Candraningrum Veronica Hesti, Wanandi Septelia Inawati, Paramita Rafika Indah
Master's Program in Biomedical Sciences, Faculty of Medicine, Universitas Indonesia, Jakarta Indonesia.
Department of Biochemistry and Molecular Biology, Faculty of Medicine, Universitas Indonesia, Jakarta, Indonesia.
Asian Pac J Cancer Prev. 2024 Dec 1;25(12):4435-4446. doi: 10.31557/APJCP.2024.25.12.4435.
Glioblastoma multiforme (GBM) is an aggressive brain tumor that primarily affects adults. The Stupp Protocol, which includes surgical resection, chemoradiation, and monotherapy with temozolomide (TMZ), is the standard treatment regimen for GBM. However, repeated use of TMZ leads to resistance in GBM cells, resulting in a poor prognosis for patients. This resistance is driven by several intrinsic factors. This study aims to identify potential biomarkers of resistance associated with stemness.
We utilized datasets from GEO, performed Venn diagram intersection analysis, conducted GO enrichment analysis using DAVID and ENRICHR, carried out pathway enrichment analysis with KEGG and REACTOME, and executed survival analysis with GEPIA. Additionally, we compared mRNA expression using the Human Protein Atlas and validated our findings with qRT-PCR.
We identified that PAQR6 and ITPKB mRNA expression was consistently higher in TMZ-resistant T98G cells, but TGFBI mRNA expression was found to be significantly higher in TMZ-resistant T98G cells compared to U87MG cells. In addition, a significantly higher CD133 mRNA expression as a stemness marker was found in T98G cells compared to U87MG cells. It is hoped that the acquired disease-related resistance biomarker candidates will be able to be used at the clinical level in terms of non-invasive early detection in GBM patients. However, additional research is required to validate the findings of this preliminary biomarker discovery study.
多形性胶质母细胞瘤(GBM)是一种主要影响成人的侵袭性脑肿瘤。包含手术切除、放化疗以及替莫唑胺(TMZ)单药治疗的Stupp方案是GBM的标准治疗方案。然而,重复使用TMZ会导致GBM细胞产生耐药性,从而使患者预后不良。这种耐药性由多种内在因素驱动。本研究旨在确定与干性相关的潜在耐药生物标志物。
我们利用来自基因表达综合数据库(GEO)的数据集,进行维恩图交叉分析,使用DAVID和ENRICHR进行基因本体(GO)富集分析,用京都基因与基因组百科全书(KEGG)和Reactome进行通路富集分析,并用GEPIA进行生存分析。此外,我们使用人类蛋白质图谱比较mRNA表达,并通过定量逆转录聚合酶链反应(qRT-PCR)验证我们的发现。
我们发现,PAQR6和ITPKB的mRNA表达在TMZ耐药的T98G细胞中始终较高,但与U87MG细胞相比,TGFBI的mRNA表达在TMZ耐药的T98G细胞中显著更高。此外,与U87MG细胞相比,T98G细胞中作为干性标志物的CD133 mRNA表达显著更高。希望所获得的与疾病相关的耐药生物标志物候选物能够在GBM患者的无创早期检测的临床层面上得到应用。然而,需要进一步的研究来验证这项初步生物标志物发现研究的结果。