Evidence map›Paper›PMID 35641855›Full record

ArticleReproductive sciences (Thousand Oaks, Calif.)2022

Differential Expression of Super-Enhancer-Associated Long Non-coding RNAs in Uterine Leiomyomas.

Tsai-Der Chuang, Derek Quintanilla, Drake Boos, Omid Khorram

Open access · hybridAbstract read
In one paragraph

Article in Reproductive sciences (Thousand Oaks, Calif.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
2.1field-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

19 citing papers in PubMed, 22 citations in OpenAlex.

  1. Article
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  4. Review
  5. Article
  6. Article
  7. Differential Expression of Small Non-Coding RNAs in Uterine Leiomyomas.International journal of molecular sciences · 2025
    Article
  8. The in vivo effects of knockdown of long non-coding RNA XIST on fibroid growth and gene expression.FASEB journal : official publication of the Federation of American Societies for Experimental Biology · 2024
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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

4 authors at 1 institution in 1 country.

Tsai-Der ChuangDepartment of Obstetrics and Gynecology, Harbor-UCLA Medical Center and The Lundquist Institute, Torrance, CA, 90502, USA.
Derek QuintanillaDepartment of Obstetrics and Gynecology, Harbor-UCLA Medical Center and The Lundquist Institute, Torrance, CA, 90502, USA.
Drake BoosDepartment of Obstetrics and Gynecology, Harbor-UCLA Medical Center and The Lundquist Institute, Torrance, CA, 90502, USA.
Omid KhorramDepartment of Obstetrics and Gynecology, Harbor-UCLA Medical Center and The Lundquist Institute, Torrance, CA, 90502, USA. okhorram@lundquist.org.ORCID 0000-0003-4996-5762
UCLA Medical Center · US

Funding

Tryptophan metabolism and its role in fibroid pathogenesisR01HD109286 · NICHD · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI OMID A. KHORRAM · 2022 to 2026
$1.9M
Mechanism of Long Non-coding RNAs Action in leiomyomaR01HD100529 · NICHD · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI KHORRAM, OMID A. · 2020 to 2023
$1.7M
Function of Long Non-Coding RNA MD1 in Leiomyoma PathogenesisR03HD101852 · NICHD · LUNDQUIST INSTITUTE FOR BIOMEDICAL INNOVATION AT HARBOR-UCLA MEDICAL CENTER · PI KHORRAM, OMID A. · 2021 to 2022
$154k
NICHD NIH HHS R01 HD100529NICHD NIH HHS R01 HD109286NICHD NIH HHS R03 HD101852
6 · The paper itself

Abstract

Super-enhancer-associated long non-coding RNAs (SE-lncRNAs) are a specific set of lncRNAs transcribed from super-enhancer (SE) genomic regions. Recent studies have revealed that SE-lncRNAs play essential roles in tumorigenesis through the regulation of oncogenes. The objective of this study was to elucidate the expression profile of SE-lncRNAs with concurrent assessment of associated mRNAs in leiomyomas and paired myometrium. Arraystar SE-lncRNAs arrays were used to systematically profile the differentially expressed SE-lncRNAs along with the corresponding SE-regulated protein coding genes in eight leiomyomas and paired myometrium. The analysis indicated 7680 SE-lncRNAs were expressed, of which 721 SE-lncRNAs were overexpressed, while 247 SE-lncRNAs were underexpressed by 1.5-fold or greater in leiomyoma. Thirteen novel SE-lncRNAs and their corresponding protein coding genes were selected, and their expression was confirmed in eighty-one paired leiomyoma tissues by quantitative real-time PCR. The thirteen pairs of SE-lncRNAs and their corresponding protein coding genes included RP11-353N14.2/CBX4, SOCS2-AS1/SOCS2, RP1-170O19.14/HOXA11, CASC15/PRL, EGFLAM-AS1/EGFLAM, RP11-225H22/NEURL1, RP5-1086K13.1/CD58, AC092839.3/SPTBN1, RP11-69I8.3/CTGF, TM4SF1-AS1/TM4SF1, RP11-373D23/FOSL2, RP11-399K21.11/COMTD1, and CTB-113P19.1/SPARC. Among these SE-lncRNAs, the expression of SOCS2-AS1/SOCS2, RP11-353N14.2/CBX4, RP1-170O19.14/HOXA11, and RP11-225H22/NEURL1 was significantly higher in African Americans as compared with Caucasians. The expression of RP11-353N14.2/CBX4, SOCS2-AS1/SOCS2, CASC15/PRL, and CTB-113P19.1/SPARC was significantly higher in tumors with MED12-mutation-positive as compared with MED12-mutation-negative tumors. Collectively, our results indicate that the differential expression of SE in leiomyomas is another mechanism contributing to dysregulation of protein coding genes in leiomyomas and that race and MED12 mutation can influence the expression of a select group of SE.

Indexed as

LeiomyomaRNA, Long NoncodingFemaleHumansLigasesMutationMyometriumPolycomb-Group ProteinsRNA, MessengerCBX4 protein, humanLigasesPolycomb-Group ProteinsRNA, Long NoncodingRNA, MessengerFibroidLeiomyomaMED12 mutationRaceSE-lncRNA

Identifiers

PMID35641855
PMCPMC9537225
OpenAlexW4281735298

What OpenQuestion holds

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Registered trials

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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.