Evidence map›Paper›PMID 36580834›Full record

ArticleGynecologic oncology2023

Analysis of endometrial carcinoma TCGA reveals differences in DNA methylation in tumors from Black and White women.

Huma Asif, Grace Foley, Melissa Simon, Dario Roque, J Julie Kim

Open access · greenAbstract read
In one paragraph

Article in Gynecologic oncology, 2023. 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
1.0field-weighted citation impact, top 24% 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, 12 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Article
  6. Review
  7. Article
  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

5 authors at 1 institution in 1 country.

Huma AsifDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA.
Grace FoleyDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA.
Melissa SimonDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA.
Dario RoqueDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA.
J Julie KimDepartment of Obstetrics and Gynecology, Feinberg School of Medicine, Northwestern University, USA. Electronic address: j-kim4@northwestern.edu.
Northwestern University · US

Funding

The Chicago Cancer Health Equity Collaborative (ChicagoCHEC)U54CA202995 · NCI · NORTHEASTERN ILLINOIS UNIVERSITY · PI LUEDKE, TRACY J · 2015 to 2024
$9.5M
The Northwestern University Cancer Health Equity Research SPORE (NU-CHERS)P20CA233304 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI SIMON, MELISSA A. · 2020 to 2022
$3.1M
Cancer Health Equity Career Development ProgramT32CA057699 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI Marian L. Fitzgibbon · 2018 to 2026
$3.0M
Understanding Progesterone Receptor action in Obesity for Endometrial Cancer PreventionR01CA243249 · NCI · NORTHWESTERN UNIVERSITY AT CHICAGO · PI KIM, JI-YONG JULIE · 2019 to 2024
$2.6M
Northwestern Center for Reproductive Science Predoctoral Training Program in Reproductive Science, Medicine, and TechnologyT32HD094699 · NICHD · NORTHWESTERN UNIVERSITY AT CHICAGO · PI Ji-Yong Julie Kim · 2019 to 2026
$1.3M
NCI NIH HHS P20 CA233304NCI NIH HHS R01 CA243249NCI NIH HHS T32 CA057699NCI NIH HHS U54 CA202995NICHD NIH HHS T32 HD094699
6 · The paper itself

Abstract

objectiveRacial disparities exist in cancer patients both in incidence and death rates. In endometrial cancer, Black patients are reported to have higher incidence of aggressive endometrial cancer subtypes and higher death rates than White women. To date, diagnostic and prognostic biomarkers associated with race-specific methylation driven genes have yet to be identified. The objective of this study was to explore DNA methylation patterns in endometrial tumor samples from White and Black women.

methodsDifferentially methylated CpGs (DMCs) and differentially methylated regions (DMRs) were identified in White tumor samples compared to Black tumor samples using Endometrial Carcinoma (EC) methylation and clinical data from The Cancer Genome Atlas (TCGA). Survival analysis was performed using survival R package and results were visualized using Kaplan-Meier plots. To access the correlation between changes in methylation and gene expression, we downloaded raw RNA-sequencing by Expectation-Maximization (RSEM) counts data from The Cancer Genome Atlas (TCGA) using TCGABiolinks package (v2.18.0).

resultsOur analysis revealed 704 differentially methylated CpGs in tumors from Black and White women. These differentially methylated genes showed strong negative correlation with gene expression and statistically significant enrichment in regulatory regions such as DNase I hypersensitivity sites (DHSs) and transcription factor binding sites (TFBSs). Increased variability in methylation occurred in genes such as the insulin signaling pathway in Black tumor samples.

conclusionBy using two independent statistical method based on means (DMR, DMCs) and variances (DVCs) on the endometrial carcinoma TCGA data, we showed that endometrial tumors from Black women are hypomethylated and more hypervariable than tumors from White women. In-depth investigation of these methylation driven markers can aid in successful management of endometrial cancer disparities and improved overall survival in Black and White populations.

Indexed as

DNA MethylationEndometrial NeoplasmsBlack PeopleFemaleGene Expression Regulation, NeoplasticHumansWhite PeopleEndometrial cancerEnrichmentExpressionMethylation-driven markersRace

Identifiers

PMID36580834
PMCPMC10023328
OpenAlexW4313312158

What OpenQuestion holds

Textmetadata
LicenceTDM
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.