Evidence map›Paper›PMID 38549702›Full record

ArticleGynecologic oncology reports2024

Differences in single gene expression patterns and signaling pathways between Black and White patients in high grade endometrioid endometrial cancer independent of BMI.

Janina Pearce, Caitlin Durr, Xufeng Qu, Jinze Liu, Leslie Randall, Devin Miller, Sadia Sayeed, Victoria Bae-Jump, Stephanie Sullivan

Open access · goldAbstract read
In one paragraph

Article in Gynecologic oncology reports, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
0.6field-weighted citation impact, top 34% 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

1 citing paper in PubMed, 1 citations in OpenAlex.

  1. circRNAs in Endometrial Cancer-A Promising Biomarker: State of the Art.International journal of molecular sciences · 2024
    Review
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 1 institution in 1 country.

Janina PearceDepartment of Obstetrics & Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University Health System, United States.
Caitlin DurrDepartment of Obstetrics & Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University Health System, United States.
Xufeng QuDepartment of Biostatistics, Virginia Commonwealth University Health System, United States.
Jinze LiuDepartment of Biostatistics, Virginia Commonwealth University Health System, United States.
Leslie RandallDepartment of Obstetrics & Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University Health System, United States.
Devin MillerDepartment of Obstetrics & Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University Health System, United States.
Sadia SayeedDepartment of Pathology, Virginia Commonwealth University Health System, United States.
Victoria Bae-JumpLineberger Cancer Center, University of North Carolina Medical Center, United States.
Stephanie SullivanDepartment of Obstetrics & Gynecology, Division of Gynecologic Oncology, Virginia Commonwealth University Health System, United States.
Virginia Commonwealth University · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: Endometrial cancer (EC) incidence and mortality are increasing with striking racial disparities. Race and obesity are known risk factors for EC, however, their relationship and impact on tumor biology in higher grade endometrioid EC are unclear. The objective of this pilot study was to identify gene- and pathway-level changes in tumors from Black patients compared to White, both in general and in the context of dichotomized BMI. Methods: A single institution retrospective convenience sample was obtained for grade 2 or 3 endometrioid EC, equally distributed amongst Black and White patients. Tumor samples were analyzed with the Tempus Laboratories xT NGS-based genome profiling test. DESeq2 was applied to identify differentially expressed genes, and then subjected to ingenuity pathway analysis (IPA). Continuous variables were analyzed using unpaired t-tests, and categorical using Chi-squared and Fisher exact tests. Results: 39 representative cases were identified and analyzed from 2006 to 2021. Baseline clinicopathologic characteristics were similar. 157 genes were differentially expressed in tumors from Black patients compared to White regardless of BMI. IPA identified 81 significantly different pathways between Black and White patients with a BMI < 40 kg/m Conclusion: Differences in gene expression and pathway activation in EC exist between race and BMI, which highlights the need for further research to better understand the implications of these differences on endometrioid EC progression, outcomes, and treatment in this historically underserved patient population.

Indexed as

Body mass indexDisparitiesEndometrial cancerIngenuity pathway analysisRace

Identifiers

PMID38549702
PMCPMC10972843
OpenAlexW4392511079

What Socratic holds

Textmetadata
LicenceCC BY-NC-ND
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 Socratic graph.