A putative competing endogenous RNA network in cisplatin-resistant lung adenocarcinoma cells identifying potentially rewarding research targets

A prognostic model based on tumor microenvironment-related lncRNAs predicts therapy response in pancreatic cancer

Pancreatic cancer is an aggressive malignant tumor with high mortality and a low survival rate. The immune and stromal cells that infiltrate in the tumor microenvironment (TME) significantly impact immunotherapy and drug responses. Therefore, we identify the TME-related lncRNAs to develop a prognostic model for predicting the therapy efficacy in pancreatic cancer patients. Firstly, we identified differentially expressed genes (DEGs) for weighted gene co-expression network analysis (WGCNA) to identify the TME-related module eigengenes. According to the module eigengenes, the TME-related prognostic lncRNAs were screened through the univariate Cox, least absolute shrinkage and selection operator (LASSO), and multivariate Cox analyses to construct a prognostic risk score (RS) model. Next, the predictive power of this model was evaluated by the time-dependent receiver operating characteristic (ROC) curve and Kaplan-Meier analyses. In addition, functional enrichment, immune cell infiltration, and somatic mutation analyses were performed. Finally, tumor immune dysfunction and exclusion (TIDE) score and drug sensitivity analyses were applied to predict therapy response. In this study, 11 TME-related prognostic lncRNAs were identified to develop the prognostic RS model. According to the RS, the low-risk patients had a better prognosis, lower rates of somatic mutation, lower TIDE scores, and higher sensitivity to gemcitabine and paclitaxel compared to high-risk patients. The findings above suggested that low-risk patients may benefit more from immunotherapy, and high-risk patients may benefit more from chemotherapy. Within this study, we established a prognostic RS model based on 11 TME-related lncRNAs, which may help improve clinical decision-making.

DNMT3B regulates proliferation of A549 cells through the microRNA-152-3p/NCAM1 pathway

The purpose of the present study was to examine the epigenetic mechanism by which microRNA (miR)-152-3p regulates proliferation in non-small cell lung cancer A549 cells via neural cell adhesion molecule 1 (NCAM1). Bisulfite sequencing PCR (BSP), the gold standard for methylation detection, uses bisulfite-treated DNA to determine its pattern of methylation. Treatment of DNA with bisulfite converts cytosine residues to uracil, but leaves 5-methylcytosine residues unaffected. It was conducted and demonstrated a relatively high level of methylation in the miR-152-3p promoter region. Chromatin immunoprecipitation was combined with PCR to detect the binding of DNA methyltransferase 3B (DNMT3B) protein to miR-152-3p, which tends to occur in the core region of the miR-152-3p gene in A549 cells. Luciferase assay identified NCAM1 as the target gene of miR-152-3p. MTT, colony formation and Transwell assays indicated that miR-152-3p could decrease cell proliferation and invasion and in addition to reducing the expression level of NCAM1. Overexpression of NCAM1 could attenuate the effect of miR-152-3p. DNMT3B knockdown decreased the proliferative ability of A549 cells and increased the expression of miR-152-3p, while decreased that of NCAM1. After treatment with miR-152-3p inhibitor, these effects were attenuated and the NCAM1 expression level was upregulated. The results indicated that miR-152-3p may suppress the proliferation of A549 cells by downregulating NCAM1. In addition, DNMT3B negatively regulated the expression of miR-152-3p via modulation of the methylation level in the miR-152-3p core region, thus mediating the proliferation of lung tumor cells.

An Overview of Long Non-Coding (lnc)RNAs in Neuroblastoma

Neuroblastoma (NB) is a heterogeneous developmental tumor occurring in childhood, which arises from the embryonic sympathoadrenal cells of the neural crest. Although the recent progress that has been done on this tumor, the mechanisms involved in NB are still partially unknown. Despite some genetic aberrations having been identified, the sporadic cases represent the majority. Due to its wide heterogeneity in clinical behavior and etiology, NB represents a challenge in terms of prevention and treatment. Since a definitive therapy is lacking so far, there is an urgent necessity to unveil the molecular mechanisms behind NB onset and progression to develop new therapeutic approaches. Long non-coding RNAs (lncRNAs) are a group of RNAs longer than 200 nucleotides. Whether lncRNAs are destined to become a protein or not, they exert multiple biological functions such as regulating gene expression and functions. In recent decades, different research has highlighted the possible role of lncRNAs in the pathogenesis of many diseases, including cancer. Moreover, lncRNAs may represent potential markers or targets for diagnosis and treatment of diseases. This mini-review aimed to briefly summarize the most recent findings on the involvement of some lncRNAs in NB disease by focusing on their mechanisms of action and possible role in unveiling NB onset and progression.