Unraveling the influence of LncRNA in gastric cancer pathogenesis: a comprehensive review focus on signaling pathways interplay

Preliminary Evaluation of Plasma circ_0009910, circ_0027478, and miR-1236-3p as Diagnostic and Prognostic Biomarkers in Hepatocellular Carcinoma

Circular RNAs (circRNAs) are increasingly recognized as significant regulators in multiple cancers, such as hepatocellular carcinoma (HCC), frequently affecting microRNA (miRNA) expression. The diagnostic and prognostic roles of circRNAs, specifically circ_0009910 and circ_0027478, in conjunction with miR-1236-3p, in HCC, have not yet been fully investigated. In this pilot study, we assessed the expression levels of circ_0009910, circ_0027478, and miR-1236-3p in plasma samples from 100 patients diagnosed with HCC and 50 healthy controls through reverse transcriptase-quantitative polymerase chain reaction (RT-qPCR). The diagnostic performance was evaluated using receiver operating characteristic (ROC) curve analysis, and correlations with clinicopathological features were examined. Circ_0009910 and circ_0027478 exhibited significant upregulation in patients with HCC (p < 0.05), whereas miR-1236-3p demonstrated downregulation (p < 0.05). Circ_0009910 demonstrated significant diagnostic accuracy (area under the curve [AUC] = 0.90), effectively differentiating HCC from controls and showing a correlation with tumor size, metastasis, and alpha-fetoprotein (AFP) levels (p < 0.05). Both circ_0009910 and circ_0027478 exhibited a positive correlation with clinicopathological features, whereas miR-1236-3p demonstrated an inverse correlation. Logistic regression validated the diagnostic and prognostic capabilities of these biomarkers. The results indicate that circ_0009910, circ_0027478, and miR-1236-3p, in conjunction with AFP three, present a promising diagnostic and prognostic profile for HCC. Additional validation in larger cohorts is required to establish their clinical utility.

Identification of progression related LncRNAs in colorectal cancer aggressiveness

Colorectal cancer (CRC) progression involves complex molecular alterations, including the dysregulation of long non-coding RNAs (lncRNAs). In this study, we identified key progression-related lncRNAs in CRC by integrating transcriptomic data from TCGA and single-cell RNA sequencing (scRNA-seq). Differential expression analysis revealed numerous lncRNAs associated with CRC progression. To systematically prioritize these lncRNAs, we developed a scoring system incorporating multiple progression-related signatures, differential expression, and survival analysis. This approach identified 198 key lncRNAs, including both known (e.g., LINC01615) and novel candidates (e.g., AC007998.3). Experimental validation confirmed that LINC01615 was significantly upregulated in CRC tissues, whereas AC007998.3 was downregulated. Further analyses indicated that these lncRNAs influence CRC progression through cis-, trans-, and post-transcriptional regulation. Patients were classified into distinct molecular subgroups based on lncRNA expression, exhibiting significant differences in prognosis and immune microenvironment composition. The enrichment of progression-related lncRNAs among differentially expressed lncRNAs was statistically significant, reinforcing their functional relevance. Validation across independent datasets demonstrated the robustness of our findings. Our research provides novel insights into the molecular mechanisms underlying CRC progression and highlights the potential of progression-related lncRNAs as prognostic biomarkers and therapeutic targets.

Dual roles of LncRNA RNA143598: a biomarker for rheumatoid arthritis and its implications in cancer

OBJECTIVE

Rheumatoid arthritis (RA) is a chronic autoimmune disease with complex pathological mechanisms, including immune system dysregulation and chronic inflammation. Recent studies indicate that long non-coding RNAs (LncRNAs) play key roles in immune regulation and have been implicated in the pathogenesis of multiple diseases, including RA and various types of cancer. Understanding the involvement of LncRNAs in RA and their potential transcriptional effects in cancer could provide novel insights into disease mechanisms and therapeutic targets.

METHODS

Using the GSE94519 dataset, we analyzed serum LncRNA profiles from RA patients and healthy controls. Differential expression genes (DEGs) were identified using GEO2R, and findings were validated via quantitative polymerase chain reaction (qPCR) in 39 RA and 53 healthy samples. Receiver operating characteristic (ROC) analysis was performed to evaluate diagnostic performance. A pan-cancer analysis of MTRNR2L1 was conducted using TCGA data, with immune infiltration assessed via ssGSEA.

RESULTS

RNA143598 was significantly upregulated in RA patients, and qPCR confirmed its diagnostic potential (AUC = 0.77). Pan cancer analysis shows that MTRNR2L1 is highly expressed in glioblastoma (GBM) and lowly expressed in head and neck squamous cell carcinoma (HNSC), with high GBM expression linked to poor prognosis. Immune infiltration analysis showed MTRNR2L1 correlated with CD8 + T cells, macrophages, and dendritic cells in GBM.

CONCLUSION

RNA143598 is a promising RA biomarker, and its transcription gene MTRNR2L1 demonstrates potential in cancer prognosis and immune regulation. These findings provide a foundation for future research on targeted therapies for RA and cancer. Key Points • RNA143598 is identified as a significant biomarker for diagnosing rheumatoid arthritis (RA), showing promise for clinical application. • Quantitative PCR validation demonstrates the diagnostic potential of RNA143598, with an area under the curve (AUC) of 0.77. • MTRNR2L1, which is RNA143598 transcribed gene, exhibits differential expression in different cancer types, with high levels associated with poor prognosis in glioblastoma (GBM). • Immune infiltration analysis links MTRNR2L1 expression to the presence of CD8 + T cells, macrophages, and dendritic cells, suggesting its role in immune regulation in GBM.

HOXA10-AS Enhances Gastric Cancer Cell Proliferation, Migration, and Invasion via the p38 MAPK/STAT3 Signaling Pathway

Gastric cancer (GC) represents a major global health concern, with over 1 million new cases diagnosed annually worldwide. Emerging studies have highlighted the significant correlation between long noncoding RNAs (lncRNAs) and the progression of GC. The objective of the current study is to investigate the roles and mechanism of lncRNA homeobox A10 antisense RNA (HOXA10-AS) in modulating malignant properties of GC cells. RT-qPCR was employed to detect HOXA10-AS expression in GC cells or human normal gastric epithelium cells. The cellular localization of HOXA10-AS and mRNA HOXA10 were detected using RNA fractionation assays. Colony forming assays and Transwell assays were performed to assess the proliferative, invasive, and migratory capabilities of GC cells. Western blot analysis was used to determine protein levels of epithelial mesenchymal transition (EMT) markers in GC cells. RNA immunoprecipitation, RNA pulldown assays and luciferase assays were conducted to explore gene interaction. As shown by experimental results, HOXA10-AS showed high expression in GC cells. The silencing of HOXA10-AS led to weakened proliferative, invasive, and migratory abilities of GC cells, as well as inhibition of the EMT process. Moreover, HOXA10-AS positively regulated HOXA10 expression by interacting with miR-29a/b/c-3p. Additionally, overexpression of HOXA10 counteracted the repressive impacts on malignant cellular process caused by the knockdown of HOXA10-AS. Furthermore, HOXA10-AS activated the p38 MAPK/STAT3 signaling pathway via upregulation of HOXA10. In conclusion, HOXA10-AS upregulates HOXA10 expression through interaction with miR-29a/b/c-3p. The resultant increase in HOXA10 expression activates the p38 MAPK/STAT3 signaling, thereby promoting GC cell growth, migration, invasion, and EMT process.

Exploring the interplay of natural products and long non-coding RNAs in colorectal cancer: pathogenesis, diagnosis, and overcoming drug resistance

Colorectal cancer (CRC) is recognized as one of the most prevalent malignancies, both in terms of incidence and mortality rates. Current research into CRC has shed light on the molecular mechanisms driving its development. Several factors, including lifestyle, environmental influences, genetics, and diet, play significant roles in its pathogenesis. Natural compounds such as curcumin, tanshinone, lycorine, sinomenine, kaempferol, verbascoside, quercetin, berberine, and fisetin have shown great promise in the prevention and treatment of CRC. Research has also highlighted the significance of non-coding RNAs (ncRNAs) as biomarkers and therapeutic targets in CRC. Among these, long non-coding RNAs (lncRNAs) have been found to regulate the transcription of genes involved in cancer. LncRNAs contribute to cancer stem cell (CSC) proliferation, angiogenesis, epithelial-mesenchymal transition (EMT), and chemoresistance. Specific lncRNAs, including GAS5, LNC00337, HOTAIR, TPT1-AS1, cCSC1, BCAR4, TUG1, and Solh2, play crucial roles in these processes. They hold potential as novel biomarkers, detectable in bodily fluids and tissues, and could serve as therapeutic targets due to their involvement in drug resistance and sensitivity. These insights could improve CRC treatment strategies, addressing resistance to chemotherapy and radiotherapy. This review article aims to provide a comprehensive analysis of the current knowledge regarding the effectiveness of natural anti-cancer agents in CRC treatment. Additionally, it offers an in-depth evaluation of lncRNAs in CRC, their role in the disease's progression, and their potential applications in its management.

LncRNAs in serum-derived extracellular vesicles are potential biomarker and correlated with immune infiltration in gastric cancer

Background

Long non-coding RNAs (lncRNAs) in extracellular vesicles (EVs) have been confirmed as effective non-invasive biomarkers for multiple diseases. However, their expression and clinical value in gastric cancer (GC) remain poorly understood.

Materials and methods

Serum EV RNA was extracted from four patients with GC and four healthy controls, followed by high-throughput RNA sequencing. LncRNAs were further validated in training and validation sets using quantitative real-time reverse transcription polymerase chain reaction.

Results

A total of 37,684 lncRNAs were obtained, and 10 lncRNAs were selected based on the criteria (P < 0.05 and |log2FoldChange| ≥1). Serum EV lncRNA RMRP, RPPH1, and linc-ROR were significantly higher in patients with GC than in those with chronic gastritis, atypical hyperplasia, or healthy control (all P < 0.05). Three lncRNAs were also significantly correlated with tumor diameter, lymphatic metastasis, distal metastasis, and TNM stage (all P < 0.05). The area under the curve (AUC) values for lncRNA RMRP, RPPH1, and linc-ROR were 0.727, 0.774, and 0.811, respectively. Corresponding sensitivity and specificity were 63.4% and 85.4%, 50.7% and 89.6%, and 78.5% and 66.7%. The combination of these three lncRNAs with carcinoembryonic antigen (CEA) yielded an AUC of 0.909, with a sensitivity and specificity of 83.3% each. Furthermore, high EV linc-ROR and RMRP expression levels were associated with worse disease-free survival and overall survival (OS). Univariate and multivariate Cox regression analyses confirmed that linc-ROR was the only independent prognostic factor for GC. Finally, the lncRNA-miRNA-mRNA network showed that three lncRNAs were predicted to interact with 15 miRNAs and 69 mRNAs. In addition, lncRNA RMRP and linc-ROR were correlated with immune cell infiltration, including neutrophils, central memory CD4 T cells, macrophage, and natural kill T cells.

Conclusion

EV lncRNAs are prospective biomarker and correlated with immune cell infiltration in GC. It provides a foundation for the development of serum EV-targeted novel biomarkers and immunotherapy targets of GC.

Role of long non-coding RNAs and natural products in prostate cancer: insights into key signaling pathways

Prostate cancer (PC) ranks among the most prevalent cancers in males. Recent studies have highlighted intricate connections between long non-coding RNAs (lncRNAs), natural products, and cellular signaling in PC development. LncRNAs, which are RNA transcripts without protein-coding function, influence cell growth, programmed cell death, metastasis, and resistance to treatments through pathways like PI3K/AKT, WNT/β-catenin, and androgen receptor signaling. Certain lncRNAs, including HOTAIR and PCA3, are associated with PC progression, with potential as diagnostic markers. Natural compounds, such as curcumin and resveratrol, demonstrate anticancer effects by targeting these pathways, reducing tumor growth, and modulating lncRNA expression. For instance, curcumin suppresses HOTAIR levels, hindering PC cell proliferation and invasion. The interaction between lncRNAs and natural compounds may open new avenues for therapy, as these substances can simultaneously impact multiple signaling pathways. These complex interactions offer promising directions for developing innovative PC treatments, enhancing diagnostics, and identifying new biomarkers for improved prevention and targeted therapy. This review aims to map the multifaceted relationship among natural products, lncRNAs, and signaling pathways in PC pathogenesis, focusing on key pathways such as AR, PI3K/AKT/mTOR, WNT/β-catenin, and MAPK, which are crucial in PC progression and therapy resistance. Regulation of these pathways by natural products and lncRNAs could lead to new insights into biomarker identification, preventive measures, and targeted PC therapies.

Unraveling the role of LncRNAs in glioblastoma progression: insights into signaling pathways and therapeutic potential

Glioblastoma (GBM) is one of the most aggressive types of brain cancer, characterized by its poor prognosis and low survival rate despite current treatment modalities. Because GBM is lethal, clarifying the pathogenesis's underlying mechanisms is important, which are still poorly understood. Recent discoveries in the fields of molecular genetics and cancer biology have demonstrated the critical role that non-coding RNAs (ncRNAs), especially long non-coding RNAs (lncRNAs), play in the molecular pathophysiology of GBM growth. LncRNAs are transcripts longer than 200 nucleotides that do not encode proteins. They are significant epigenetic modulators that control gene e expression at several levels. Their dysregulation and interactions with important signaling pathways play a major role in the malignancy and development of GBM. The increasing role of lncRNAs in GBM pathogenesis is thoroughly examined in this review, with particular attention given to their regulation mechanisms in key signaling pathways such as PI3K/AKT, Wnt/β-catenin, and p53. It also looks into lncRNAs' potential as new biomarkers and treatment targets for GBM. In addition, the study discusses the difficulties in delivering lncRNA-based medicines across the blood-brain barrier and identifies areas that need more research to advance lncRNA-oriented treatments for this deadly cancer.

LncRNAs orchestration of gastric cancer - particular emphasis on the etiology, diagnosis, and treatment resistance

Gastric cancer (GC) remains a major public health challenge worldwide. Long non-coding RNAs (lncRNAs) play important roles in the development, progression, and resistance to the treatment of GC, as shown by recent developments in molecular characterization. Still, an in-depth investigation of the lncRNA landscape in GC is absent. However, The objective of this systematic review is to evaluate our present understanding of the role that lncRNA dysregulation plays in the etiology of GC and treatment resistance, with a focus on the underlying mechanisms and clinical implications. Research that described the functions of lncRNA in angiogenesis, stemness, epigenetics, metastasis, apoptosis, development, and resistance to key treatments was given priority. In GC, it has been discovered that a large number of lncRNAs, including MALAT1, HOTAIR, H19, and ANRIL, are aberrantly expressed and are connected with disease-related outcomes. Through various methods such as chromatin remodeling, signal transduction pathways, and microRNA sponging, they modulate hallmark cancer capabilities. Through the activation of stemness programs, epithelial-mesenchymal transition (EMT), and survival signaling, LncRNAs also control resistance to immunotherapy, chemotherapy, and targeted therapies. By clarifying their molecular roles further, we may be able to identify new treatment targets and ways to overcome resistance. This article aims to explore the interplay between lncRNAs, and GC. Specifically, the focus is on understanding how lncRNAs contribute to the etiology of GC and influence treatment resistance in patients with this disease.