Aberrant expression of CHL1 gene and long non-coding RNA CHL1-AS1, CHL1-AS2 in ovarian endometriosis
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This paper investigated the expression patterns of the CHL1 gene and its associated long non-coding RNAs CHL1-AS1 and CHL1-AS2 in ovarian endometriosis.
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Abstract
Objective(s)CHL1 (close homologue of L1 or cell adhesion molecule L1 like), also referred as CALL, is a member of the L1 gene family of neural cell adhesion molecules and belongs to immunoglobulin superfamily. This study aims to investigate the potential correlation of the CHL1 gene and the long non-coding RNAs (lncRNAs), i.e., CHL1-AS1 and CHL1-AS2, and to validate the expression patterns of CHL1 and CHL1-AS2 in ovarian endometriosis (EM).Study designOur previous microarray analyses (GSE86534) of 4 patients with ovarian EM indicated that CHL1 was the most upregulated mRNA in ectopic endometrium (EC) compared with eutopic endometrium (EU) tissues, and that its two antisense lncRNAs CHL1-AS1 and CHL1-AS2, exhibited the same expression pattern. We used a bioinformatics-based strategy to calculate the correlation among CHL1, CHL1-AS1 and CHL1-AS2. Gene set enrichment analysis (GSEA) was performed to analyze commonly enriched gene sets for CHL1-AS1 and CHL1-AS2. Using quantitative real-time polymerase chain reaction (qPCR), we examined the expression levels of CHL1 mRNA and lncRNA CHL1-AS2 in paired tissues of EC and EU from 30 EM patients and normal endometrium (NE) tissues from 27 controls using quantitative real-time polymerase chain reaction (qPCR). We also examined the expression of CHL1 protein in EC, EU and NE tissues using western blotting and immunohistochemistry (IHC).ResultsCHL1, CHL1-AS1 and CHL1-AS2 were significantly correlated with each other given that the Pearson correlation values were > 0.9 using bioinformatic calculation. GSEA revealed that CHL1-AS1 and CHL1-AS2 were negatively associated with the same gene set "WAMUNYOKOLI_OVARIAN_CANCER_LMP". qPCR confirmed that the CHL1 and CHL1-AS2 expression levels were significantly higher in EC tissues than in EU and NE tissues, while they were not significantly different in EU compared with NE tissues. The relative expression levels of CHL1 and CHL1-AS2 in EC compared with EU tissues were positively significantly correlated (Pearson correlation coefficient = 0.421 and P value = 0.02). Elevated expression of CHL1 protein in EC tissues was detected by western blotting. IHC revealed that CHL1 protein expression levels enhanced in ectopic endometrial glands and stroma.Conclusion(s)Our results indicate a significant correlation among CHL1, CHL1-AS1 and CHL1-AS2, which might be involved in the development of ovarian EM and serve as novel targets for future research.
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Cited by (16)
- Molecular links in endometriosis pathogenesis as targets for diagnosis and targeted therapy: a review 2025
- ECM1 promotes migration and invasion in endometriosis 2023
- Macrophages and small extracellular vesicle mediated-intracellular communication in the peritoneal microenvironment: Impact on endometriosis development 2023
- A comprehensive overview of exosome lncRNAs: emerging biomarkers and potential therapeutics in endometriosis 2023
- LncRNA IGF2-AS promotes endometriosis progression through targeting miR-370-3p/IGF2 axis and activating PI3K/AKT/mTOR signaling pathway 2022
- Exosomal lncRNA CHL1-AS1 Derived from Peritoneal Macrophages Promotes the Progression of Endometriosis via the miR-610/MDM2 Axis 2021
- The Role of Long Non-Coding RNAs in Endometriosis 2021
- An integration analysis of mRNAs and miRNAs microarray data to identify key regulators for ovarian endometriosis based on competing endogenous RNAs 2020
- microRNA and Overcoming the Challenges of Their Use in the Diagnosis of Endometriosis 2020
- Role of Non-coding RNAs in the Pathogenesis of Endometriosis 2020
- Endometriosis 2020
- Long noncoding RNAs in endometriosis: Biological functions, expressions, and mechanisms 2020
- LINC01018 and SMIM25 sponged miR-182-5p in endometriosis revealed by the ceRNA network construction 2020
- RNA sequencing‐based long non‐coding RNA analysis and immunoassay in ovarian endometriosis 2020
- Circulating non-coding RNAs as non-invasive diagnostic markers of endometriosis: a comprehensive meta-analysis 2019
- Progress in understanding the relationship between long noncoding RNA and endometriosis 2019
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