ArticlePloS one2018
Aberrant DNMT3B7 expression correlates to tissue type, stage, and survival across cancers.
Article in PloS one, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
What it found
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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.
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Who cites it
8 citing papers in PubMed, 17 citations in OpenAlex.
- CLEC11A methylation is correlated to AML subtypes and cytogenetic risk factors but not patient demographics.PloS one · 2024Article
- Expression of DNA Methyltransferase 3B Isoforms Is Associated with DNA Satellite 2 Hypomethylation and Clinical Prognosis in Advanced High-Grade Serous Ovarian Carcinoma.International journal of molecular sciences · 2022Article
- DNA Methyltransferases: From Evolution to Clinical Applications.International journal of molecular sciences · 2022Review
- Targeting DNMTs to Overcome Enzalutamide Resistance in Prostate Cancer.Molecular cancer therapeutics · 2022Article
- Article
- DNA hypermethylation in disease: mechanisms and clinical relevance.Epigenetics · 2019Review
- Piperine: role in prevention and progression of cancer.Molecular biology reports · 2019Review
- Polo-Like Kinase 4 (PLK4) Is Overexpressed in Central Nervous System Neuroblastoma (CNS-NB).Bioengineering (Basel, Switzerland) · 2018Article
Corrections and comments
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Authors and funding
6 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Cancer cells are known for aberrant methylation patterns leading to altered gene expression and tumor progression. DNA methyltransferases (DNMTs) are responsible for regulating DNA methylation in normal cells. However, many aberrant versions of DNMTs have been identified to date and their role in cancer continues to be elucidated. It has been previously shown that an aberrant version of a de novo methylase, DNMT3B7, is expressed in many cancer cell lines and has a functional role in the progression of breast cancer, neuroblastoma, and lymphoma. It is clear that DNMT3B7 is important to tumor development in vitro and in vivo, but it is unknown if expression of the transcript in all of these cell lines translates to relevant clinical results. In this study, a bioinformatics approach was utilized to test the hypothesis that DNMT3B7 expression corresponds to tumor progression in patient samples across cancer types. Gene expression and clinical data were obtained from the Genomic Data Commons for the 33 cancer types available and analyzed for DNMT3B7 expression with relation to tissue type in matched and unmatched samples, staging of tumors, and patient survival. Here we present the results of this analysis indicating a role for DNMT3B7 in tumor progression of many additional cancer types. Based on these data, future in vitro and in vivo studies can be prioritized to examine DNMT3B7 in cancer and, hopefully, develop novel therapeutics to target this aberrant transcript across multiple tumor types.
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