Approaches toward improving the prognosis of pediatric patients with glioma: pursuing mutant drug targets with emerging small molecules

Comprehensive analysis of histone deacetylases genes in the prognosis and immune infiltration of glioma patients

The occurrence and development of tumors are closely related to histone deacetylases (HDACs). However, their relationship with the overall biology and prognosis of glioma is still unknown. In the present study, we developed and validated a prognostic model for glioma based on HDAC genes. Glioma patients can be divided into two subclasses based on eleven HDAC genes, and patients from the two subclasses had markedly different survival outcomes. Then, using six HDAC genes (HDAC1, HDAC3, HDAC4, HDAC5, HDAC7, and HDAC9), we established a prognostic model for glioma patients, and this prognostic model was validated in an independent cohort. Furthermore, the calculated risk score from six HDACA genes expression was found to be an independent prognostic factor that could predict the five-year overall survival of glioma patients well. High-risk patients have changes in multiple complex functions and molecular signaling pathways, and the gene alterations of high- and low-risk patients were significantly different. We also found that the different survival outcomes of high- and low-risk patients could be related to the differences in immune filtration levels and the tumor microenvironment. Subsequently, we identified several small molecular compounds that could be favorable for glioma patient treatment. Finally, the expression levels of HDAC genes from the prognostic model were validated in glioma and nontumor tissue samples. Our results revealed the clinical utility and potential molecular mechanisms of HDAC genes in glioma. A model based on six HDAC genes can predict the overall survival of glioma patients well, and these genes are potential therapeutic targets.

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

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 117 primary glioblastoma patients’ data that contained 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 these 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. Compared 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.

Overexpression of iASPP-SV in glioma is associated with poor prognosis by promoting cell viability and antagonizing apoptosis

Inhibitor of apoptosis-stimulating protein of p53 (iASPP), encoded by PPP1R13L gene, is often overexpressed in human cancers. From the PPP1R13L gene, at least two isoforms, iASPP-L and iASPP-SV, are produced through alternative splicing. However, the role of these isoforms in glioma is still elusive. In this study, we examined the expression of iASPP-SV in astrocytic glioma tissues with different grades and normal human cerebral tissues. The result showed a higher messenger RNA (mRNA) expression level of iASPP-SV in astrocytic glioma patients with World Health Organization (WHO) grade II to IV in comparison to the normal controls. Additionally, mRNA expression level of iASPP-SV was gradually increased with the raise of the grade in glioma. High mRNA expression level of iASPP-SV was significantly associated with malignant WHO grades (P < 0.001). The protein expression level of iASPP-SV was consistent with the mRNA expression level. The Kaplan-Meier analysis revealed that high iASPP-SV mRNA expression significantly affected overall survival and progression-free survival (both P < 0.001). Furthermore, multivariate analysis indicated that the mRNA expression of iASPP-SV was an independent prognostic marker in glioma (P < 0.001). To further explore the role of iASPP-SV in glioma, U87 cells were transfected with iASPP-SV by lentivirus and then treated with temozolomide (TMZ). Overexpression of iASPP-SV promoted the cell viability and downregulated the expression of pro-apoptosis genes (Bax, Puma, p21, and Noxa) to inhibit apoptosis induced by TMZ. Our study provides the first evidence that high iASPP-SV expression may be a novel prognostic factor and therapeutic target for glioma.