MiR-33a targets FOSL1 and EN2 as a clinical prognostic marker for sarcopenia by glioma.

To determine the relationship between glioma and muscle aging and to predict prognosis by screening for co-expressed genes, this study examined the relationship between glioma and sarcopenia. The study identified eight co-downregulated miRNAs, three co-upregulated miRNAs, and seven genes associated with overall glioma survival, namely, KRAS, IFNB1, ALCAM, ERBB2, STAT3, FOSL1, and EN2. With a multi-factor Cox regression model incorporating FOSL1 and EN2, we obtained ROC curves of 0.702 and 0.709, respectively, suggesting that glioma prognosis can be predicted by FOSL1 and EN2, which are differentially expressed in both cancer and aged muscle. FOSL1 and EN2 were analyzed using Gene Set Enrichment Analysis to identify possible functional pathways. RT-qPCR and a dual-luciferase reporter gene system verified that hsa-miR-33a targets FOSL1 and EN2. We found that hsa-mir-33a co-targeting FOSL1 and EN2 has a good predictive value for glioblastoma and skeletal muscle reduction.

Homeobox B8 Targets Sterile Alpha Motif Domain-Containing Protein 9 and Drives Glioma Progression.

Gliomas are the most commonly occurring tumors of the central nervous system. Glioblastoma multiforme (GBM) is the most malignant and aggressive brain cancer in adults. Further understanding of the mechanisms underlying the aggressive nature of GBM is urgently needed. Here we identified homeobox B8 (HOXB8), a member of the homeobox family, as a crucial contributor to the aggressiveness of GBM. Data mining of publicly accessible RNA sequence datasets and our patient cohorts confirmed a higher expression of HOXB8 in the tumor tissue of GBM patients, and a strong positive correlation between the expression level and pathological grading of tumors and a negative correlation between the expression level and the overall survival rate. We next showed that HOXB8 promotes the proliferation and migration of glioblastoma cells and is crucial for the activation of the PI3K/AKT pathway and expression of epithelial-mesenchymal transition-related genes, possibly through direct binding to the promoter of SAMD9 (Sterile Alpha Motif Domain-Containing Protein 9) and activating its transcription. Collectively, we identified HOXB8 as a critical contributor to the aggressiveness of GBM, which provides insights into a potential therapeutic target for GBM and opens new avenues for improving its treatment outcome.

Serum S100A12 as a prognostic biomarker of severe traumatic brain injury.

BACKGROUND: S100A12 is related to acute brain injury and inflammation. We investigated the clinical prognostic value of serum S100A12 in patients with severe traumatic brain injury (sTBI). METHODS: Serum S100A12, S100B, C-reactive protein (CRP), interleukin-6 (IL-6), tumor necrosis factor-alpha (TNF-α) concentrations were measured in 102 healthy controls and 102 sTBI patients. We recorded 30-day mortality and in-hospital major adverse events (IMAEs) including acute lung injury, acute traumatic coagulopathy, progressive hemorrhagic injury and posttraumatic cerebral infarction. Trauma severity was assessed by admission Glasgow Coma Scale scores. RESULTS: When compared to the controls, serum S100A12, S100B, CRP, IL-6 and TNF-α concentrations were significantly increased in the patients. Serum concentrations of S100A12 significantly correlated with admission Glasgow Coma Scale scores and serum concentrations of S100B, CRP, IL-6 and TNF-α. Patients with any IMAEs or non-survivors within 30 days had obviously higher serum concentrations of S100A12, S100B, CRP, IL-6 and TNF-α than other remaining ones. Serum S100A2 was independently associated with IMAEs and 30-day mortality and overall survival. Receiver operating characteristic curve analysis showed that S100A12 concentrations had significant discriminatory ability for patients at risk of any IMAEs and death within 30 days. CONCLUSION: S100A12 might be associated with brain inflammation and evaluation of serum concentrations of S100A12 could be helpful in the early prognostic prediction in sTBI patients.