Breast cancer is a molecularly heterogeneous disease which necessitates a search for markers to provide a more specific classification of this disorder. Long noncoding RNAs as the important subset of noncoding transcripts have been shown to be involved in tumorigenic processes. So, they may be used as markers for early detection of cancer and evaluation of cancer prognosis. In addition, they can be applied as therapeutic targets. In this study, we analyzed expression of four long noncoding RNAs (lncRNAs) namely SOX2OT, PTPRG-AS1, ANRASSF1, and ANRIL in 38 breast cancer tissues and their adjacent noncancerous tissues (ANCTs). ANRASSF1 expression was not detected in any noncancerous tissue. All lncRNAs showed significant overexpression in tumor tissues compared with ANCTs. No association was found between gene expressions and individual clinical data such as tumor stage, grade, size and hormone receptor status except for ANRASSF1 expression and Her2/neu status. In addition, ANRASSF1 and ANRIL expressions were significantly higher in triple negative samples. This study suggests a putative role for these lncRNAs in breast cancer and implies that they can be used as potential cancer biomarkers.
Our data provide the first evidence for the association of miR-146a rs2910164 and TCF21 rs12190287 with CAD in an Iranian population, encouraging further research to elucidate the disease-related effects of miR-146a rs2910164.
Long non-coding RNAs (lncRNA) constitute a significant percentage of RNAs with no translation to proteins. Their participation in fundamental aspects of cell physiology as well as their dysregulation in a number of pathologic conditions such as cancer have been documented. Among lncRNAs is actin filament associated protein 1 antisense RNA1 (AFAP1-AS1) whose elevated expression levels have been demonstrated in different cancers. In the in the present study we evaluated expression levels of AFAP1-AS1 and its antisense protein coding gene AFAP1 in breast cancer samples compare with adjacent non-cancerous tissues (ANCTs) as well as breast cancer cell lines with special focus on the assessment of the association between their transcript levels and patients' clinicopathological data. AFAP1-AS1 has shown significant up-regulation in both MDA-MB-231 and MCF-7 compared with control sample. AFAP1-AS1 has been shown to be expressed in all of tumor tissues but 76% (39 out of 51) ANCTs. AFAP1 expression was not significantly different between tumor samples and ANCTs. AFAP1-AS1 has been demonstrated to be significantly up-regulated in tumor tissues compared with ANCTs (fold change = 4.65, P= 0.028). No significant correlation has been detected between the levels of these two transcripts in tumor tissues (R=2 0.081) or ANCTs (R=2 0.115). No significant associations have been found between expression levels of these genes and patients' characteristics. However, both genes were significantly down-regulated in Ki-67 negative tumor samples. The observed up-regulation of AFAP1-AS1 in tumor samples compared with ANCTs implies its involvement in breast cancer pathogenesis and potentiates it as a biomarker or therapeutic target.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.