ArticleJournal of ovarian research2020
Long non-coding RNA AOC4P suppresses epithelial ovarian cancer metastasis by regulating epithelial-mesenchymal transition.
Article in Journal of ovarian research, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.
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Who cites it
13 citing papers in PubMed, 25 citations in OpenAlex.
- Article
- Glioma-Associated Mesenchymal Stromal/Stem Cells Derived Exosomal miR-191 Promotes the Proneural-to-Mesenchymal Transition in Glioblastoma Cells via PTEN/PI3K/AKT Signaling.International journal of nanomedicine · 2025Article
- Crosstalk between lncRNAs and Wnt/β-catenin signaling pathways in lung cancers: From cancer progression to therapeutic response.Non-coding RNA research · 2024Review
- Article
- The roles of long non-coding RNAs in ovarian cancer: from functions to therapeutic implications.Frontiers in oncology · 2024Review
- The Role of EMT-Related lncRNAs in Ovarian Cancer.International journal of molecular sciences · 2023Review
- Prognostic value of the ferroptosis-related geneFrontiers in genetics · 2022Article
- Silencing of the long noncoding RNA LINC01132 alleviates the oncogenicity of epithelial ovarian cancer by regulating the microRNA‑431‑5p/SOX9 axis.International journal of molecular medicine · 2021Article
- SP1-induced lncRNA DANCR contributes to proliferation and invasion of ovarian cancer.The Kaohsiung journal of medical sciences · 2021Article
- Non-Coding RNAs as Biomarkers of Tumor Progression and Metastatic Spread in Epithelial Ovarian Cancer.Cancers · 2021Review
- Insights Into the Regulation of Gynecological Inflammation-Mediated Malignancy by Metalloproteinases.Frontiers in cell and developmental biology · 2021Review
- Ovarian Cancer and Pregnancy-A Current Problem in Perinatal Medicine: A Comprehensive Review.Cancers · 2020Review
- Long non-coding RNA PTPRG-AS1 promotes cell tumorigenicity in epithelial ovarian cancer by decoying microRNA-545-3p and consequently enhancing HDAC4 expression.Journal of ovarian research · 2020Article
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 1 country.
Funding
Abstract
objectiveCurrently, the function and mechanisms of long non-coding RNAs (lncRNAs) involved in the metastasis of epithelial ovarian cancer (EOC), especially those of the lncRNAs participated in the epithelial-mesenchymal transition (EMT) process, remains largely unknown. Here, we focused on a lncRNA named AOC4P and analysed its role in EOC. MATERIALS AND
methodsThe expression of AOC4P gene was examined with quantitative real-time quantitative PCR (qRT-PCR). The cell migration and invasion were detected by Transwell and scratch assays. The in vivo metastatic activity was evaluated by intraperitoneal metastasis model. The downstream genes were investigated by a tumour EMT real-time polymerase chain reaction (RT-PCR) array, and validated by qRT-PCR and Western blot.
resultsThe results showed that AOC4P expression levels were decreased in EOC tissues and cell lines, and that the under-expression of AOC4P was positively correlated with FIGO stage and lymph node metastasis. Furthermore, the knockdown of AOC4P expression in poorly metastatic EOC cell lines remarkably facilitated cell migration/invasion while the overexpression of AOC4P in highly metastatic EOC cell lines reduced the metastatic ability of these cells in vitro. Consistently, the anti-metastatic role of AOC4P in vivo was also verified by bioluminescence imaging and tumour dissection. Mechanistically, the anti-metastatic effect of AOC4P in EOC was partially mediated by the EMT process accompanied by the alterations in MMP9 and COL1A2 expression.
conclusionThese data highlight that AOC4P plays a critical role in EOC invasion/metastasis and could function as a novel and effective target for the lncRNA-based anti-metastatic clinical management of EOC.
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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 Socratic graph.