Evidence map›Paper›PMID 37279148›Full record

ArticleEpigenetics2023

Comparative and integrative analysis of transcriptomic and epigenomic-wide DNA methylation changes in African American prostate cancer.

Chad J Creighton, Flora Zhang, Yiqun Zhang, Patricia Castro, Rong Hu, Md Islam, Somiranjan Ghosh, Michael Ittmann, Bernard Kwabi-Addo

Open access · diamondAbstract read
In one paragraph

Article in Epigenetics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.5field-weighted citation impact, top 7% 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

12 citing papers in PubMed, 15 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Article
  6. Pleiotropic Effects ofBiomolecules · 2025
    Review
  7. Differential DNA Methylation in the Benign and Cancerous Prostate Tissue of African American and European American Men.Cancer epidemiology, biomarkers & prevention : a publication of the American Association for Cancer Research, cosponsored by the American Society of Preventive Oncology · 2025
    Article
  8. Article
  9. Review
  10. Article
  11. Review
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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

9 authors at 5 institutions in 1 country.

Chad J CreightonDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
Flora ZhangCenter for Women's Studies, Colgate University, Hamilton, New York, USA.
Yiqun ZhangDan L. Duncan Comprehensive Cancer Center, Baylor College of Medicine, Houston, TX, USA.
Patricia CastroDepartment of Pathology and Immunology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
Rong HuLombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia, USA.
Md IslamLombardi Comprehensive Cancer Center, Georgetown University, Washington, District of Columbia, USA.
Somiranjan GhoshDepartment of Biology, Howard University, Washington, Columbia, USA.
Michael IttmannDepartment of Pathology and Immunology, Michael E. DeBakey Veterans Affairs Medical Center, Houston, Texas, USA.
Bernard Kwabi-AddoDepartment of Biochemistry and Molecular Biology, Howard University, Washington, Columbia, USA.ORCID 0000-0003-3692-6350
Baylor College of Medicine · USGeorgetown University · USHoward University · USMichael E. DeBakey VA Medical Center · USColgate University · US

Funding

Sleep Disorders in Adults with Sickle Cell Disease: Frequency, Associations with Cardiovascular and Pain Indicators, and Responses to TreatmentU54MD007597 · NIMHD · HOWARD UNIVERSITY · PI BYRON D. FORD · 2019 to 2026
$37.7M
NIMHD NIH HHS U54 MD007597
6 · The paper itself

Abstract

African American (AA) men have the highest incidence and mortality rate from Prostate cancer (PCa) than any other racial/ethnic group. To date, PCa genomic studies have largely under-represented tumour samples from AA men. We measured genome-wide DNA methylation in benign and tumor prostate tissues from AA men using the Illumina Infunium 850 K EPIC array. mRNA expression database from a subset of the AA biospecimen were used to assess correlation of transcriptome and methylation datasets. Genome-wide methylation analysis identified 11,460 probes that were significant (p < 0.01) and differentially methylated in AA PCa compared to normal prostate tissues and showed significant (p < 0.01) inverse-correlation with mRNA expression. Ingenuity pathway analysis and Gene Ontology analysis in our AA dataset compared with TCGA dataset showed similarities in methylation patterns: top candidate genes with significant hypermethylation and corresponding down-regulated gene expression were associated with biological pathways in hemidesmosome assembly, mammary gland development, epidermis development, hormone biosynthesis, and cell communication. In addition, top candidate genes with significant hypomethylation and corresponding up-regulated gene expression were associated with biological pathways in macrophage differentiation, cAMP-dependent protein kinase activity, protein destabilization, transcription co-repression, and fatty acid biosynthesis. In contrast, differences in genome-wide methylation in our AA dataset compared with TCGA dataset were enriched for genes in steroid signalling, immune signalling, chromatin structure remodelling and RNA processing. Overall, differential methylation of

Indexed as

DNA MethylationProstatic NeoplasmsBlack or African AmericanCarrier ProteinsCpG IslandsEpigenomicsGene Expression Regulation, NeoplasticHumansMaleNerve Tissue ProteinsRNA, MessengerTranscriptomeCarrier ProteinsNerve Tissue ProteinsRNA, MessengerZNF292 protein, humanAfrican American menClinically localized prostate cancerCpG methylationDNA methylationgene expressionGenome-wide profiling

Identifiers

PMID37279148
PMCPMC9980641
OpenAlexW4321499955

What OpenQuestion holds

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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.