Evidence map›Paper›PMID 30071066›Full record

ArticlePloS one2018

Aberrant DNMT3B7 expression correlates to tissue type, stage, and survival across cancers.

Safia Siddiqui, Michael W White, Aimee M Schroeder, Nicholas V DeLuca, Andrew L Leszczynski, Stacey L Raimondi

Open access · goldAbstract read
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

8 citing papers in PubMed, 17 citations in OpenAlex.

  1. Article
  2. Article
  3. DNA Methyltransferases: From Evolution to Clinical Applications.International journal of molecular sciences · 2022
    Review
  4. Article
  5. Epigenetics insights · 2020
    Article
  6. Review
  7. Review
  8. Article
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

6 authors at 1 institution in 1 country.

Safia SiddiquiDepartment of Biology, Elmhurst College, Elmhurst, Illinois, United States of America.
Michael W WhiteDepartment of Biology, Elmhurst College, Elmhurst, Illinois, United States of America.
Aimee M SchroederDepartment of Biology, Elmhurst College, Elmhurst, Illinois, United States of America.
Nicholas V DeLucaDepartment of Biology, Elmhurst College, Elmhurst, Illinois, United States of America.
Andrew L LeszczynskiDepartment of Biology, Elmhurst College, Elmhurst, Illinois, United States of America.
Stacey L RaimondiDepartment of Biology, Elmhurst College, Elmhurst, Illinois, United States of America.ORCID 0000-0001-7667-6814
Elmhurst College · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Gene Expression Regulation, EnzymologicGene Expression Regulation, NeoplasticCell Line, TumorDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BFemaleHumansMaleNeoplasm ProteinsNeoplasmsNeoplasm StagingOrgan SpecificityDNA (Cytosine-5-)-MethyltransferasesDNA Methyltransferase 3BNeoplasm Proteins

Identifiers

PMID30071066
PMCPMC6072033
OpenAlexW2886464557

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.