Volume 36, Issue 256 (4-2026)
J Mazandaran Univ Med Sci 2026, 36(256): 25-41 |
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Kazemi M, Peymani M, Behmanesh M, Ghasemi R. Identification of lncRNA LINC02747 as a Novel Potential Biomarker for Breast Cancer. J Mazandaran Univ Med Sci 2026; 36 (256) :25-41
URL: http://jmums.mazums.ac.ir/article-1-22603-en.html
URL: http://jmums.mazums.ac.ir/article-1-22603-en.html
Abstract: (230 Views)
Background and purpose: Breast cancer (BC) is the leading cause of cancer-related mortality among women worldwide. Consequently, the early identification of breast cancer is crucial for improving patient survival, and biomarkers represent promising tools for achieving this objective. This study aims to identify long non-coding RNAs (lncRNAs) associated with breast cancer as potential prognostic biomarkers, given their significant role in cancer pathogenesis.
Materials and methods: This experimental study analyzed gene expression data from the TCGA database, identified differentially expressed mRNAs, miRNAs, and lncRNAs, and constructed a competing endogenous RNA (ceRNA) network to identify potential biomarkers associated with the diagnosis and prognosis of breast cancer. The expression of the target lncRNA in MCF-7 and HEK293T cell lines was examined to validate the bioinformatics findings.
Results: Analysis of TCGA data revealed that LINC02747 expression, which showed the strongest interactions with other miRNAs and mRNAs identified within the ceRNA network, was upregulated in breast cancer. Furthermore, according to the ceRNA network, hsa-miR-195-5p and ten mRNAs- CCNB1, CCNB2, CCNA2, PLK1, CDC6, CDC20, CDC45, BUB1B, CDT1, and ESPL1- were linked to the aforementioned lncRNA, with decreased microRNA expression and increased mRNA expression. The RT-qPCR analysis validated these bioinformatics findings. ROC analysis indicated that LINC02747 is a highly promising biomarker for breast cancer.
Conclusion: The elevated expression of LINC02747 may function as a molecular biomarker for breast cancer, potentially through sponging hsa-miR-195-5p, thereby enhancing the expression of target mRNAs involved in carcinogenesis.
Materials and methods: This experimental study analyzed gene expression data from the TCGA database, identified differentially expressed mRNAs, miRNAs, and lncRNAs, and constructed a competing endogenous RNA (ceRNA) network to identify potential biomarkers associated with the diagnosis and prognosis of breast cancer. The expression of the target lncRNA in MCF-7 and HEK293T cell lines was examined to validate the bioinformatics findings.
Results: Analysis of TCGA data revealed that LINC02747 expression, which showed the strongest interactions with other miRNAs and mRNAs identified within the ceRNA network, was upregulated in breast cancer. Furthermore, according to the ceRNA network, hsa-miR-195-5p and ten mRNAs- CCNB1, CCNB2, CCNA2, PLK1, CDC6, CDC20, CDC45, BUB1B, CDT1, and ESPL1- were linked to the aforementioned lncRNA, with decreased microRNA expression and increased mRNA expression. The RT-qPCR analysis validated these bioinformatics findings. ROC analysis indicated that LINC02747 is a highly promising biomarker for breast cancer.
Conclusion: The elevated expression of LINC02747 may function as a molecular biomarker for breast cancer, potentially through sponging hsa-miR-195-5p, thereby enhancing the expression of target mRNAs involved in carcinogenesis.
Type of Study: Research(Original) |
Subject:
Biology
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