The present study aimed to explore the expression profiles of circular RNAs (circRNAs) in glioblastoma multiforme (GBM) in an attempt to identify potential core genes in the pathogenesis of this tumor. Differentially expressed circRNAs were screened between tumor tissues from five GBM patients and five normal brain samples using Illumina Hiseq. Bioinformatics analysis was used to analyze their potential function. CircBRAF was further detected in different WHO grades glioma tissues and normal brain tissues. Kaplan-Meier curves and multivariate Cox's analysis were used to analyze the association between circBRAF expression level and prognosis of glioma patients. A total of 1411 differentially expressed circRNAs were identified in GBM patients including 206 upregulated circRNAs and 1205 downregulated circRNAs. Differential expression of circRNAs was closely associated with the biological process and molecular function. The downregulated circRNAs were mainly associated with ErbB and Neurotrophin signaling pathways. Moreover, the expression level of circBRAF in normal brain tissues was significantly higher than that in glioma tissues (P<.001). CircBRAF was significantly lower in glioma patients with high pathological grade (WHO III & IV) than those with low grade (WHO I & II) (P<.001). Cox analysis revealed that high circBRAF expression was an independent biomarker for predicting good progression-free survival and overall survival in glioma patients (HR=0.413, 95% CI 0.201-0.849; HR=0.299, 95% CI 0.135-0.661; respectively). The present study identified a profile of dysregulated circRNAs in GBM. Bioinformatics analysis showed that dysregulated circRNAs might be associated with tumorigenesis and development of GBM. In addition, circBRAF could severe as a biomarker for predicting pathological grade and prognosis in glioma patients.

Background: Glioma is the most common and malignant primary brain tumour in adults and has a dismal prognosis. Temozolomide (TMZ) is the only clinical first-line chemotherapy drug for malignant glioma up to present. Due to poor aqueous solubility and toxic effects, TMZ is still inefficient and limited for clinical glioma treatment. Methods: UiO-66-NH₂ nanoparticle is a zirconium-based framework, constructed by Zr and 2-amino-1,4-benzenedicarboxylic acid (BDC-NH₂) with octahedral microporous structure, which can be decomposed by the body into an ionic form to discharge. We prepared the nanoscale metal-organic framework (MOF) of UiO-66-NH₂ to load TMZ for therapy of malignant glioma, TMZ is released from UiO-66-NH₂ through a porous structure. The ultrasound accelerates its porous percolation and promotes the rapid dissolution of TMZ through low-frequency oscillations and cavitation effect. The biological safety and antitumor efficacy were evaluated both in vitro and in vivo. Results: The prepared [email protected] exhibited excellent biocompatibility and biosafety due to minimal drug leakage without ultrasound intervention. We further used the flank model of glioblastoma to verify the in vivo therapeutic effect. [email protected]₂ nanocomposites could be well delivered to the tumour tissue, which led to local enrichment of the TMZ concentration. Furthermore, [email protected]₂ nanocomposites under ultrasound demonstrated much more efficient inhibition for tumor growth than [email protected]₂ nanocomposites and TMZ alone. Meanwhile, the bone marrow suppression side effects of TMZ were significantly reduced by [email protected]₂ nanocomposites. Conclusion: In this work, [email protected]₂ nanocomposites with ultrasound mediation could effectively improve the killing effect of malignant glioma and decrease TMZ-induced toxicity in normal tissues, demonstrating great potential for the delivery of TMZ in the clinical treatment of malignant gliomas.

Background: Analysis of mutational signatures is becoming routine in cancer genomics, with implications for pathogenesis, classification, and prognosis. Among the signatures cataloged at COSMIC, mutational signature 4 has been linked to smoking. However, the distribution of signature 4 in Chinese lung cancer patients has not been evaluated, and its clinical value has not been evaluated. Here we survey mutational signatures in Chinese lung cancer patients and explore the relationship between signature 4 and other genomic features in the patients. Methods: We extracted mutational signatures from whole-exome sequencing data of Chinese non-small cell lung cancer patients. The data included 401 lung adenocarcinoma (LUAD) and 92 squamous cell carcinoma (LUSC). We then performed statistical analysis to search for genomic and clinical features that can be linked to mutation signatures. Results: We found signature 4 is the most frequent mutational signature in LUSC and the second most frequent in LUAD. Fifty-six LUAD and thirty-five LUSC patients were named with high signature 4 similarities (cosine similarity >0.7). These patients have shorter survival and higher tumor mutational burden comparing to those with low signature 4 similarities. Dozens of genes with single nucleotide variation, index mutations, and copy number variations were differentially enriched in the patients with high signature 4 similarities. Among these genes, CSMD3, LRP1B, TP53, SYNE1, SLIT2, FGF4, and FGF19 are common in both LUADs and LUSCs with high signature 4 similarities, showing that these genes are tightly associated with signature 4. Conclusions: The present study is the first to report a comparison in Chinese NSCLC patients with or without COSMIC mutational signature 4. These results will help find the Signature 4 related mutational process in NSCLC.