Bloomthuesen0279

[This corrects the article DOI 10.2147/JAA.S193211.].

The biological functions and molecular mechanisms of miR-935 have been widely investigated in various types of cancer. The aim of the present study was to explore the function of miR-935 in glioma.

Bioinformatic analysis and quantitative real-time fluorescent PCR (qRT-PCR) were used to determine the expression of miR-935 in glioma tissues and glioma cell lines. Chi-square test was performed to analyze the relationship between the expression of miR-935 and clinical traits. CCK-8 assay, colony formation assay, cell cycle analysis and subcutaneous tumorigenesis model in nude mice were conducted to determine the effects of miR-935 on the proliferation of glioma cells both in vitro and in vivo. Wound healing and transwell assays were used to detect the effects of miR-935 on the migration and invasion of glioma cells in vitro. The relationship between miR-935 and HIF1α was analyzed using bioinformatics, luciferase reporter assay and Western blotting.

The expression of miR-935 was lower in glioma tissues than miR-935/HIF1α feedback loop in glioma, which inhibits the development of glioma. This feedback loop may be a potential target for the treatment of glioma.

To examine the molecular mechanism by which miRNA-16 (miR-16) suppresses glioblastoma in vitro and in vivo.

Gene expression of miR-16 in normal brain tissues and human glioma cell lines was examined. To characterize the functional role of miR-16 in vitro, miR-16 was ectopically expressed in U87 cells by lentiviral transduction. Expression of miR-16 downstream targets cyclin D1 and Bcl-2 in U87 was studied using Western blotting. Cell proliferation and clonogenic property were examined using CCK-8 and clone formation assay, respectively. Migration and invasiveness of U87 was studied using wound-healing assay and transwell assay, respectively. In vivo tumorigenic properties of the miR-16-transduced U87 cells were examined in an orthotopic xenograft model. Immunohistochemistry was performed to examine cyclin D1, WIP1 and CD31 expressions.

Expression of miR-16 was reduced in glioblastoma cell lines compared to normal human brain tissues. Ectopic miR-16 expression reduced cyclin D1 and Bcl-2 in U87 cells. miR-16 also induced apoptosis, reduced cell proliferation and clone formation. Furthermore, miR-16 suppressed U87 migration in wound-healing assay and invasion across transwell membrane in vitro. In an orthotopic tumor model, overexpression of miR-16 inhibited tumor growth in vivo was accompanied with reduction in cyclin D1 and WIP1 expression in the xenografts. CD31 expression in miR-16-overexpressed xenografts was also decreased. The determined microvessel density of the miR-16 overexpression group was significantly lower than those groups treated with vehicle and empty vector.

MicroRNA-16 exhibits inhibitory effects of glioblastoma. MicroRNA-16 and its downstream targets could be potential therapeutic targets for treatment of glioblastoma.

MicroRNA-16 exhibits inhibitory effects of glioblastoma. MicroRNA-16 and its downstream targets could be potential therapeutic targets for treatment of glioblastoma.

Diffuse large B cell lymphoma (DLBCL) is an aggressive B-cell malignancy with clinical and molecular heterogeneity whose genetics may have clinical implications for patient stratification and treatment. The circulating tumor DNA (ctDNA) is a novel noninvasive, real-time, and tumor-specific biomarker harboring tumor-derived genetic alterations that are identical to those of tumor cells, thus showing great promise in individualized medicine, including precise diagnosis, prediction of prognosis, response monitoring, and relapse detection for DLBCL.

In this study, we applied NGS analysis to tumor biopsies and ctDNA samples from 16 DLBCL subjects. Then, we compared the genomic alterations from 41 newly diagnosed patients and 56 relapsed/refractory (R/R) patients.

Our results show that ctDNA can function as a liquid biopsy for tracking recurrently mutated genes in DLBCL (sensitivity 87.50%). The mutational profiles of newly diagnosed and R/R DLBCL groups largely overlapped, but the frequencies of some gene mutations differ between the two cohorts. The distribution of mutations also revealed different frequencies in the two cohorts due to different signaling pathways. Genes from apoptosis pathway, immune response and BCR pathway suffered more mutations in R/R patients.

Overall, this study establishes ctDNA as an easily accessible source of tumor DNA for DLBCL genotyping and provides a deeper understanding of the somatic alteration spectrum for both newly diagnosed and R/R DLBCL patients.

Overall, this study establishes ctDNA as an easily accessible source of tumor DNA for DLBCL genotyping and provides a deeper understanding of the somatic alteration spectrum for both newly diagnosed and R/R DLBCL patients.

Gastric cancer (GC) accounts for high mortality. RNA methylation has recently gained interest as markers in specific tumors. This study aimed to uncover the function of the roles of 25 RNA methylation regulators in GC.

RNA sequence and clinical data were downloaded from The Cancer Genome Atlas (TCGA) database. "STRING" and R were performed to analyze the correlation among the methylase. Selleckchem Phosphoramidon COX and LASSO were performed to screen for prognostic associated RNA methylation regulators. A prognostic model was established based on the expression of methylase. RT-PCR and immunohistochemistry detected the expression of methylase in GC cells and tissue. Kaplan-Meier curve and Cox analysis were applied to evaluate the effectiveness of the model.

The prediction model was established based on the expression of m6A RNA methylation regulators FTO (fat mass and obesity-associated) and RBM15 (RNA binding motif protein 15). Based on the model, GC patients were divided into "high risk" and "low risk" groups to compare the differences in survival. The model was re-evaluated with the clinical data of our center.

The two-methylase combination model was an independent prognostic factor of GC.

The two-methylase combination model was an independent prognostic factor of GC.