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Background: Gastric cancer (GC) is currently the fifth most common malignancy. Accumulating evidence has recently revealed that maladjustments of diverse long non-coding RNAs may play key roles in multiple genetic and epigenetic phenomena in GC. Long non-coding RNAs (lncRNAs), which are transcriptional products with more than 200 nucleotides, are a subset of non-coding RNAs. LncRNA LOWEG and lncRNA MINCR, as novel lncRNAs, may have roles in GC progression. Objective: This study aimed to examine the clinical and diagnostic significance of lncRNA LOWEG and lncRNA MINCR in GC. Methods: The qRT-PCR technique measured lncRNA LOWEG and lncRNA MINCR expression in GC tissues and matched adjacent marginal tissues. The association between clinicopathological parameters and the expression level of lncRNAs was evaluated. Furthermore, The ROC curve was plotted to assess the diagnostic power of lncRNA LOWEG and lncRNA MINCR as candidate biomarkers in gastric cancer patients. Results: We found that lncRNA LOWEG expression was downregulated in cancerous tissues compared to the adjacent marginal tissues (P-value < 0.0001). LncRNA MINCR expression was upregulated in cancerous tissues compared to adjacent marginal tissues (P-value < 0.0001). Downregulation of lncRNA LOWER and upregulation of lncRNA MINCR did not significantly correlate with clinicopathological parameters. ROC curve analysis showed that lncRNA LOWEG and lncRNA MINCR could be proposed as reliable diagnostic biomarkers in GC. Conclusion: The expression of the lncRNA LOWEG was reduced in tumoral tissues compared to the adjacent marginal tissues, and the expression of lncRNA MINCR increased in tumoral tissues. So, as a result, lncRNAs LOWEG and MINCR could be considered diagnostic biomarkers for GC. [ABSTRACT FROM AUTHOR]

Background: A critical role has been known for lncRNAs in the initiation and development of cancers. Therefore, lncRNAs have been reported as the possible biomarkers in relation to the diagnosis and therapy of malignancies. This project examined the change in CYTOR lncRNA expression in human cervical cancer samples as compared with adjacent healthy ones. Methods: We provided one hundred fifteen pairs of tumorous and adjacent healthy tissue specimens of cervical cancer patients. RNAs were isolated from tissue specimens and cDNAs were synthesized. We considered quantitative Real-time PCR (qRT-PCR) to examine the expression levels of CYTOR lncRNA. In addition, the biomarker activity of CYTOR and the associations between the lncRNA and clinicopathological characteristics were evaluated. Results: The significant increased expression of CYTOR was obtained in cancerous samples as compared with non-cancerous ones (P< 0.0001). A significant correlation was indicated between CYTOR expression and the squamous subtype of cervical cancer (p=0.046). The receiver operating characteristic (ROC) curve-related AUC (area under the curve), specificity, and sensitivity were calculated 0.88, 81.74%, and 80%, respectively, which may introduce CYTOR as a potential biomarker. Conclusions: CYTOR may be an effective oncogene and biomarker in cervical cancer cases given its increased expression in human cervical cancer tissues. [ABSTRACT FROM AUTHOR]

Gastric cancer is the fifth most frequent cancer worldwide and the fourth leading cause of death from cancer, a complex multifactorial neoplasm. LncRNAs are regulatory RNA molecules larger than 200 nucleotides, which can have profound effects on the oncogenic process of various types of cancer. Therefore, these molecules can be used as diagnostic and therapeutic biomarkers. This study aimed to determine the differences in BOK-AS1, FAM215A, and FEZF1-AS1 gene expression between tumor tissue and adjacent healthy non-tumor tissue of gastric cancer (GC) patients. In this study one hundred pairs of cancerous and non-cancerous marginal tissues were gathered. Next, RNA extraction and cDNA synthesis were achieved for all of the samples. Then, the qRT-PCR was performed to measure the expression of BOK-AS1, FAM215A and FEZF1-AS1 genes. All BOK-AS1, FAM215A and FEZF1-AS1 genes showed significantly increased expression in tumor tissues compared with non-tumor tissues. The outcome of the ROC analysis demonstrated that BOK-AS1, FAM215A, and FEZF1-AS1 may act as mean biomarkers with AUC of 0.7368, 0.7163 and 0.7115, specificity of 64%, 61% and 59%, and sensitivity of 74%, 70%, and 74% respectively. Based on the increased expression of the BOK-AS1, FAM215A and FEZF1-AS1 genes in GC patients, this study suggests that these genes may function as oncogenic factors. Furthermore, the mentioned genes can be considered as intermediate biomarkers for diagnosis and treatment of gastric cancer. In addition, no association between these genes and clinicopathological features was observed. [ABSTRACT FROM AUTHOR]

lncRNAs play a crucial role in the carcinogenesis process. Thus, they have been recognized as the potential therapeutic and diagnostic biomarkers of cancers. This study assessed the alteration in the expression of APOC1P1-3 lncRNA in cancerous tissues compared to their adjacent non-tumorous tissues sampled from cervical cancer patients. one hundred fifteen pairs of cancerous and adjacent non-cancerous biopsy of cervical cancer specimens were collected. RNA isolation and cDNA synthesis were carried out. The qRT-PCR was used to assess the changes in the expression of APOC1P1-3 lncRNA. Moreover, the biomarker function of the lncRNA and the correlations between APOC1P1-3 and clinicopathological parameters were measured. The APOC1P1-3 expression was significantly increased in cervical cancer specimens as compared to adjacent non-tumorous specimens (p < 0.0001). A significant association was also observed between APOC1P1-3 expression and lymph node involvement (p = 0.031). Additionally, APOC1P1-3 expression demonstrated a significant association with the depth of tumor invasion (p = 0.035), and squamous type of cervical cancer (p = 0.019). The overexpression of APOC1P1-3 was significantly observed in patients younger than 50 years old as compared to another age group (p = 0.033). The results of ROC curve exhibited that APOC1P1-3 with area under the curve (AUC), specificity, and sensitivity of 0.96, 93.91%, and 78.26%, respectively can be considered as a potential biomarker. Regarding overexpression of APOC1P1-3 in human cervical cancer samples, this lncRNA may be considered as an oncogenic factor in cervical cancer patients. Besides, APOC1P1-3 may be a possible biomarker for the diagnosis and treatment of cervical cancer patients. [ABSTRACT FROM AUTHOR]

Gastric cancer (GC), is a complex multifactorial neoplasm with a high mortality and prevalence rate all over the world. Hence, it is necessary to identify the multiple pathways that are previously unknown and are involved in its initiation and progression. Recently, it has become clear that long non-coding RNAs (lncRNAs) play a crucial role in the onset and spread of cancer. The current study assessed the lncRNAs PCAT1, PCAT2, and PCAT5 expression in primary gastric tumors and adjacent noncancerous tissues. 90 pairs of GC and adjacent noncancerous tissue samples were obtained. Total RNA was extracted, then cDNA was synthesized. Using quantitative reverse transcriptase PCR (qRT-PCR), PCAT1, PCAT2, and PCAT5 expression levels were evaluated. Using the SPSS statistical package, the correlation between clinicopathological characteristics and the expression of PCAT1, PCAT2, and PCAT5 was investigated. The diagnostic value of PCAT1, PCAT2, and PCAT5 in GC was assessed using the receiver operating characteristic (ROC) curve analysis. Compared to surrounding non-cancerous tissues, PCAT1, PCAT2, and PCAT5 were all significantly overexpressed in tumoral tissues (P = 0.001, P = 0.019, and P = 0.0001, respectively). PCAT5 expression was significantly associated with gender (P = 0.020), according to our research. The ROC curve's findings indicated that PCAT1, PCAT2, and PCAT5 may each function as poor diagnostic biomarkers, with respective AUC values of 64 %, 60 %, and 68 %, specificity values of 68 %, 60 %, and 76 %, and sensitivity values of 55 %, 72 %, and 52 %. Our research suggested that PCAT1, PCAT2, and PCAT5 may be engaged in promoting and developing GC cells as a novel oncogene because of the increased expression of PCAT1, PCAT2 and PCAT5 in tumor tissues of GC patients. Additionally, PCAT1, PCAT2, and PCAT5 can be thought of as poor diagnostic biomarkers for GC case detection. [ABSTRACT FROM AUTHOR]

[Display omitted] Brain metastasis (BM) is the most common event in patients with lung cancer. Despite multimodal treatments and advances in systemic therapies, development of BM remains one of the main factors associated with poor prognosis and mortality in patients with lung cancer. Therefore, better understanding of mechanisms involved in lung cancer brain metastasis (LCBM) is of great importance to suppress cancer cells and to improve the overall survival of patients. Several cancer-related genes such as EGFR and KRAS have been proposed as potential predictors of LCBM. In addition, there is ample evidence supporting crucial roles of non-coding RNAs (ncRNAs) in mediating LCBM. In this review, we provide comprehensive information on risk assessment, predictive, and prognostic panels for early detection of BM in patients with lung cancer. Moreover, we present an overview of LCBM molecular mechanisms, cancer driver genes, and ncRNAs which may predict the risk of BM in lung cancer patients. Recent clinical studies have focused on determining mechanisms involved in LCBM and their association with diagnosis, prognosis, and treatment outcomes. These studies have shown that alterations in EGFR , KRAS, BRAF , and ALK , as the most frequent coding gene alterations, and dysregulation of ncRNAs such as miR-423, miR-330–3p, miR-145, piR-651, and MALAT1 can be considered as potential biomarkers of LCBM. • Approximately 40% of patients with lung cancer develop brain metastasis. • Brain metastasis is associated with poorer prognosis and worse survival in patients with lung cancer. • Identification of suitable biomarkers and therapeutic targets for lung cancer brain metastasis improves clinical outcomes. • Coding gene alterations and dysregulation of non-coding RNAs can be used as predictors of lung cancer brain metastasis. [ABSTRACT FROM AUTHOR]