Evidence map›Paper›PMID 39162297›Full record

ArticleCancer medicine2024

Epigenome-wide association study of prostate cancer in African American men identified differentially methylated genes.

Anders Berglund, Kosj Yamoah, Steven A Eschrich, Rana Falahat, James J Mulé, Sungjune Kim, Jaime Matta, Julie Dutil, Gilberto Ruiz-Deya, Carmen Ortiz Sanchez and 14 more

Abstract read
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In one paragraph

Article in Cancer medicine, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
–field-weighted citation impact
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

6 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Article
  6. Novel Voxel-Based MRI Risk Score LADCTCancer control : journal of the Moffitt Cancer Center
    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

24 authors.

Anders BerglundDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0002-0393-3530
Kosj YamoahDepartment of Radiation Oncology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0001-9055-3538
Steven A EschrichDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0002-9833-2788
Rana FalahatDepartment of Immunology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
James J MuléDepartment of Immunology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Sungjune KimDepartment of Radiation Oncology, Mayo Clinic Alix College of Medicine and Health Sciences, Jacksonville, Florida, USA.
Jaime MattaDepartment of Basic Sciences, Ponce Research Institute, Ponce Health Sciences University-School of Medicine, Ponce, Puerto Rico.
Julie DutilDepartment of Basic Sciences, Ponce Research Institute, Ponce Health Sciences University-School of Medicine, Ponce, Puerto Rico.
Gilberto Ruiz-DeyaDepartment of Basic Sciences, Ponce Research Institute, Ponce Health Sciences University-School of Medicine, Ponce, Puerto Rico.
Carmen Ortiz SanchezDepartment of Basic Sciences, Ponce Research Institute, Ponce Health Sciences University-School of Medicine, Ponce, Puerto Rico.
Liang WangDepartment of Tumor Biology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Hyun ParkDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Hirendra N BanerjeeNatural, Pharmacy and Health Sciences, Elizabeth City State University, Elizabeth City, North Carolina, USA.
Tamara LotanJohns Hopkins University, Baltimore, Maryland, USA.
Kathryn Hughes BarryDepartment of Epidemiology and Public Health, University of Maryland School of Medicine, Baltimore, Maryland, USA.
Ryan M PutneyDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Seung Joon KimDivision of Pulmonology, Department of Internal Medicine, Seoul St. Mary's Hospital, College of Medicine, The Catholic University of Korea, Seoul, Republic of Korea.ORCID 0000-0003-4836-8958
Clement GwedeDepartment of Health Outcome and Behavior, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Jacob K KresovichDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Youngchul KimDepartment of Biostatistics and Bioinformatics, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Hui-Yi LinBiostatistics and Data Science Program, School of Public Health, Louisiana State University School of Medicine, New Orleans, Louisiana, USA.
Jasreman DhillonDepartment of Pathology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.
Ratna ChakrabartiBurnett School of Biomedical Sciences, University of Central Florida, Orlando, Florida, USA.
Jong Y ParkDepartment of Cancer Epidemiology, H. Lee Moffitt Cancer Center, Tampa, Florida, USA.ORCID 0000-0002-6384-6447

Funding

TRANSLATIONAL RESEARCHP30CA076292 · NCI · UNIVERSITY OF SOUTH FLORIDA · PI John L. Cleveland · 1998 to 2026
$93.5M
Using MC1R genotype to impact skin cancer risk behaviors in Hispanics/LatinosU54CA163068 · NCI · H. LEE MOFFITT CANCER CTR & RES INST · PI KENNETH Lynn WRIGHT · 2012 to 2026
$23.1M
Epigenomic and transcriptomic markers of aggressive prostate cancer among African American menK07CA230182 · NCI · UNIVERSITY OF MARYLAND BALTIMORE · PI BARRY, KATHRYN HUGHES · 2018 to 2023
$827k
Common Fund U54CA163068Division of Cancer Prevention, National Cancer Institute K07CA230182Division of Cancer Prevention, National Cancer Institute P30-CA076292DOD Prostate Cancer Research Program HT9425-23-1-0650DOD Prostate Cancer Research Program HT9425-23-1-0651Florida Department of Health, James and Esther King Biomedical Research Program 6JK06Maryland Department of Health's Cigarette Restitution Fund Program CH-649-CRFNCI NIH HHS K07 CA230182NCI NIH HHS P30 CA076292NCI NIH HHS U54 CA163068
6 · The paper itself

Abstract

introductionMen with African ancestry have the highest incidence and mortality rates of prostate cancer (PCa) worldwide.

methodsThis study aimed to identify differentially methylated genes between tumor vs. adjacent normal and aggressive vs. indolent PCa in 121 African American patients. Epigenome-wide DNA methylation patterns in tumor DNA were assessed using the human Illumina Methylation EPIC V1 array.

resultsAround 5,139 differentially methylated CpG-sites (q < 0.01, lΔβl > 0.2) were identified when comparing normal vs. tumor, with an overall trend of hypermethylation in prostate tumors.  Multiple representative differentially methylated regions (DMRs), including immune-related genes, such as CD40, Galectin3, OX40L, and STING, were detected in prostate tumors when compared to adjacent normal tissues. Based on an epigenetic clock model, we observed that tumors' total number of stem cell divisions and the stem cell division rate were significantly higher than adjacent normal tissues. Regarding PCa aggressiveness, 2,061 differentially methylated CpG-sites (q < 0.05, lΔβl > .05) were identified when the grade group (GG)1 was compared with GG4/5. Among these 2,061 CpG sites, 155 probes were consistently significant in more than one comparison. Among these genes, several immune system genes, such as COL18A1, S100A2, ITGA4, HLA-C, and ADCYAP1, have previously been linked to tumor progression in PCa.

conclusionSeveral differentially methylated genes involved in immune-oncologic pathways associated with disease risk or aggressiveness were identified. In addition, 261 African American-specific differentially methylated genes related to the risk of PCa were identified. These results can shedlight on potential mechanisms contributing to PCa disparities in the African American Population.

Indexed as

Black or African AmericanDNA MethylationGenome-Wide Association StudyProstatic NeoplasmsAgedBiomarkers, TumorCpG IslandsEpigenesis, GeneticEpigenomeGene Expression Regulation, NeoplasticHumansMaleMiddle AgedBiomarkers, Tumorepidemiologyepigeneticsmethylationprostate cancer

Identifiers

PMID39162297
PMCPMC11334050

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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.