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

A novel cancer-associated lncRNA, LINC01123, participates in tumor progression, metabolism, immune escape, and resistance

Long Intergenic Non-Protein Coding RNA 1123 (LINC01123), located on human chromosome 2q13, is a pivotal factor in tumorigenesis, exerting multifaceted oncogenic effects. Its expression strongly correlates with clinicopathological features, patient survival, and disease progression. In vivo and in vitro experiments further demonstrate that LINC01123 influences diverse cellular processes, including proliferation, apoptosis, viability, migration, invasion, stemness, and tumor growth. Notably, it also regulates metabolic reprogramming, immune escape, and tumor cell resistance to treatment. LINC01123 is regulated by multiple transcription factors and participates in gene regulation through protein interactions and competitive endogenous RNA (ceRNA) networks, thereby modulating cancer-promoting effects. This work systematically elucidates its primary functions and molecular mechanisms driving cancer initiation and progression, suggesting that LINC01123 might serve as a novel potential oncogenic driver and biomarker in various cancers.

Establishment of potential lncRNA-related hub genes involved competitive endogenous RNA in lung adenocarcinoma

Long non-coding RNAs (lncRNAs) have a notable role in the diagnosis and prognosis of cancer. However, the associations between lncRNA-related hub genes (LRHGs) expression and the corresponding outcomes have not been fully understood in lung adenocarcinoma (LUAD). Here, a total of 71 patients diagnosed with LUAD and 60 healthy volunteers at The First Affiliated Hospital of Huzhou University from April, 2023 to December, 2023 were enrolled in the present study. A LRHGs model was established using least absolute shrinkage and selection operator analyses of The Cancer Genome Atlas-LUAD datasets. The underlying mechanisms of the LRHGs were investigated via Gene Set Enrichment Analysis and Gene Set Variation Analysis. Additionally, the diagnostic role of serum HOXD cluster antisense RNA 2 (HOXD-AS2) was assessed by receiver operating characteristic (ROC) curve analysis. Lastly, TCGA-LUAD samples were divided into high- and low-HOXD-AS2 expression groups based on the median expression. The associations between HOXD-AS2 expression and miR-4538 as well as Calmodulin-Dependent Protein Kinase Type II subunit Beta (CAMK2B) levels were conducted through Pearson correlation analysis. A comprehensive analysis identified 141 differentially expressed lncRNAs between 539 LUAD tissues and 59 normal samples. A prognostic marker for overall survival was established by constructing a predictive signature consisting of 9 LRHGs. Subsequently, 474 LUAD samples were categorized into a high or low-risk group based on the median of the risk score. An independent prognostic model was constructed to confirm the validity of this categorization. Further comparisons of the clinicopathological features and LRHG-related pathways were performed between the two groups. Examinations of LRHG expression in two LUAD clusters and of the association between LRHG expression and immune infiltration were also conducted. HOXD-AS2 expression was shown to be elevated in LUAD tissues compared with matched normal tissues, and the serum HOXD-AS2 level was also notably increased in LUAD samples compared with healthy controls. The results of the ROC analysis indicated that the sensitivity and specificity of HOXD-AS2 were higher than that of cytokeratin-19 fragment (CYFRA21-1), which is a serum marker for LUAD. Pearson analyses indicated that miR-4538 level was negatively associated with HOXD-AS2 expression, but CAMK2B level showed positive correlation in LUAD. The results of the present study therefore indicated that the constructed LRHG model, particularly HOXD-AS2, could independently diagnose and predict the prognosis of LUAD, which suggested the underlying mechanism of the HOXD-AS2/miR-4538/CAMK2B, and might offer efficient strategies for LUAD treatment.

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.