Evidence map›Paper›PMID 32835719›Full record

ArticleAmerican journal of obstetrics and gynecology2021

Endometrial biomarkers in premenopausal women with obesity: an at-risk cohort.

Joseph A Dottino, Qian Zhang, David S Loose, Bryan Fellman, Brenda D Melendez, Mikayla S Borthwick, Laurie J McKenzie, Ying Yuan, Richard K Yang, Russell R Broaddus and 3 more

Open access · greenAbstract read
In one paragraph

Article in American journal of obstetrics and gynecology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
0.8field-weighted citation impact, top 22% 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

7 citing papers in PubMed, 13 citations in OpenAlex.

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

13 authors at 3 institutions in 1 country.

Joseph A DottinoDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX.
Qian ZhangDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX.
David S LooseDepartment of Integrative Biology and Pharmacology, University of Texas Health Science Center at Houston, Houston, TX.
Bryan FellmanBiostatistics, University of Texas MD Anderson Cancer Center, Houston, TX.
Brenda D MelendezDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX.
Mikayla S BorthwickDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX.
Laurie J McKenzieDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX.
Ying YuanBiostatistics, University of Texas MD Anderson Cancer Center, Houston, TX.
Richard K YangDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX.
Russell R BroaddusDepartment of Pathology and Laboratory Medicine, University of North Carolina School of Medicine, Chapel Hill, NC.
Karen H LuDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX.
Pamela T SolimanDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX.
Melinda S YatesDepartments of Gynecologic Oncology and Reproductive Medicine, University of Texas MD Anderson Cancer Center, Houston, TX. Electronic address: msyates@mdanderson.org.
The University of Texas MD Anderson Cancer Center · USThe University of Texas Health Science Center at Houston · USUniversity of North Carolina at Chapel Hill · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Targeting the PI3K Signaling Pathway in Endometrial CarcinomaP50CA098258 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI BROADDUS, RUSSELL R · 2003 to 2020
$32.0M
Training of Academic Gynecologic OncologistsT32CA101642 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI ANIL K SOOD, Kathleen Schmeler · 2005 to 2026
$9.2M
CRR LIGAND ASSAY AND ANALYSIS CORER24HD102061 · NICHD · UNIVERSITY OF VIRGINIA · PI HAISENLEDER, DANIEL J. · 2019 to 2023
$2.2M
NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA098258NCI NIH HHS T32 CA101642NICHD NIH HHS R24 HD102061
6 · The paper itself

Abstract

backgroundObesity is a well-known risk factor for endometrial cancer, but the mechanisms of obesity-related carcinogenesis are not well defined, particularly for premenopausal women. With the continuing obesity epidemic, increases in the incidence of endometrial cancer and a younger age of diagnosis are often attributed to a hyperestrogenic state created by hormone production in adipose tissue, but significant knowledge gaps remain. The balance of estrogen-responsive signals has not been defined in the endometrium of premenopausal women with obesity, where obesity may not create hyperestrogenism in the context of ovaries being the primary source of estrogen production. Obesity is associated with a state of low-grade, chronic inflammation that can promote tumorigenesis, and it is also known that hormonal changes alter the immune microenvironment of the endometrium. However, limited research has been conducted on endometrial immune-response changes in women who have an increased risk for cancer due to obesity.

objectiveEndometrial estrogen-regulated biomarkers, previously shown to be dysregulated in endometrial cancer, were evaluated in a cohort of premenopausal women to determine if obesity is associated with differences in the biomarker expression levels, which might reflect an altered risk of developing cancer. The expression of a multiplexed panel of immune-related genes was also evaluated for expression differences related to obesity. STUDY

designPremenopausal women with a body mass index of ≥30 kg/m

resultsIn addition to known systemic metabolic differences, histologically normal endometria from women with obesity showed a decrease in gene expression of progesterone receptor (P=.0027) and the estrogen-induced genes retinaldehyde dehydrogenase 2 (P=.008), insulin-like growth factor 1 (P=.016), and survivin (P=.042) when compared with women without obesity. The endometrial biomarkers insulin-like growth factor 1, survivin, and progesterone receptor remained statistically significant in multivariate linear regression models. In contrast, women with obesity and Lynch syndrome had an increased expression of insulin-like growth factor 1 (P=.017). There were no differences in endometrial proliferation, and limited endometrial immune differences were observed.

conclusionWhen comparing premenopausal women with and without obesity in the absence of endometrial pathology or an inherited cancer risk, the expression of the endometrial biomarkers does not reflect a local hyperestrogenic environment, but it instead reflects a decreased cancer risk profile that may be indicative of a compensated state. In describing premenopausal endometrial cancer risk, it may be insufficient to attribute a high-risk state to obesity alone; further studies are warranted to evaluate individualized biomarker profiles for differences in the hormone-responsive signals or immune response. In patients with Lynch syndrome, the endometrial biomarker profile suggests that obesity further increases the risk of developing cancer.

Indexed as

AdultBiomarkersCohort StudiesCross-Sectional StudiesEndometrial NeoplasmsEndometriumEstrogensFemaleHumansObesityPremenopauseRisk FactorsBiomarkersEstrogensendometrial cancerLynch syndromeobesitypremenopausalprevention

Identifiers

PMID32835719
PMCPMC7897335
OpenAlexW3080711565

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.