Sarker Arnob, Uddin Burhan, Ahmmed Reaz, Mahmud Sabkat, Ajadee Alvira, Pappu Md Al Amin, Aziz Md Abdul, Mollah Md Nurul Haque
Bioinformatics Lab (Dry), Department of Statistics, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Department of Biochemistry and Molecular Biology, University of Rajshahi, Rajshahi, 6205, Bangladesh.
Heliyon. 2025 Jan 16;11(2):e42052. doi: 10.1016/j.heliyon.2025.e42052. eCollection 2025 Jan 30.
Glioblastoma (GBM) is one of the most aggressive cancers due to its high mortality rate in spite of intensive treatment. It may be happened because of drug resistance against their typical receptors, since these receptor genes are often mutated by environmental stress. So identifying mutated oncodriver genes which could be used as potential drug target is essential in order to develop effective new therapeutic drugs as well as better prognosis for GBM patients. In this study, we analyzed whole exome sequencing (WES) profiles of NCBI database on GBM and matched-normal (control) samples originated from astrocyte like neural stem cells (NSC) of subventricular zone (SVZ) to explore GBM-causing mutated oncodriver genes, since SVZ is considered as the origin of GBM development. We detected 16 mutated oncodriver genes. Then, filtering by differential co-expression analysis based on independent RNA-Seq profiles of CGGA database revealed 10 genes as dysregulated oncodriver genes. Following that, 3 significantly overexpressed oncodriver genes (MTCH2, VWF, and WDR89) were identified as potential drug targets. Then molecular mechanisms of GBM development were investigated by these three overexpressed driver genes through gene ontology (GO), KEGG-pathways, Gene regulatory network (GRN) and mutation analysis. Finally, overexpressed oncodriver genes guided top-ranked six drug agents (Irinotecan, Imatinib, etoposide, pazopanib, trametinib and cabozanitinib) were recommended against GBM through molecular docking study. Most of our findings received support by the literature review also. Therefore, the findings of this study might carry potential values to the wet-lab researchers for further investigation in terms of diagnosis and therapies of GBM.
胶质母细胞瘤(GBM)是最具侵袭性的癌症之一,尽管进行了强化治疗,但其死亡率仍很高。这可能是由于对其典型受体产生耐药性所致,因为这些受体基因经常因环境压力而发生突变。因此,识别可作为潜在药物靶点的突变致癌驱动基因,对于开发有效的新型治疗药物以及改善GBM患者的预后至关重要。在本研究中,我们分析了NCBI数据库中GBM以及源自脑室下区(SVZ)星形胶质细胞样神经干细胞(NSC)的匹配正常(对照)样本的全外显子测序(WES)图谱,以探索导致GBM的突变致癌驱动基因,因为SVZ被认为是GBM发生的起源。我们检测到16个突变的致癌驱动基因。然后,基于CGGA数据库的独立RNA测序图谱,通过差异共表达分析进行筛选,发现10个基因是失调的致癌驱动基因。随后,确定了3个显著过表达的致癌驱动基因(MTCH2、VWF和WDR89)作为潜在的药物靶点。然后,通过基因本体论(GO)、KEGG通路、基因调控网络(GRN)和突变分析,研究了这三个过表达的驱动基因在GBM发生中的分子机制。最后,通过分子对接研究,推荐了针对GBM的六个排名靠前的过表达致癌驱动基因导向药物(伊立替康、伊马替尼、依托泊苷、帕唑帕尼、曲美替尼和卡博替尼)。我们的大多数研究结果也得到了文献综述的支持。因此,本研究的结果可能对湿实验室研究人员在GBM的诊断和治疗方面的进一步研究具有潜在价值。