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Abstract The aim of this study is to find those N7-methylguanosine (m7G) methylation-related regulator genes (m7GMRRGs) which were associated with melanoma prognosis and use them to develop a prognostic prediction model. Clinical information was retrieved online from The Cancer Gene Atlas (TCGA) and the Gene Expression Omnibus (GEO). R software was used to extract m7GMRRGs by differential expression analysis. To create a prognostic risk model, univariate and multivariate Cox regression analyses were employed for the evaluation of the prognostic significance of m7G methylation modifiers. Internal validation using cohort from TCGA (training set) and external validation using cohort from GEO (validation set) of the model were carried out. The model’s predictive performance was confirmed by using the Kaplan–Meier, univariate, and multivariate Cox regression, and receiver operating characteristic curve (ROC) by constructing column line plots incorporating clinical factor characteristics. Immune infiltration analyses were performed to assess the immune function of m7GMRRGs. Drug sensitivity analysis was conducted to study chemotherapeutic drug treatment cues. Prognostic models using four m7GMRRGs (EIF4E3, LARP1, NCBP3, and IFIT5) showed good prognostic power in training and validation sets. The area under the curve (AUC) at 1, 3, and 5 years for GEO-melanoma were 0.689, 0.704, and 0.726, respectively. The prediction model could distinctly classify patients with melanoma into different risk subgroups (P

Background: The Cavernous Angioma in Posterior Sagittal Sinus is exceedingly rare., Methods: We report for the case of a 10-year-old male patient who was diagnosed with Cavernous Angioma in Posterior Sagittal Sinus., Results: Our case is the second reported case of Cavernous Angioma in Posterior Sagittal Sinus in the world., Conclusions: It is very rare for the cavernous hemangioma to occur in the sinus, preoperative conventional MR scan lacks specificity and easily leads to misdiagnosis. Head MR enhancement, MRBTI, and SWI can provide more useful diagnostic information. The final diagnosis depends on the pathology examination.