Investigation the metastatic long noncoding RNA as a biomarker to early detection of breast cancer

Introduction & Aim: Breast cancer (BC) is the second most common cause of cancer-related death amongst females. Although great advances have been made in the management of BC over the past decade, The molecular mechanisms are still unclear in BC. Thus, patient prognosis as well as elucidating the molecular mechanisms, are urgently required. Although less than 2% of the human genome encodes protein-coding genes, it has been revealed that at least 90% of the genome is actively transcribed. Recent genomic analyses identified a new class of RNA called long noncoding RNA (lncRNA), whose members are broadly defined as RNA molecules greater than 200 nucleotides in length. lncRNAs have emerged as potent regulators of BC development and progression, including the metastatic spread of disease.Methods: In this systematic review study, refered to bioinformatics techniques to investigate novel metastatic lncRNAs can be used as a reliable biomarker for early detection of breast cancer according to keywords: breast cancer, biomarker, lncRNA, metastatic and early detection in valid databases such as NCBI and Scopus the papers collected and then was ranking based on appropriate criteria.Results: he number of articles detected in our study was 52 that screened 14 of them were studied. After review, lncRNAs were investigated in the enricher pathway analysis database. In particular, 20 reliable lncRNAs such as HOTAIR, H19 and lncRNA-ATB have been selected as the metastatic lncRNAs panel of breast cancer.Conclusion: Based on the results, we have valuable metastatic lncRNAs as biomarkers for the early detection of breast cancer that we choose the exact treatment practices.