Evidence map›Paper›PMID 40725045›Full record

ArticleInternational journal of molecular sciences2025

Comparative Analysis of Differentially Expressed Long Non-Coding RNA in Pre- and Postmenopausal Fibroids.

Tsai-Der Chuang, Shawn Rysling, Nhu Ton, Daniel Baghdasarian, Omid Khorram

Abstract readComparative Study
In one paragraph

Article in International journal of molecular sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Transcriptomic and functional analysis of fibroid extracellular vesicles.Clinical science (London, England : 1979) · 2026
    Article
  5. 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

5 authors.

Tsai-Der ChuangThe Lundquist Institute for Biomedical Innovation, Torrance, CA 90502, USA.ORCID 0000-0003-1195-7054
Shawn RyslingThe Lundquist Institute for Biomedical Innovation, Torrance, CA 90502, USA.ORCID 0009-0003-5899-0449
Nhu TonThe Lundquist Institute for Biomedical Innovation, Torrance, CA 90502, USA.
Daniel BaghdasarianDepartment of Obstetrics and Gynecology, Harbor-UCLA Medical Center, Torrance, CA 90509, USA.
Omid KhorramThe Lundquist Institute for Biomedical Innovation, Torrance, CA 90502, USA.ORCID 0000-0003-4996-5762

Funding

NIH HHS HD100529NIH HHS HD109286
6 · The paper itself

Abstract

Uterine fibroids (leiomyomas) are benign tumors whose growth is influenced by estrogen and progesterone. This study aimed to compare the profiles of differentially expressed long non-coding RNAs (lncRNAs) in fibroids from postmenopausal and premenopausal women to identify hormone-responsive lncRNAs. RNA sequencing was performed on six pairs of fibroid (Fib) and adjacent myometrium (Myo) tissues from postmenopausal women. Out of 7876 normalized lncRNAs, 3684 were differentially expressed (≥1.5-fold), with 1702 upregulated and 1982 downregulated in Fib. Comparative analysis with a previously published premenopausal dataset identified 741 lncRNAs that were altered based on their menopausal status, including 62 lncRNAs that were uniquely dysregulated in postmenopausal samples. Overall, 9 lncRNAs were selected for validation by PCR in an expanded cohort of 31 postmenopausal and 84 premenopausal paired samples. Several lncRNAs, including

Indexed as

Gene Expression Regulation, NeoplasticLeiomyomaPostmenopausePremenopauseRNA, Long NoncodingUterine NeoplasmsAdultFemaleGene Expression ProfilingHumansMiddle AgedRNA, Long NoncodingfibroidLncRNAMED12postmenopausalsteroids

Identifiers

PMID40725045
PMCPMC12295379

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.