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.
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.
Collectively, out data show downregulation of lncRNA-ATB in a significant number of breast tumor tissues compared with ANCTs and imply that lncRNA-ATB might have distinct roles in the pathogenesis of different cancers or even different subtypes of a certain cancer which should be evaluated in future studies.
Background:Colon cancer-associated transcript 2 (CCAT2) is a newly recognized lncRNA transcribed from the 8q24 genomic region. It functions as an oncogene in various types of cancers including breast cancer, in which it affects Wnt/β-catenin pathway. Previous studies have shown a putative interaction between this lncRNA and MYC proto-oncogene.Methods:In the current study, we evaluated the expression of CCAT2 in breast cancer tissues with regards to the expression of its target MYC. In addition, we assessed the relationship between CCAT2 and MYC expression levels in tumor tissues and the clinical prognostic characteristics of breast cancer patients.Results:MYC expression levels were significantly up-regulated in tumor tissues compared with adjacent non-cancerous tissues (ANCTs), while such analysis showed no statistically significant difference between these two tissue types in CCAT2 expression. Starkly increased CCAT2 gene expression levels were found in 12/48 (25%) of cancer tissue samples compared with their corresponding ANCTs. Furthermore, significant inverse correlations were found between CCAT2 expression and stage, as well as lymph node involvement. Besides, a significant inverse correlation was found between the relative MYC expression in tumor tissues compared with their corresponding ANCTs and disease stage.Conclusions:These results highlight the significance of MYC and CCAT2 expressions in the early stages of breast cancer development and suggest a potentially significant role for CCAT2 in a subset of breast cancer patients, which could be applied as a potential therapeutic target in these patients.
Background: Aberrant activation of phosphatidylinositol-3 kinases (PI3K)/AKT/mTOR (mammalian target of rapamycin) pathway is a critical event during gastric cancer progression. Selective function of AKT inhibitor AZD5363 in PI3KCA mutant gastric cancer necessitates the assessment of PI3KCA mutations in these patients. Methods: The study included 100 patients with gastric cancer who underwent surgical resection at Imam Reza Hospital, Tehran, Iran, between January 2009 and December 2016. Mutations in codon 1047 of PIK3CA were evaluated by tetra-primer ARMS-PCR and direct sequencing methods. Results: We detected p.H1047R and p.H1047L in eight and three samples, respectively. Also, a significant association was found between PIK3CA mutations and lymphatic invasion. Kaplan-Meier analysis demonstrated no significant differences in overall survival between patients with and without mutations. Conclusion: Our study detected gain-of-function mutations in exon 20 of PI3KCA gene in 11% of gastric cancer patients. Future studies are needed to assess the mutation rate in other regions of this gene to find eligible patients for targeted therapies.
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