA Modification MethylasesBiomarkersCancer epigeneticscfDNADNA methylationDNA methylation inhibitorsDNMTsHypermethylationHypomethylationLiquid biopsy

Identifiers

PMID36350516
OpenAlexW4308772665

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.