Evidence map›Paper›PMID 26423601›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2016

Proteoglycans in Leiomyoma and Normal Myometrium: Abundance, Steroid Hormone Control, and Implications for Pathophysiology.

Nichole M Barker, David A Carrino, Arnold I Caplan, William W Hurd, James H Liu, Huiqing Tan, Sam Mesiano

Abstract read
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
2.6field-weighted citation impact, top 11% 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

11 citing papers in PubMed, 22 citations in OpenAlex.

  1. Trial
  2. Review
  3. Article
  4. Decorin: matrix-based pan-cancer tumor suppressor.Molecular and cellular biochemistry · 2025
    Review
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Recent Advances in Uterine Fibroid Etiology.Seminars in reproductive medicine · 2017
    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

7 authors at 2 institutions in 1 country.

Nichole M BarkerDepartment of Obstetrics and Gynecology, University Hospitals Case Medical Center, Cleveland, OH, USA Seattle Reproductive Medicine, North Seattle, WA, USA.
David A CarrinoSkeletal Research Center, Department of Biology, Case Western Reserve University, Cleveland, OH, USA Department of Chemistry, Case Western Reserve University, Cleveland, OH, USA.
Arnold I CaplanSkeletal Research Center, Department of Biology, Case Western Reserve University, Cleveland, OH, USA.
William W HurdDepartment of Obstetrics and Gynecology, University Hospitals Case Medical Center, Cleveland, OH, USA Duke Fertility Center, Durham, NC, USA.
James H LiuDepartment of Obstetrics and Gynecology, University Hospitals Case Medical Center, Cleveland, OH, USA Department of Reproductive Biology, Case Western Reserve University, Cleveland, OH, USA.
Huiqing TanDepartment of Reproductive Biology, Case Western Reserve University, Cleveland, OH, USA.
Sam MesianoDepartment of Obstetrics and Gynecology, University Hospitals Case Medical Center, Cleveland, OH, USA Department of Reproductive Biology, Case Western Reserve University, Cleveland, OH, USA sam.mesiano@case.edu.
University Hospitals Case Medical Center · USCase Western Reserve University · US

Funding

Bone Marrow MSCs/Pericytes: Gatekeepers Controlling Skeletal Metastasis.R01CA163562 · NCI · CASE WESTERN RESERVE UNIVERSITY · PI CAPLAN, ARNOLD IRWIN · 2012 to 2016
$1.6M
NCI NIH HHS 1R01CA163562-01NCI NIH HHS R01 CA163562
6 · The paper itself

Abstract

Uterine leiomyoma are a common benign pelvic tumors composed of modified smooth muscle cells and a large amount of extracellular matrix (ECM). The proteoglycan composition of the leiomyoma ECM is thought to affect pathophysiology of the disease. To test this hypothesis, we examined the abundance (by immunoblotting) and expression (by quantitative real-time polymerase chain reaction) of the proteoglycans biglycan, decorin, and versican in leiomyoma and normal myometrium and determined whether expression is affected by steroid hormones and menstrual phase. Leiomyoma and normal myometrium were collected from women (n = 17) undergoing hysterectomy or myomectomy. In vitro studies were performed on immortalized leiomyoma (UtLM) and normal myometrial (hTERT-HM) cells with and without exposure to estradiol and progesterone. In leiomyoma tissue, abundance of decorin messenger RNA (mRNA) and protein were 2.6-fold and 1.4-fold lower, respectively, compared with normal myometrium. Abundance of versican mRNA was not different between matched samples, whereas versican protein was increased 1.8-fold in leiomyoma compared with myometrium. Decorin mRNA was 2.4-fold lower in secretory phase leiomyoma compared with proliferative phase tissue. In UtLM cells, progesterone decreased the abundance of decorin mRNA by 1.3-fold. Lower decorin expression in leiomyoma compared with myometrium may contribute to disease growth and progression. As decorin inhibits the activity of specific growth factors, its reduced level in the leiomyoma cell microenvironment may promote cell proliferation and ECM deposition. Our data suggest that decorin expression in leiomyoma is inhibited by progesterone, which may be a mechanism by which the ovarian steroids affect leiomyoma growth and disease progression.

Indexed as

AdultCell Line, TransformedCell Line, TumorDecorinEstradiolFemaleHumansLeiomyomaMiddle AgedMyometriumProgesteronePromegestoneProteoglycansUterine NeoplasmsDCN protein, humanDecorinEstradiolProgesteronePromegestoneProteoglycansleiomyomaproteoglycanssteroid hormones

Identifiers

PMID26423601
PMCPMC5933092
OpenAlexW2298062885

What OpenQuestion holds

Textmetadata
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.