AUTHOR=Yuan Yang , Qi Pan , Xiang Wang , Yanhui Liu , Yu Li , Qing Mao 

TITLE=Multi-Omics Analysis Reveals Novel Subtypes and Driver Genes in Glioblastoma

JOURNAL=Frontiers in Genetics

VOLUME=Volume 11 - 2020

YEAR=2020

URL=https://www.frontiersin.org/journals/genetics/articles/10.3389/fgene.2020.565341

DOI=10.3389/fgene.2020.565341

ISSN=1664-8021

ABSTRACT=Glioblastoma is the most lethal malignant primary brain tumor, nevertheless, there remains a lack of accurate prognostic markers and drug targets. In this study, we analyzed 117primary glioblastoma patients’ data which all contained the SNP, DNA copy, DNA methylation, mRNA expression and clinical information. After the quality of control examination, we conducted the single nucleotide polymorphism (SNP) analysis, copy number variation (CNV) analysis and infiltrated immune cells estimate. And moreover, by using the cluster of cluster analysis (CoCA) methods, we finally divided theses GBM patients into two novel subtypes, HX-1(Cluster 1) and HX-2 (Cluster 2), which could be co-characterized by 3 methylation variable positions (cg16957313(DUSP1)，cg17783509(PHOX2B)，cg23432345(HOXA7)) and 15 (PCDH1, CYP27B1 , LPIN3, GPR32, BCL6, OR4Q3, MAGI3, SKIV2L, PCSK5, AKAP12, UBE3B, MAP4, TP53BP1, F5, RHOBTB1) gene mutations pattern. Comparing to HX-1 subtype, the HX-2 subtype was identified with higher gene co-occurring events, tumor mutation burden (TBM) and poor median overall survival (231.5 days (HX-2) VS 445 days (HX-1), p-value =0.00053). We believe that HX-1 and HX-2 subtypes may make sense as the potential prognostic biomarkers for patients with glioblastoma.