Identification of Two Novel lncRNAs andmiR-۳۹۱۳-۳p as Prognosis Biomarkers for Glioblastoma.

Background: Glioblastoma (GBM) is the most aggressive anddeadly tumor of the central nervous system. identification ofreliable prognostic and predictive biomarkers for patient survivaland tumor recurrence is of utmost importance. Moderntreatments with surgery and chemotherapy or radiation therapyhave improved patient survival, but the prognosis remains poor.MicroRNAs (miRNAs) and long noncoding RNAs (lncRNAs)have received much attention due to their diagnostic value invarious cancers, including glioblastoma.Materials and Methods: The Gene Expression Omnibus (GEO)database was performed to find the dataset. The GSE۱۰۰۶۷۵dataset was used to identify differentially expressed genes(DEGs) in glioblastoma samples compared to normal samples.Then the results of analyses were verified in the Gene ExpressionProfiling Interactive Analysis (GEPIA۲) and RNA interactionanalysis (miRWalk, lncRRisearch, and lncBase۳) was performedalong with a protein interaction analysis (STRING). thesignificance level of microarray data analysis was considered۰.۰۵ (adjusted p-value).Results: Significantly low expression of SFTPD-AS۱ andRUNDC۳A-AS۱ was found in the GEPLA۲ experiment. TheROC curve indicated that hsa-miR-۳۹۱۳-۳p has the potentialas a prognosis biomarker of glioblastoma (AUC of ۰.۸۳۳, pvalue= ۴e-۰۳). SFTPD-AS۱ interacts with RUNDC۳A-AS۱and hsa-miR-۱۸۱a-۵p among the glioblastoma samples studies.hsa-miR-۳۹۱۳-۳p had a low level of expression (Log FC= -۱/۴,adj P-value= – ۱/۰۱e-۷).Conclusion: SFTPD-AS۱ and RUNDC۳A-AS۱ were found tobe promising prognosis biomarker for glioblastoma samplesbased on this computational.In the future, researchers will be able to gain more insight intothe roles of SFTPD-AS۱ and RUNDC۳A-AS۱ play in glioblastomaby investigating the correlation between SFTPD-AS۱ andRUNDC۳A-AS۱ and correlated lncRNAs, and microRNAs, especiallythe RNAs mentioned in this study.