LINC01116 promotes the proliferation and invasion of glioma by regulating the microRNA‑744‑5p‑MDM2‑p53 axis

Impacts of Nutlin-3a and exercise on murine double minute 2-enriched glioma treatment

JOURNAL/nrgr/04.03/01300535-202504000-00029/figure1/v/2024-07-06T104127Z/r/image-tiff Recent research has demonstrated the impact of physical activity on the prognosis of glioma patients, with evidence suggesting exercise may reduce mortality risks and aid neural regeneration. The role of the small ubiquitin-like modifier (SUMO) protein, especially post-exercise, in cancer progression, is gaining attention, as are the potential anti-cancer effects of SUMOylation. We used machine learning to create the exercise and SUMO-related gene signature (ESLRS). This signature shows how physical activity might help improve the outlook for low-grade glioma and other cancers. We demonstrated the prognostic and immunotherapeutic significance of ESLRS markers, specifically highlighting how murine double minute 2 (MDM2), a component of the ESLRS, can be targeted by nutlin-3. This underscores the intricate relationship between natural compounds such as nutlin-3 and immune regulation. Using comprehensive CRISPR screening, we validated the effects of specific ESLRS genes on low-grade glioma progression. We also revealed insights into the effectiveness of Nutlin-3a as a potent MDM2 inhibitor through molecular docking and dynamic simulation. Nutlin-3a inhibited glioma cell proliferation and activated the p53 pathway. Its efficacy decreased with MDM2 overexpression, and this was reversed by Nutlin-3a or exercise. Experiments using a low-grade glioma mouse model highlighted the effect of physical activity on oxidative stress and molecular pathway regulation. Notably, both physical exercise and Nutlin-3a administration improved physical function in mice bearing tumors derived from MDM2-overexpressing cells. These results suggest the potential for Nutlin-3a, an MDM2 inhibitor, with physical exercise as a therapeutic approach for glioma management. Our research also supports the use of natural products for therapy and sheds light on the interaction of exercise, natural products, and immune regulation in cancer treatment.

LINC01116-dependent upregulation of RNA polymerase I transcription drives oncogenic phenotypes in lung adenocarcinoma

BACKGROUND

Hyperactive RNA Polymerase I (Pol I) transcription is canonical in cancer, associated with malignant proliferation, poor prognosis, epithelial-mesenchymal transition, and chemotherapy resistance. Despite its significance, the molecular mechanisms underlying Pol I hyperactivity remain unclear. This study aims to elucidate the role of long noncoding RNAs (lncRNAs) in regulating Pol I transcription in lung adenocarcinoma (LUAD).

METHODS

Bioinformatics analyses were applied to identify lncRNAs interacting with Pol I transcriptional machinery. Fluorescence in situ hybridization was employed to examine the nucleolar localization of candidate lncRNA in LUAD cells. RNA immunoprecipitation assay validated the interaction between candidate lncRNA and Pol I components. Chromatin isolation by RNA purification and Chromatin Immunoprecipitation (ChIP) were utilized to confirm the interactions of candidate lncRNA with Pol I transcriptional machinery and the rDNA core promoter. Functional analyses, including lncRNA knock-in and knockdown, inhibition of Pol I transcription, quantitative PCR, cell proliferation, clonogenicity, apoptosis, cell cycle, wound-healing, and invasion assays, were performed to determine the effect of candidate lncRNA on Pol I transcription and associated malignant phenotypes in LUAD cells. ChIP assays and luminometry were used to investigate the transcriptional regulation of the candidate lncRNA.

RESULTS

We demonstrate that oncogenic LINC01116 scaffolds essential Pol I transcription factors TAF1A and TAF1D, to the ribosomal DNA promoter, and upregulate Pol I transcription. Crucially, LINC01116-driven Pol I transcription activation is essential for its oncogenic activities. Inhibition of Pol I transcription abrogated LINC01116-induced oncogenic phenotypes, including increased proliferation, cell cycle progression, clonogenicity, reduced apoptosis, increased migration and invasion, and drug sensitivity. Conversely, LINC01116 knockdown reversed these effects. Additionally, we show that LINC01116 upregulation in LUAD is driven by the oncogene c-Myc, a known Pol I transcription activator, indicating a functional regulatory feedback loop within the c-Myc-LINC01116-Pol I transcription axis.

CONCLUSION

Collectively, our findings reveal, for the first time, that LINC01116 enhances Pol I transcription by scaffolding essential transcription factors to the ribosomal DNA promoter, thereby driving oncogenic activities in LUAD. We propose the c-Myc-LINC01116-Pol I axis as a critical oncogenic pathway and a potential therapeutic target for modulating Pol I transcription in LUAD.

Linc01116 Silencing Inhibits the Proliferation and Invasion, Promotes Apoptosis of Chordoma Cells via Regulating the Expression of Mir-9-5p/PKG1

BACKGROUND

Long intergenic non-protein coding RNA 1116 (LINC01116) plays a carcinogenic role in a variety of cancers. The study aims to investigate the roles of LINC01116 and hsa-miR-9-5p (miR-9-5p) and fathom their interaction in chordoma.

METHODS

The predicted binding sites between miR-9-5p with LINC01116 and phosphoglycerate kinase 1 (PGK1) by starBase were confirmed through dual-luciferase reporter assay. The behaviors of chordoma cells undergoing transfection with siLINC01116 or miR-9-5p inhibitor were determined by Cell Counting Kit-8 (CCK-8), colony formation, Transwell, and flow cytometry assays. The glucose consumption, lactate production, and adenosine triphosphate (ATP) production of chordoma cells were examined with specific kits. Quantitative real-time polymerase chain reaction (qRT-PCR) and Western blot were performed to determine relevant gene expressions in chordoma cells.

RESULTS

Silencing of LINC01116 facilitated the apoptosis and expressions of Bcl-2- associated X (Bax), cleaved caspase-3 (C caspase-3) and miR-9-5p while repressing the cell cycle, viability, proliferation, invasion, glucose consumption, lactate production, ATP production, and expressions of PGK1 and Bcl-2. Meanwhile, LINC01116 sponged miR-9-5p, which could target PGK1. Moreover, the miR-9-5p inhibitor acted contrarily and reversed the role of siLINC01116 in chordoma cells. Besides, LINC01116 downregulation facilitated apoptosis and attenuated the proliferation and invasion of chordoma cells as well as PGK1 expression by upregulating miR-9-5p expression.

CONCLUSION

LINC01116/miR-9-5p plays a regulatory role in the progression of chordoma cells and is a potential biomarker for chordoma.

M2 macrophage marker CHI3L2 could serve as a potential prognostic and immunological biomarker in glioma by integrated single-cell and bulk RNA-Seq analysis

BACKGROUND

CHI3L2 plays a crucial role in multiple cancers, but its importance in glioma remains unclear. Hence, we comprehensively integrated bulk RNA-sequencing (RNA-seq), proteomics and single-cell RNA-seq (scRNA-seq) to determine the roles of CHI3L2 in gliomas.

METHODS

Bulk RNA-seq, proteomics and scRNA-seq data of CHI3L2 in glioma were obtained from online databases. The quantitative real-time polymerase chain reaction (qRT-PCR) and immunohistochemistry (IHC) were conducted to verify the CHI3L2 expression. Then, univariate and multivariate Cox regression analyses, Norman charts and gene set enrichment analysis (GSEA) were performed. Finally, the associations between CHI3L2 and tumor immunity were explored.

RESULTS

The expression of CHI3L2 was markedly higher in glioma cancers compared with normal tissues from analysis of the data of the Cancer Genome Atlas and Chinese Glioma Genome Atlas datasets and as verified by GSE4290, GSE50161, qRT-PCR and IHC results (p < 0.05). High expression of CHI3L2 suggested poor overall survival (OS) prognosis in gliomas (p < 0.05). CHI3L2 might also serve as an independent predictor of OS for gliomas (p < 0.05) and we also constructed a Norman chart to predict these patients' survival prognosis with good performance. GSEA analysis showed that CHI3L2 might be involved with eight pathways in gliomas. Regarding tumor immunity, CHI3L2 was found to be significantly involved with immune cell infiltration levels of low-grade glioma, the tumor immune microenvironment, immune checkpoints and immune cells in both low-grade glioma and glioblastoma (p < 0.05). Additionally, scRNA-seq data for CHI3L2 in glioma from the TISCH2 website showed that CHI3L2 is mainly expressed in astrocytes, endothelial cells, CD8+ T cells, mono/macrophage cells, etc. CONCLUSIONS: CHI3L2 presents prognostic and immunological values in glioma, providing novel therapeutic targets for glioma patients.

Expression analysis of human glioma susceptibility gene and P53 in human glioma and its clinical significance based on bioinformatics

Background

The exact mechanism of glioblastoma multiforme (GBM) remains unclear. This study was to clarify the expression of P53 in glioma and its molecular mechanism, and to explore the possibility of P53 as a potential therapeutic target of glioma and its clinical application value, so as to provide a new theoretical basis for the treatment of glioma.

Methods

Firstly, a dataset was established to analyze the expression of P53 in different stages of glioma and its relationship with prognosis by using The Cancer Genome Atlas (TCGA) database, RNA-seq data, and survival data of glioma and normal control samples in gene expression profiling and interactive analysis (GEPIA). The genes co-expressed with P53 were screened out, their differential expression between glioma and normal control group was analyzed, and their functions were analyzed by enrichment analysis. The TGGA database was used for data verification and analysis. The correlation between P53 expression and clinicopathological parameters was analyzed. Kaplan-Meier survival analysis was used to analyze the relationship between P53 expression and overall survival (OS) and progression-free survival (PFS) of glioma patients, and Cox regression analysis was used to analyze the independent factors affecting OS and PFS of glioma patients.

Results

The results of TCGA data analysis were as follows: The expression level of P53 was different from that of different stages of glioma, namely, the expression level of P53 between grade II and grade III, grade III and grade IV, and grade II and grade IV were significantly different (P<0.05). The results of P53 gene-related survival analysis showed that KNL1 high expression and low expression were significantly different in OS, and the high expression group was associated with poor prognosis (P<0.05).

Conclusions

The P53 expression can be an effective biological indicator of poor prognosis of glioma.

HOTTIP Mediated Therapy Resistance in Glioma Cells Involves Regulation of EMT-Related miR-10b

The advanced grade glioblastomas are characterized by dismal five-year survival rates and are associated with worse outcomes. Additionally, resistance to therapies is an additional burden responsible for glioma associated mortality. We studied the resistance against temozolomide (TMZ) as a surrogate to understand the mechanism of therapy resistance in glioma cancer cells. Screening of three glioma cells lines, A172, LN229 and SF268 revealed that SF268 glioma cells were particularly resistant to TMZ with the IC-50 of this cell line for TMZ ten times higher than for the other two cell lines. A role of lncRNAs in glioma progression has been identified in recent years and, therefore, we focused on lncRNAs for their role in regulating TMZ resistance in glioma cancer cells. lncRNA HOTTIP was found to be particularly elevated in SF268 cells and over-expression of HOTTIP in both A172 and LN229 remarkably increased their TMZ IC-50s, along with increased cell proliferation, migration, clonogenicity and markers of angiogenesis and metastasis. As a mechanism we observed increased expression of miRNA-10b and mesenchymal markers Zeb1/Zeb2 and reduced expression of E-cadherin in SF268 cells indicating a role of EMT in TMZ resistance. A172 and LN229 cells with overexpressed HOTTIP also had similarly induced EMT and the elevated miR-10b levels. Further, silencing of miR-10b in HOTTIP overexpressing cells as well as the SF268 cells reversed EMT with associated sensitization of all the tested cells to TMZ. Our results thus present a case for HOTTIP in native as well as acquired resistance of glioma cells against chemotherapy, with a key mechanistic role of EMT and the miR-10b. Thus, HOTTIP as well as miR-10b are critical targets for glioma therapy, and need to be tested further.

A systematic view of computational methods for identifying driver genes based on somatic mutation data

Abnormal changes of driver genes are serious for human health and biomedical research. Identifying driver genes, exactly from enormous genes with mutations, promotes accurate diagnosis and treatment of cancer. A lot of works about uncovering driver genes have been developed over the past decades. By analyzing previous works, we find that computational methods are more efficient than traditional biological experiments when distinguishing driver genes from massive data. In this study, we summarize eight common computational algorithms only using somatic mutation data. We first group these methods into three categories according to mutation features they apply. Then, we conclude a general process of nominating candidate cancer driver genes. Finally, we evaluate three representative methods on 10 kinds of cancer derived from The Cancer Genome Atlas Program and five Chinese projects from the International Cancer Genome Consortium. In addition, we compare results of methods with various parameters. Evaluation is performed from four perspectives, including CGC, OG/TSG, Q-value and QQQuantile-Quantileplot. To sum up, we present algorithms using somatic mutation data in order to offer a systematic view of various mutation features and lay the foundation of methods based on integration of mutation information and other types of data.