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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]

Objective: Multiple sclerosis (MS) is a progressing neurodegenerative disease marked by chronic central nervous system inflammation and degeneration.This study investigates gene expression profiles of T-box transcription factor TBX21 (T-bet), interferon-gamma (IFN-γ), and long non-coding RNA MEG3 in peripheral blood mononuclear cells (PBMCs) from treatment-naïve Relapsing-Remitting Multiple Sclerosis patients (RRMS), healthy controls, and RRMS patients on different Disease Modifying Therapies (DMTs). The aim is to understand the role of T-bet, IFN-γ, and MEG3 in MS pathogenesis and their potential as diagnostic and therapeutic targets. Results: Elevated T-bet expression is observed in treatment-naïve RRMS patients compared to healthy individuals. RRMS patients treated with Interferon beta-1alpha (IFNβ-1a) and fingolimod exhibit downregulated T-bet and MEG3 expression levels, respectively, with more pronounced effects in females. Healthy individuals show a moderate positive correlation between T-bet and MEG3 and between IFN-γ and T-bet. In RRMS patients treated with Glatiramer Acetate (GA), a strong positive correlation is observed between MEG3 and IFN-γ. Remarkably, RRMS patients treated with Dimethyl Fumarate (DMF) exhibit a significant positive correlation between T-bet and MEG3. These findings underscore the diagnostic potential of T-bet in RRMS, warranting further exploration of MEG3, T-bet, and IFN-γ interplay in RRMS patients. [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]

[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]