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Mechanisms and anti-tumor effects were tested in MCF-10AT cells and PBL model rats, with NEAT1, miR-383-5p, miR-9-5p, MMP-9, and VEGF-A assessed by RT-qPCR, Western blot, and immunohistochemistry. Results: Trend genes formed a ceRNA network, with NEAT1 and related markers downregulated in breast tumor cells; EU suppressed cell growth and modulated these expression patterns in vitro and in vivo. Conclusion: EU may reduce PBL-associated VEGF-A and MMP-9 via NEAT1-mediated miR-383-5p and miR-9-5p.",{"@graph":14,"@context":73},[15,34,56],{"@type":16,"itemListElement":17},"BreadcrumbList",[18,23,27,31],{"item":19,"name":20,"@type":21,"position":22},"https://docshare.wps.com","Home","ListItem",1,{"item":24,"name":25,"@type":21,"position":26},"https://docshare.wps.com/document/","Document",2,{"item":28,"name":29,"@type":21,"position":30},"https://docshare.wps.com/document/research-report/","Research & 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\njournal [homepage:](homepage: www.cell.com/heliyon)[ www.cell.com/heliyon](homepage: www.cell.com/heliyon)  \n| Research article\u003Cbr>Eugenol inhibits NEAT1 as a ceRNA in pre-cancerous breast lesions\u003Cbr>Yusheng Liu a,b,1, Guijuan Zhang b,1, Yi Mac, Min Mab,**, Xuefeng Jiang a,b,*\u003Cbr>a Department of Traditional Chinese Medicine, Yangjiang People’s Hospital, Yangjiang, Guangdong, 529525, China b College of Traditional Chinese Medicine, Jinan University, Guangzhou, Guangdong, 510515, China\u003Cbr>c Institute of Biomedicine and Department of Cellular Biology, Jinan University, Guangzhou, Guangdong, 510515, China |  |  |\n| --- | --- | --- |\n| A R T I C L E I N F O |  | A B S T R A C T |\n| Keywords: Eugenol\u003Cbr>Pre-cancerous breast lesion NEAT1\u003Cbr>ceRNAmiR-383-5p\u003Cbr>miR-9-5p |  | Objective: Eugenol (EU) from cloves is highly effective against different tumors. The long noncoding ribonucleic acids (lncRNAs), which play a role of competing endogenous RNAs (ceRNAs), suppress microRNAs (miRNAs) involved in post-transcriptional regulatory networks. The present work focused on analyzing how EU affected pre-cancerous breast lesions (PBL).\u003Cbr>Methods: Initially, the gene expression profiles of patients (n = 880) in the National Center for Biotechnology Information (NCBI) database were analyzed. Further, we established a lncRNAmiRNA-mRNA ceRNA network through bioinformatics analysis and investigated mechanistic roles of lncRNAs as ceRNAs and the anti-tumor effect of EU using MCF-10AT cells in vitro as well as PBL model rats in vivo. Besides, Nuclear Paraspeckle Assembly Transcript 1 (NEAT1), miR-383- 5p, miR-9-5p, matrix metalloproteinase-9 (MMP-9), and vascular endothelial growth factor-A (VEGF-A) expression was examined through quantitative reverse transcription polymerase chain reaction (RT-qPCR), Western blotting, and immunohistochemical staining analyses. Results: There were altogether 1162 mRNAs, 81 miRNAs, and 26 lncRNAs recognized as trend genes in breast cancer (BC) and pre-cancerous BC (pBC), constructing the ceRNA network using 3 lncRNAs, 3 miRNAs, and 38 mRNAs. It was observed that NEAT1, miR-383-5p, miR-9-5p, VEGFA, and MMP-9 were downregulated in breast tumor cells in accordance with bioinformatics analysis. EU suppressed MCF-10AT cell growth, decreasing the NEAT1, VEGF-A, and MMP-9 levels and increasing miR-383-5p and miR-9-5p expressions in vitro and in vivo.\u003Cbr>Conclusion: In summary, the EU reduced the VEGF-A and MMP-9 expressions via NEAT1-mediated miR-383-5p and miR-9-5p against PBL, indicating that the EU may be a promising external drug to act against PBL. |\n\n1. Introduction  \nBreast cancer (BC) has emerged as a dreadful gynecological cancer globally [1]. In line with GLOBOCAN 2018 statistics, about 2, 088,849 (11.6 %) newly diagnosed BC patients and 626,679 (6.6 %) associated death cases were recorded, accounting for 24.2 % of the overall cancer patients and 15 % of cancer-associated mortality in women [2]. Numerous studies revealed that changes in oncogenes or  \n* Corresponding author. No.42, Dongshan Road, Jiangcheng District, Yangjiang, Guangdong, 529525, China.  \n** Corresponding author. No.42, Dongshan Road, Jiangcheng District, Yangjiang, Guangdong, 529525, China.  \nE-mail addresses: [tmamin@jnu.edu.cn](tmamin@jnu.edu.cn) (M. Ma), [Jiangxuefeng93@163.com](Jiangxuefeng93@163.com) (X. Jiang).  \n1 These authors contributed equally to this work.  \n[https://doi.org/10.1016/j.heliyon.2024.e41353](https://doi.org/10.1016/j.heliyon.2024.e41353)  \nReceived 8 August 2024; Received in revised form 17 December 2024; Accepted 18 December 2024 Available online 19 December 2024  \n2405-8440/© 2024 Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license  \n([http://creativecommons.org/licenses/by-nc-nd/4.0/](http://creativecommons.org/licenses/by-nc-nd/4.0/)).  \ntumor suppressor genes could facilitate BC tumorigenesis and progr","cbCaijffRRJ7MeaX","https://ap.wps.com/l/cbCaijffRRJ7MeaX","pdf",8641644,16,"English","# Introduction\n# Materials and Methods\n## Bioinformatics analysis\n## In vitro experiments\n## In vivo experiments\n## Expression assessment (RT-qPCR, Western blot, immunohistochemistry)\n# Results\n# Conclusion","[{\"question\":\"What is the main objective of this study on Eugenol?\",\"answer\":\"To determine how Eugenol influences pre-cancerous breast lesions by examining its role in a NEAT1-centered ceRNA regulatory mechanism.\"},{\"question\":\"How were the ceRNA networks constructed and analyzed?\",\"answer\":\"Gene expression profiles from patients (n=880) in the NCBI database were analyzed, and a lncRNA-miRNA-mRNA ceRNA network was built using bioinformatics approaches.\"},{\"question\":\"What effects does Eugenol have on NEAT1 and downstream targets?\",\"answer\":\"Eugenol suppresses MCF-10AT cell growth and decreases NEAT1, VEGF-A, and MMP-9 levels while increasing miR-383-5p and miR-9-5p in vitro and in vivo.\"}]","Eugenol inhibits NEAT1 as a ceRNA in pre-cancerous breast lesions | PDF",1789994854]