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    Bioinformatic analysis of regulatory relation between MALAT1 lncRNA and its related microRNAs in breast cancer and studying MALAT1 lncRNA expression in breast carcinoma tissues

  • Razieh Heidari Ahmadi,1,*
    1. Department of Genetics, Faculty of Advanced Sciences and Technology, Tehran Medical Sciences, Islamic Azad University, Tehran, Iran


  • Introduction: Breast cancer is known as a heterogeneous disease that has different biological and phenotypic features and these factors have made the diagnosis and treatment of this disease challenging. The role of non-coding RNAs has been proven to be an important factor in growth and development of tumor; up-regulation of many of them has been reported in various types of cancer. Misregulation of non-coding RNAs such as Long non-coding RNA (lncRNA) and microRNAs has been reported in breast cancer. Some types of lncRNA molecules can inhibit the function of microRNA molecules by sponging them, thus they regulated gene expression. This study evaluated the expression of MALAT1 LncRNA and related microRNAs in breast cancer after bioinformatics analysis of the regulatory relationship between MALAT1 LncRNA and one of the candidate miRNAs, miR-125b, in breast carcinoma tissue samples.
  • Methods:  This study consisted of two parts: bioinformatics and laboratory. In the bioinformatics section, the relationship between MALAT1 LncRNA and related microRNAs in breast cancer was investigated and after data mining, the regulatory relationship between MALAT1 and some miRNAs, including miR-125b, was identified. In the practical part, after RNA extraction, cDNA synthesis, the expression of MALA1 lncRNA and miR-125b in breast tumor tissue samples was compared to the paired adjacent normal samples by real-time PCR.  
  • Results:  The results of this study showed the up-regulation of long non-coding RNA in MALAT1 in tumor tissue samples compared to non-tumor samples (*** P <0.001). There was also a significant down-regulation of miR-125b expression levels in breast tumor specimens (*** P <0.001). The inverse expression link between the long non-coding RNA of MALAT1 and its regulated microRNA, miR-125b, indicates a regulatory link between them in breast carcinoma. Also, there was a correlation between the expression levels of these non-coding RNAs and the clinical and pathological features of the disease, such as disease progression and HER2 activity status.  
  • Conclusion: The regulatory relationship between MALAT1 lncRNA and miR-125b with up-regulation of MALAT1 and down-regulation of miR-125b was proved in this study. It seems that these two non-coding RNAs can have biomarker capabilities in the diagnosis of breast cancer.  
  • Keywords: Breast carcinoma, Non-coding long RNA, Micro RNA, Diagnostic biomarker