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.
Multiple sclerosis (MS) is a chronic immune-mediated disorder of the central nervous system (CNS) with multiple genetic and environmental risk factors. Long non-coding RNAs (lncRNAs) have been recently reported to participate in the regulation of immune responses. Consequently, aberrant expression of lncRNAs has been suggested as an underlying cause of MS. In the present study, we evaluated the expression of three lncRNAs with putative roles in the regulation of immune response, namely TNF-α and heterogeneous nuclear ribonucleoprotein L (THRIL), Fas cell surface death receptor- antisense 1 (FAS-AS1), and plasmacytoma variant translocation 1 (PVT1) in circulating blood cells of 50 Iranian relapsing-remitting multiple sclerosis (RRMS) patients compared with healthy subjects by means of quantitative real-time polymerase chain reaction (PCR). We detected a significant downregulation of PVT1 and FAS-AS1 expressions in RRMS patients while a significant upregulation of THRIL in patients compared with controls (P < 0.001). Correlation analyses between lncRNA expression levels and clinical data of MS patients revealed no significant correlation between lncRNAs expression levels and Expanded Disability Status Scale (EDSS), a moderate correlation between PVT1 expression levels and duration of the disorder and no significant correlation between lncRNAs expression levels and age at onset. In addition, we demonstrated correlations between the expression levels of PVT1 and THRIL as well as expression levels of THRIL and FAS-AS1 in RRMS patients. In brief, we have demonstrated dysregulation of three lncRNAs in MS patients. Further studies are needed to explore the exact mechanisms by which these lncRNAs participate in regulation of immune responses.
Background: Long non coding RNAs (lncRNAs) are of functional non coding RNAs which have been shown to be involved in several important pathways in cancer development and progression. Among them is Hox transcript antisense intergenic RNA (HOTAIR) whose overexpression has been detected in several cancer types. In addition, its functional polymorphisms have been shown to be associated with breast cancer risk in certain populations. Objectives: The aim of the present study was to investigate the effects of three HOTAIR polymorphisms (rs12826786, rs1899663 and rs4759314) and their haplotypes on breast cancer risk in a sample of Iranian population. Methods: This study is a case-control study which consisted of 122 unrelated breast cancer patients from Hamadan University hospital and 200 normal females who were referred to a routine health survey in 2015. Genomic DNA was extracted from blood samples of all participants using the standard salting out method. Tetra-primer ARMS-PCR method was used for analyses of rs12826786, rs1899663, and rs4759314 genotypes. Comparison of genotype and allele frequency between the breast cancer patients and the control group was performed using Pearson chi-square test considering odds ratio (OR) and 95% confidence intervals (CI) for calculation of the relative risk. Haplotype frequencies for HOTAIR were calculated using SNPStats online program. Results: No significant difference has been found in allele and genotype frequencies of polymorphisms between case and control groups. Furthermore, no specific HOTAIR haplotype was shown to be associated with breast cancer risk in the analyzed population. Conclusions: These polymorphisms do not seem to be associated with breast cancer risk in this population. However, further research is needed to evaluate the results of the present study in larger patient samples.
Hypoxia-inducible factors (HIFs) have been shown to be upregulated in tumor tissues and linked with tumor progression and metastasis in breast cancer. Among regulatory mechanisms for HIF expression is a natural occurring antisense named aHIF, which has been shown to be overexpressed in breast cancer and influence the level of the HIF-1α transcript. In the present study, we analyzed the expression of HIF-1α and aHIF in breast cancer tissues versus adjacent noncancer tissues (ANCTs) in relation with the clinical and biological behavior of the tumors. aHIF has been shown to be expressed in 67.4% of invasive ductal carcinoma samples, while none of ANCTs showed its expression. HIF-1α has been expressed in all of tumors and 90% of ANCTs. Comparison of HIF-1α expression level between tumor and ANCT tissues showed a total upregulation in tumor samples. No statistically significant association has been found between the level of HIF-1α expression in tumor samples and clinicopathologic and demographic characteristics such as age, tumor size, estrogen receptor status, progesterone receptor status, HER2/neu expression level, lymph node status, histological grade, and stage except for a weak correlation between HIF-1α expression and Ki-67 status. Besides, we could not detect any significant correlation between relative expression of HIF-1α and aHIF in tumor samples. Collectively, these data suggest that aHIF overexpression can be used as a potential biomarker in breast cancer. However, further studies are needed for the evaluation of its mechanism of action in regulation of HIF-1α expression in different pathological conditions. HIF-1α overexpression results in the upregulation of several genes that participated in cancer-associated pathways such as proliferation, angiogenesis, and glucose metabolism. We showed that HIF-1α is upregulated in breast tumor samples compared with adjacent noncancerous tissues. Its expression has been associated with Ki-67 status. Its natural occurring antisense is only expressed in tumor tissues. Thus, it can be used as a potential biomarker in breast cancer.
Stroke is an acute neurologic disorder which can be life-threatening if left untreated or diagnosed late. Various detecting techniques including neurologic imaging of the brain by computed tomography or magnetic resonance imaging can facilitate diagnosis of stroke. However, according to the recent advances in molecular detection techniques, new diagnostic and prognostic markers have emerged. Exosomes as an extra cellar particle are one of these markers which can have useful diagnostic, prognostic, and even therapeutic impact after stroke. We have previously discussed the role of exosomes in cardiovascular disease and in the present review we focus on the most common cerebrovascular disease. The aim of the present review is summarizing the recent diagnostic role of exosomes which are specifically secreted during a stroke and can guide clinicians to better diagnosis of stroke.
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