Evaluation of the Expression Level of Some Coding and Non-coding Genes in Breast Cancer Samples Based on Bioinformatics and Laboratory Studies.
Background: Breast cancer (BC) is the leading cause of cancer-associated mortality in women worldwide. However, the molecular mechanism underlying the process is still unclear. In this regard, bioinformatics studies play a decisive role in facilitating the path of biological investigations and can u...
| Publicado en: | International Journal of Cancer Management Vol. 17; no. 1; pp. 1 - 13 |
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| Autores principales: | , , , , , , , |
| Formato: | research tables/charts Journal Article |
| Publicado: |
Medical Journals Commission of the Ministry of Health & Medical Education
Dec2024
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=182175703&site=ehost-live header: @attributes: shortDbName: ccm uiTerm: 182175703 longDbName: CINAHL Complete uiTag: AN controlInfo: bkinfo: dissinfo: jinfo: jid: 25384422 L6AI jtl: International Journal of Cancer Management issn: 25384422 maglogo: N pubinfo: dt: Dec2024 vid: 17 iid: 1 pid: 66482 pub: Medical Journals Commission of the Ministry of Health & Medical Education artinfo: ui: 182175703 182175703 182175703 10.5812/ijcm-138413 182175703 ppf: 1 ppct: 12 formats: fmt: @attributes: type: P tig: atl: Evaluation of the Expression Level of Some Coding and Non-coding Genes in Breast Cancer Samples Based on Bioinformatics and Laboratory Studies. aug: au: Rostamnejad, Elmira Rashidi, Ronak Akbari, Zohreh Maghsoudloo, Mazaher Hashemi, Mehrdad Razavi, Amirnader Emami Entezari, Maliheh Sadeghizadeh, Majid affil: Department of Genetics, Faculty of Advanced Science and Technology, Tehran Medical Science, Islamic Azad University, Tehran, Iran sug: subj: Gene Expression Evaluation RNA Metabolism MicroRNA Metabolism Breast Neoplasms Familial and Genetic Bioinformatics Evaluation Human Iran Male Female Adult Middle Age Aged Tumor Markers, Biological Adult: 19-44 years Middle Aged: 45-64 years Aged: 65+ years Male Female ab: Background: Breast cancer (BC) is the leading cause of cancer-associated mortality in women worldwide. However, the molecular mechanism underlying the process is still unclear. In this regard, bioinformatics studies play a decisive role in facilitating the path of biological investigations and can ultimately lead to the identification of better molecular candidates for further study. Objectives: Due to the abnormal expression of many coding and non-coding genes in all types of cancers and their relationship with various mechanisms of carcinogenesis, this study aimed at evaluating the expression levels of certain coding and non-coding genes involved in BC based on bioinformatics findings and laboratory investigations. Methods: Gene expression dataset, module extraction, functional enrichment analysis, protein-protein interaction network construction, and RT-qPCR were performed based on bioinformatics methods and laboratory investigations. Additionally, the promoter region mutations of these genes were investigated, using sequencing of extracted DNAs from formalin-fixed paraffin-embedded (FFPE) tumor tissues. Results: A module was selected as a candidate for further investigation. Estrogen receptor 1 (ESR1) and forkhead box Al (FOXA1) showed the highest degrees in the PPI network with 9 and 7 links, respectively. Furthermore, the expression levels of the FOXA1 gene, RNA component of mitochondrial RNA processing endoribonuclease (RMRP), and nuclear enriched abundant transcript 1 (NEAT1) were significantly upregulated in the tumor group compared to the control group (in order, P = 0.044, P = 0.014, and P = 0.0004). The tumors of patients with positive metastasis displayed significantly higher levels of NEAT1 and RMRP expression compared to those of negative metastasis samples (P < 0.05). Moreover, the expression level of RMRP dramatically decreased in HER2-positive patients compared to negative samples (P = 0.011). Finally, no mutations were observed in the promoter sequencing of positive metastasis samples compared to normal samples. Conclusions: The upregulation levels of all three examined genes may correlate with BC progression. Therefore, they could potentially be used as biomarkers for detecting BC development. pubtype: Academic Journal doctype: research tables/charts Journal Article ougenre: Article language: English refInfo: holdings: @attributes: islocal: N |
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