Smoking and alcohol consumption with the risk of 11 common otolaryngological diseases: a bidirectional Mendelian randomization.

PURPOSE: In this study, a bidirectional mendelian randomization was applied to evaluate the association of smoking and alcohol consumption with 11 otolaryngological diseases. METHODS: A total of 85,22,34 and 7 single nucleotide polymorphisms were used as instrumental variables for smoking initiation, cigarettes per day, alcoholic drinks per week and alcohol consumption, respectively. Genetic associations with 11 common otolaryngological diseases were obtained from the UK Biobank and FinnGen dataset. IVW, weighted median, MR-Egger, MR-PRESSO and leave-one-out method were used in this analysis. RESULTS: Smoking initiation increased the risk of vocal cord and larynx diseases (OR 1.002; 95% CI 1.001-1.004; P = 4 × 10-4), head and neck cancer (OR 1.001; 95% CI 0.999-1.003; P = 0.027), thyroid cancer (OR 1.538; 95% CI 1.006-2.351; P = 0.047) and sleep apnoea (OR 1.286; 95% CI 1.099-1.506; P = 0.002). Cigarettes per day was associated with chronic sinusitis (OR 1.152; 95% CI 1.002-1.324; P = 0.046), chronic rhinitis and pharyngitis (OR 1.200; 95% CI 1.033-1.393; P = 0.017), vocal cord and larynx diseases (OR 1.001; 95% CI 0.999-1.002; P = 0.021) and head and neck cancer (OR 1.001; 95% CI 0.999-1.003; P = 0.017). Alcoholic drinks per week only was significantly associated with the risk of head and neck cancer (OR 1.003; 95% CI 1.001-1.006; P = 0.014). However, there was no evidence to support that genetically predicted alcohol consumption increased the risk of otolaryngological diseases. Reverse MR also did not find outcomes effect on exposures. CONCLUSION: This study shows that smoking and heavy alcohol consumption promote the occurrence of some otolaryngological diseases indicating that lifestyle modification might be beneficial in preventing otolaryngological diseases.

Identification of PBK as a hub gene and potential therapeutic target for medulloblastoma.

Medulloblastoma (MB) is the most frequent malignant brain tumor in pediatrics. Since the current standard of care for MB consisting of surgery, cranio­spinal irradiation and chemotherapy often leads to a high morbidity rate, a number of patients suffer from long­term sequelae following treatment. Targeted therapies hold the promise of being more effective and less toxic. Therefore, the present study aimed to identify hub genes with an upregulated expression in MB and to search for potential therapeutic targets from these genes. For this purpose, gene expression profile datasets were obtained from the Gene Expression Omnibus database and processed using R 3.6.0 software to screen differentially expressed genes (DEGs) between MB samples and normal brain tissues. A total of 282 upregulated and 436 downregulated DEGs were identified. Functional enrichment analysis revealed that the upregulated DEGs were predominantly enriched in the cell cycle, DNA replication and cell division. The top 10 hub genes were identified from the protein­protein interaction network of upregulated genes, and one identified hub gene [PDZ binding kinase (PBK)] was selected for further investigation due to its possible role in the pathogenesis of MB. The aberrant expression of PBK in MB was verified in additional independent gene expression datasets. Survival analysis demonstrated that a higher expression level of PBK was significantly associated with poorer clinical outcomes in non­Wingless MBs. Furthermore, targeting PBK with its inhibitor, HI­TOPK­032, impaired the proliferation and induced the apoptosis of two MB cell lines, with the diminished phosphorylation of downstream effectors of PBK, including ERK1/2 and Akt, and the activation of caspase­3. Hence, these results suggest that PBK may be a potential prognostic biomarker and a novel candidate of targeted therapy for MB.

MRI radiomic features of peritumoral edema may predict the recurrence sites of glioblastoma multiforme.

Background and purpose: As one of the most aggressive malignant tumor in the central nervous system, the main cause of poor outcome of glioblastoma (GBM) is recurrence, a non-invasive method which can predict the area of recurrence pre-operation is necessary.To investigate whether there is radiological heterogeneity within peritumoral edema and identify the reproducible radiomic features predictive of the sites of recurrence of glioblastoma(GBM), which may be of value to optimize patients' management. Materials and methods: The clinical information and MR images (contrast-enhanced T1 weighted and FLAIR sequences) of 22 patients who have been histologically proven glioblastoma, were retrospectively evaluated. Kaplan-Meier methods was used for survival analysis. Oedematous regions were manually segmented by an expert into recurrence region, non-recurrence region. A set of 94 radiomic features were obtained from each region using the function of analyzing MR image of 3D slicer. Paired t test was performed to identify the features existing significant difference. Subsequently, the data of two patients from TCGA database was used to evaluate whether these features have clinical value. Results: Ten features with significant differences between the recurrence and non-recurrence subregions were identified and verified on two individual patients from the TCGA database with pathologically confirmed diagnosis of GBM. Conclusions: Our results suggested that heterogeneity does exist in peritumoral edema, indicating that the radiomic features of peritumoral edema from routine MR images can be utilized to predict the sites of GBM recurrence. Our findings may further guide the surgical treatment strategy for GBM.