Protein-protein interaction network analysis and gene set enrichment analysis in epilepsy patients with brain cancer

lncRNA KTN1‑AS1 promotes glioma cell proliferation and invasion by negatively regulating miR‑505‑3p

Glioblastoma (GBM) is one of the most prevalent and aggressive central nervous tumors with high mobility and mortality. The prognosis of patients with GBM is poor. It is therefore essential to explore the therapeutic strategies for the treatment of GBM. Previous studies have demonstrated that the long non-coding RNA (lncRNA) Kinectin 1-Antisense RNA 1 (KTN1-AS1) can participate in the development of several types of cancer. However, the underlying mechanism of KTN1-AS1 in GBM remains unknown. The present study aimed to determine the potential role of KTN1-AS1 in GBM. In this study, reverse transcription quantitative PCR analysis was conducted and the results demonstrated that KTN1-AS1 was upregulated in GBM tissues and cell lines compared with normal tissues and astrocytes (NHA). Furthermore, KTN1-AS1 knockdown decreased the viability and invasive ability of glioma cells in vitro and in vivo. In addition, high level of KTN1-AS1 was correlated with poor prognosis in TCGA GBM database. Furthermore, microRNA-505-3p (miR-505-3p) was a promising target of KTN1-AS1, and the suppressing effects of miR-505-3p on cell proliferation and invasive ability was reversed by downregulating KTN1-AS1. Taken together, the results from the present provided novel insights into the roles of KTN1-AS1 in GBM, and suggested that the KTN1-AS1/miR-505-3p axis may be considered as a novel therapeutic target for the treatment of patients with GBM.

Long non-coding RNA EWSAT1 contributes to the proliferation and invasion of glioma by sponging miR-152-3p

Long non-coding RNAs (lncRNA) are a type of ncRNA with a length ranging from 200-1,000 nucleotides. Previous studies have confirmed that the lncRNA Ewing sarcoma associated transcript 1 (EWSAT1) exerts regulatory roles in cancer development and progression. However, its clinical significance in glioma remains unknown. In the present study, RNA-sequencing data from the Gene Expression Omnibus database and The Cancer Genome Atlas was explored to investigate the association between EWSAT1 expression and prognosis in patients with glioma. Increased EWSAT1 was associated with the presence of necrosis on magnetic resonance imaging scans in patients with glioma. Furthermore, knockdown of EWSAT1 was indicated to suppress the proliferative and invasive abilities of glioblastoma cell lines using Cell Counting Kit-8 and Transwell assays. Additionally, microRNA (miR)-152-3p was identified as a potential target of EWSAT1. The present study demonstrated that EWSAT1 interacted directly with miR-152-3p, and rescue experiments confirmed that EWSAT1 participated in glioma development by suppressing miR-152-3p. These results indicated that EWSAT1 is involved in the occurrence and progression of glioma, and may serve as a novel target and potential prognostic biomarker of glioma treatment.

Identification of highly connected and differentially expressed gene subnetworks in metastasizing endometrial cancer

We have identified nine highly connected and differentially expressed gene subnetworks between aggressive primary tumors and metastatic lesions in endometrial carcinomas. We implemented a novel pipeline combining gene set and network approaches, which here allows integration of protein-protein interactions and gene expression data. The resulting subnetworks are significantly associated with disease progression across tumor stages from complex atypical hyperplasia, primary tumors to metastatic lesions. The nine subnetworks include genes related to metastasizing features such as epithelial-mesenchymal transition (EMT), hypoxia and cell proliferation. TCF4 and TWIST2 were found as central genes in the subnetwork related to EMT. Two of the identified subnetworks display statistically significant association to patient survival, which were further supported by an independent validation in the data from The Cancer Genome Atlas data collection. The first subnetwork contains genes related to cell proliferation and cell cycle, while the second contains genes involved in hypoxia such as HIF1A and EGLN3. Our findings provide a promising context to elucidate the biological mechanisms of metastasis, suggest potential prognostic markers and further identify therapeutic targets. The pipeline R source code is freely available, including permutation tests to assess statistical significance of the identified subnetworks.

Integrated analysis of key mRNAs and lncRNAs in osteoarthritis

Osteoarthritis (OA) is the most common type of arthritis, observed mainly in the population aged >65 years. However, the mechanism underlying the development and progression of OA has remained largely elusive. The present study aimed to identify differentially expressed mRNAs and lncRNAs in OA. By analyzing the GSE48556 and GSE82107 datasets, a total of 202 up- and 434 downregulated mRNAs were identified in OA. Gene ontology and Kyoto Encyclopedia of Genes and Genomes pathway analysis indicated that differently expressed genes were mainly involved in regulating antigen processing and presentation, interspecies interaction between organisms, immune response, transcription and signal transduction. In addition, a series of long non-coding (lnc)RNAs were differently expressed in OA. To provide novel data on the molecular mechanisms and functional roles of these lncRNAs in OA, a co-expression analysis was performed, which revealed that the dysregulated lncRNAs were associated with transcription, signal transduction, immune response and cell adhesion. In addition, certain key genes in protein-protein interaction networks were identified. The present study provided useful information for exploring potential candidate biomarkers for the diagnosis and prognosis of OA, as well as novel drug targets.

Detection of lower levels of SNAP25 using multiple microarray systems and its functional significance in medulloblastoma

Medulloblastoma (MB) is the most common pediatric malignant brain tumor and patients with high-risk or recurrent MB respond poorly to current therapies, and have a higher related mortality. For this reason, potential molecules related to MB need be identified in order to develop targets for the development of novel therapeutics. In the present study, we compared MB microarray data obtained using different microarray systems and significant targets were selected by gene annotation and enrichment analysis. Genes for soluble N-ethylmaleimide-sensitive factor attachment protein receptors (SNAREs) annotated with the function 'vesicle' were identified and one of these proteins, synaptosomal-associated protein 25 (SNAP25), was found to have significantly lower expression levels in MB. In addition, SNAP25 was detected in a very low number of MB cells as shown by western blot analysis and immunohistochemical analyses of archived and formalin-fixed/paraffin-embedded human MB specimens. We found that SNAP25 altered the morphology and the chemotherapeutic effects of arabinofuranosyl cytidine (Ara-C) on SNAP25-expressing MB cells. On the whole, our data indicate that the expression of SNAP25 is crucial for dendrite formation and is associated with the effects of targeted chemotherapy. The detection of SNAP25 expression in MB cells may thus be essential for the chemotherapeutic application of Ara-C.

Epilepsy in glioma patients: mechanisms, management, and impact of anticonvulsant therapy

Seizures are a well-recognized symptom of primary brain tumors, and anticonvulsant use is common. This paper provides an overview of epilepsy and the use of anticonvulsants in glioma patients. Overall incidence and mechanisms of epileptogenesis are reviewed. Factors to consider with the use of antiepileptic drugs (AEDs) including incidence during the disease trajectory and prophylaxis along with considerations in the selection of anticonvulsant use (ie, potential side effects, drug interactions, adverse effects, and impact on survival) are also reviewed. Finally, areas for future research and exploring the pathophysiology and use of AEDs in this population are also discussed.

Drug-target networks for Tanshinone IIA identified by data mining

Tanshinone IIA is a pharmacologically active compound isolated from Danshen (Salvia miltiorrhiza), a traditional Chinese herbal medicine for the management of cardiac diseases and other disorders. But its underlying molecular mechanisms of action are still unclear. The present investigation utilized a data mining approach based on network pharmacology to uncover the potential protein targets of Tanshinone IIA. Network pharmacology, an integrated multidisciplinary study, incorporates systems biology, network analysis, connectivity, redundancy, and pleiotropy, providing powerful new tools and insights into elucidating the fine details of drug-target interactions. In the present study, two separate drug-target networks for Tanshinone IIA were constructed using the Agilent Literature Search (ALS) and STITCH (search tool for interactions of chemicals) methods. Analysis of the ALS-constructed network revealed a target network with a scale-free topology and five top nodes (protein targets) corresponding to Fos, Jun, Src, phosphatidylinositol-4, 5-bisphosphate 3-kinase, catalytic subunit alpha (PIK3CA), and mitogen-activated protein kinase kinase 1 (MAP2K1), whereas analysis of the STITCH-constructed network revealed three top nodes corresponding to cytochrome P450 3A4 (CYP3A4), cytochrome P450 A1 (CYP1A1), and nuclear factor kappa B1 (NFκB1). The discrepancies were probably due to the differences in the divergent computer mining tools and databases employed by the two methods. However, it is conceivable that all eight proteins mediate important biological functions of Tanshinone IIA, contributing to its overall drug-target network. In conclusion, the current results may assist in developing a comprehensive understanding of the molecular mechanisms and signaling pathways of in a simple, compact, and visual manner.