ReviewAdvances in experimental medicine and biology2013
Methods for cancer epigenome analysis.
Review in Advances in experimental medicine and biology, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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.
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.
Who cites it
5 citing papers in PubMed, 22 citations in OpenAlex.
- DNA methylation alterations in the pathogenesis of lupus.Clinical and experimental immunology · 2017Review
- Loss of the polycomb mark from bivalent promoters leads to activation of cancer-promoting genes in colorectal tumors.Cancer research · 2014Article
- LINE1 and Alu repetitive element DNA methylation in tumors and white blood cells from epithelial ovarian cancer patients.Gynecologic oncology · 2014Article
- How has the study of the human placenta aided our understanding of partially methylated genes?Epigenomics · 2013Article
- Alterations of DNA methylome in human bladder cancer.Epigenetics · 2013Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
Accurate detection of epimutations in tumor cells is crucial for -understanding the molecular pathogenesis of cancer. Alterations in DNA methylation in cancer are functionally important and clinically relevant, but even this well-studied area is continually re-evaluated in light of unanticipated results, such as the strong association between aberrant DNA methylation in adult tumors and polycomb group profiles in embryonic stem cells, cancer-associated genetic mutations in epigenetic regulators such as DNMT3A and TET family genes, and the discovery of altered 5-hydroxymethylcytosine, a product of TET proteins acting on 5-methylcytosine, in human tumors with TET mutations. The abundance and distribution of covalent histone modifications in primary cancer tissues relative to normal cells is an important but largely uncharted area, although there is good evidence for a mechanistic role of cancer-specific alterations in histone modifications in tumor etiology, drug response, and tumor progression. Meanwhile, the discovery of new epigenetic marks continues, and there are many useful methods for epigenome analysis applicable to primary tumor samples, in addition to cancer cell lines. For DNA methylation and hydroxymethylation, next-generation sequencing allows increasingly inexpensive and quantitative whole-genome profiling. Similarly, the refinement and maturation of chromatin immunoprecipitation with next-generation sequencing (ChIP-seq) has made possible genome-wide mapping of histone modifications, open chromatin, and transcription factor binding sites. Computational tools have been developed apace with these epigenome methods to better enable accurate interpretation of the profiling data.
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What OpenQuestion holds
Registered trials
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.