Evaluation of the expression of LINCOO475 and FOXO1 genes as tumor suppressor genes in breast cancer: Correlation of bioinformatics tools and experimental approaches
Farzaneh Motamedi , Mehri Khatami , Mohammad Mehdi Heidari , Mansoureh Azadeh , Negar Karami
{"title":"Evaluation of the expression of LINCOO475 and FOXO1 genes as tumor suppressor genes in breast cancer: Correlation of bioinformatics tools and experimental approaches","authors":"Farzaneh Motamedi , Mehri Khatami , Mohammad Mehdi Heidari , Mansoureh Azadeh , Negar Karami","doi":"10.1016/j.genrep.2024.101980","DOIUrl":null,"url":null,"abstract":"<div><p>Breast cancer is one of the most prevalent forms of malignancy in humans and is considered the most important life-threatening factor among women worldwide. Long non-coding RNAs (LncRNAs) are thought to be potential transcripts that regulate the expression of important genes in vital processes such as cell proliferation, apoptosis, survival, and oxidative stress. <em>LINC00475</em> is an important lncRNA and is located on 9q22.31 and its expression is regulated by p53. <em>FOXO1</em> gene is an important regulator in physiological processes such as cell maintenance and differentiation, stimulation of cell cycle arrest, and apoptosis. In this study, we focused on identifying a possible association between <em>FOXO1</em> and <em>LINC00475</em> expression levels in breast cancer. Bioinformatics expression and Microarray data analysis were utilized to find their potential role as novel biomarkers in breast cancer. The correlation of gene expression levels with the survival rate of patients was determined using GEPIA. <em>LINC00475</em> and <em>FOXO1</em> expression levels were validated using quantitative reverse transcription PCR (qRT-PCR) in 55 tumors and 40 normal tissues. Our experiments indicated a significant decrease in the expression level of <em>LINC00475</em> and <em>FOXO1</em> genes in tumor tissues compared to normal samples. Moreover, the specificity and sensitivity of all statistical criteria were significant between the two groups. Also, we revealed a positive relationship between <em>LINC00475</em> and <em>FOXO1</em> expression in tumor samples. Based on gene expression analysis and lncRNA data, it was shown that <em>LINC00475</em> and <em>FOXO1</em> could represent as potential diagnostic biomarkers for early diagnosis of breast cancer.</p></div>","PeriodicalId":12673,"journal":{"name":"Gene Reports","volume":null,"pages":null},"PeriodicalIF":1.0000,"publicationDate":"2024-07-14","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Gene Reports","FirstCategoryId":"1085","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S2452014424001031","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"GENETICS & HEREDITY","Score":null,"Total":0}
引用次数: 0
Abstract
Breast cancer is one of the most prevalent forms of malignancy in humans and is considered the most important life-threatening factor among women worldwide. Long non-coding RNAs (LncRNAs) are thought to be potential transcripts that regulate the expression of important genes in vital processes such as cell proliferation, apoptosis, survival, and oxidative stress. LINC00475 is an important lncRNA and is located on 9q22.31 and its expression is regulated by p53. FOXO1 gene is an important regulator in physiological processes such as cell maintenance and differentiation, stimulation of cell cycle arrest, and apoptosis. In this study, we focused on identifying a possible association between FOXO1 and LINC00475 expression levels in breast cancer. Bioinformatics expression and Microarray data analysis were utilized to find their potential role as novel biomarkers in breast cancer. The correlation of gene expression levels with the survival rate of patients was determined using GEPIA. LINC00475 and FOXO1 expression levels were validated using quantitative reverse transcription PCR (qRT-PCR) in 55 tumors and 40 normal tissues. Our experiments indicated a significant decrease in the expression level of LINC00475 and FOXO1 genes in tumor tissues compared to normal samples. Moreover, the specificity and sensitivity of all statistical criteria were significant between the two groups. Also, we revealed a positive relationship between LINC00475 and FOXO1 expression in tumor samples. Based on gene expression analysis and lncRNA data, it was shown that LINC00475 and FOXO1 could represent as potential diagnostic biomarkers for early diagnosis of breast cancer.
Gene ReportsBiochemistry, Genetics and Molecular Biology-Genetics
CiteScore
3.30
自引率
7.70%
发文量
246
审稿时长
49 days
期刊介绍:
Gene Reports publishes papers that focus on the regulation, expression, function and evolution of genes in all biological contexts, including all prokaryotic and eukaryotic organisms, as well as viruses. Gene Reports strives to be a very diverse journal and topics in all fields will be considered for publication. Although not limited to the following, some general topics include: DNA Organization, Replication & Evolution -Focus on genomic DNA (chromosomal organization, comparative genomics, DNA replication, DNA repair, mobile DNA, mitochondrial DNA, chloroplast DNA). Expression & Function - Focus on functional RNAs (microRNAs, tRNAs, rRNAs, mRNA splicing, alternative polyadenylation) Regulation - Focus on processes that mediate gene-read out (epigenetics, chromatin, histone code, transcription, translation, protein degradation). Cell Signaling - Focus on mechanisms that control information flow into the nucleus to control gene expression (kinase and phosphatase pathways controlled by extra-cellular ligands, Wnt, Notch, TGFbeta/BMPs, FGFs, IGFs etc.) Profiling of gene expression and genetic variation - Focus on high throughput approaches (e.g., DeepSeq, ChIP-Seq, Affymetrix microarrays, proteomics) that define gene regulatory circuitry, molecular pathways and protein/protein networks. Genetics - Focus on development in model organisms (e.g., mouse, frog, fruit fly, worm), human genetic variation, population genetics, as well as agricultural and veterinary genetics. Molecular Pathology & Regenerative Medicine - Focus on the deregulation of molecular processes in human diseases and mechanisms supporting regeneration of tissues through pluripotent or multipotent stem cells.