Evidence map›Paper›PMID 27288544›Full record

ArticleGynecologic oncology2016

Association between differential gene expression and body mass index among endometrial cancers from The Cancer Genome Atlas Project.

Dario R Roque, Liza Makowski, Ting-Huei Chen, Naim Rashid, D Neil Hayes, Victoria Bae-Jump

Abstract read
In one paragraph

Article in Gynecologic oncology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
4.4field-weighted citation impact, top 6% 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

20 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.

  1. Pooled it
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  8. mCell biology and toxicology · 2023
    Article
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  11. Cancers · 2021
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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

6 authors at 2 institutions in 2 countries.

Dario R RoqueDivision of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, United States; Lineberger Comprehensive Cancer Center, Chapel Hill, NC, United States.
Liza MakowskiLineberger Comprehensive Cancer Center, Chapel Hill, NC, United States; Department of Nutrition, University of North Carolina, Chapel Hill, NC, United States.
Ting-Huei ChenDepartment of Mathematics & Statistics, Laval University, Québec, Canada.
Naim RashidDivision of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, United States; Department of Biostatistics, University of North Carolina, Chapel Hill, NC, United States.
D Neil HayesLineberger Comprehensive Cancer Center, Chapel Hill, NC, United States; Division of Hematology & Oncology, University of North Carolina, Chapel Hill, NC, United States.
Victoria Bae-JumpDivision of Gynecologic Oncology, University of North Carolina, Chapel Hill, NC, United States; Lineberger Comprehensive Cancer Center, Chapel Hill, NC, United States. Electronic address: victoria_baejump@med.unc.edu.
University of North Carolina at Chapel Hill · USUniversité Laval · CA

Funding

UNC-CH CENTER FOR ENVIRONMENTAL HEALTH &SUSCEPTIBILITYP30ES010126 · NIEHS · UNIV OF NORTH CAROLINA CHAPEL HILL · PI Melissa A. Troester · 2001 to 2026
$36.3M
UNIV OF NORTH CAROLINA CLINICAL NUTRITION RESEARCH UNITP30DK056350 · NIDDK · UNIV OF NORTH CAROLINA CHAPEL HILL · PI SUSAN M. SMITH · 1999 to 2026
$31.6M
Metformin as a Novel Chemotheraeutic Strategy for the Treatment of Endometrial CaK23CA143154 · NCI · UNIV OF NORTH CAROLINA CHAPEL HILL · PI BAE-JUMP, VICTORIA LIN · 2010 to 2014
$854k
NCI NIH HHS K23 CA143154NIDDK NIH HHS P30 DK056350NIEHS NIH HHS P30 ES010126
6 · The paper itself

Abstract

objectiveThe Cancer Genome Atlas (TCGA) identified four integrated clusters for endometrial cancer (EC): POLE, MSI, CNL and CNH. We evaluated differences in gene expression profiles of obese and non-obese women with EC and examined the association of body mass index (BMI) within the clusters identified in TCGA.

methodsTCGA RNAseq data was used to identify genes related to increasing BMI among ECs. The POLE, MSI and CNL clusters were composed mostly of endometrioid EC. Patient BMI was compared between these three clusters with one-way ANOVA. Association between gene expression and BMI was also assessed while adjusting for confounding effects of potential confounding factors. p-Values testing the association between gene expression and BMI were adjusted for multiple hypothesis testing over the 20,531 genes considered.

resultsMean BMI was statistically different between the ECs in the CNL (35.8) versus POLE (29.8) cluster (p=0.006) and approached significance for the MSI (33.0) versus CNL (35.8) cluster (p=0.05). 181 genes were significantly up- or down-regulated with increasing BMI in endometrioid EC (q-value<0.01), including LPL, IRS-1, IGFBP4, IGFBP7 and the progesterone receptor. DAVID functional annotation analysis revealed significant enrichment in "cell cycle" (adjusted p-value=1.5E-5) and "DNA metabolic processes" (adjusted p-value=1E-3) for the identified genes.

conclusionsObesity related genes were found to be upregulated with increasing BMI among endometrioid ECs. Patients with POLE tumors have the lowest median BMI when compared to MSI and CNL. Given the heterogeneity among endometrioid EC, consideration should be given to abandoning the Type I and II classification of EC tumors.

Indexed as

Body Mass IndexCarcinoma, EndometrioidDatabases, GeneticEndometrial NeoplasmsFemaleGene Expression Regulation, NeoplasticGenomicsHumansMiddle AgedObesityTranscriptomeUp-Regulation

Identifiers

PMID27288544
PMCPMC4961559
OpenAlexW2410360575

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.