Long Non-Coding RNA CRNDE, LINC00957, and AC072061.1 as a Promising Diagnostic and Prognostic Biomarker in  Glioblastoma Multiforme

Arash  Poursheikhani; Meysam  Mosallaei; Mohammad Foad  Heidari; Mohsen  Rajaeinejad; Mohsen  Chamanara; Mojtaba Yousefi  zoshk; Peyman  Aslani; Ebrahim  Hazrati; Mojgan  Mohammadimehr; Javad  Behroozi

doi:10.18502/ijph.v53i9.16462

Arash Poursheikhani Department of Genetics and Advanced Medical Technology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran
Meysam Mosallaei Student Research Committee, University of Social Welfare and Rehabilitation Sciences, Tehran, Iran
Mohammad Foad Heidari Department of Laboratory Sciences, School of Allied Health Medicine, AJA University of Medical Sciences, Tehran, Iran
Mohsen Rajaeinejad AJA Cancer Epidemiology Research and Treatment Center (AJA‐ CERTC), AJA University of Medical Sciences, Tehran, Iran
Mohsen Chamanara Toxicology Research Center, AJA University of Medical Sciences, Tehran, Iran
Mojtaba Yousefi zoshk Trauma Research Center, AJA University of Medical Sciences, Tehran, Iran
Peyman Aslani Department of Parasitology and Mycology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran
Ebrahim Hazrati Department of Anesthesiology and Critical Care, AJA University of Medical Sciences, Tehran, Iran
Mojgan Mohammadimehr Department of Laboratory Sciences, School of Allied Health Medicine, AJA University of Medical Sciences, Tehran, Iran
Javad Behroozi Department of Genetics and Advanced Medical Technology, Faculty of Medicine, AJA University of Medical Sciences, Tehran, Iran

DOI: https://doi.org/10.18502/ijph.v53i9.16462

Keywords: Glioblastoma multiforme; Tumorigenesis; Long non-coding RNAs

Abstract

Background: Glioblastoma multiforme (GBM) is one of the most invasive types of brain cancer. LncRNAs can be considered a new prognostic and diagnostic biomarker in GBM. This study comprehensively explored the interaction of lncRNAs with mRNAs in the TCGA database and proposed a novel promising biomarker with favorable diagnostic and prognostic values.

Methods: The public data of RNA-seq and related clinical data were downloaded from the TCGA database. Differential expression analysis was conducted in R. GO and KEGG signaling pathways were used for enrichment. The STRING database was used for PPI analysis. CE-network was constructed by STAR database. Kaplan-Meier survival analysis and ROC curve analysis to indicate the biomarkers' diagnostic and prognostic values.

Results: Differentially expressed data illustrated that 4428 mRNAs were differentially expressed in GBM. The GO and KEGG pathway analysis showed that the differentially expressed mRNAs were enriched in critical biological processes. The PPI showed that WEE1, BARD1, and CDK6 were the important PPI hubs. The ceRNA network data demonstrated critical lncRNAs. The data revealed that the lncRNA CRNDE, LINC00957, AC072061.1, AC068888.1, and DBH-AS1 are potential diagnostic prognostic biomarkers in the GBM patients.

Conclusion: Altogether, we demonstrated lncRNA, and mRNA interaction and mentioned regulatory networks, considered a therapeutic option in GBM. In addition, we proposed potential diagnostic and prognostic biomarkers for the patients.