Abstract
INTRODUCTION: Brain tumors remain challenging to treat despite diagnostic advancements. Current approaches involving surgery, radiotherapy, and chemotherapy tend to fail due to drug resistance. Our team identified potential biomarkers associated with aggressive brain tumors, including ORC6 and GPC4. ORC6, implicated in DNA replication and overexpressed in many cancers, presents a promising therapeutic target. In this study, we leverage advanced bioinformatics and experimental validation to further elucidate ORC6's potential for cancer treatment. Material and methods: This study uses R programming and packages to identify biomarkers from genomic databases like TCGA, CGGA, and GLASS. Protein expression is also assessed via tissue microarray and immunohistochemistry. Changes in the ORC6 gene are studied using GO, KEGG, and gene set enrichment analysis techniques. The tumor microenvironment is predicted using CIBERSORT. RESULTS: are presented with 3D CLARITY images, and a deep learning algorithm is introduced for potential clinical application optimization. RESULTS: Utilizing bioinformatics analyses, we identified ORC6 and GPC4 as potential biomarkers impacting tumor growth. This study focuses on ORC6, which demonstrated significantly increased expression in IDH-wildtype astrocytoma versus normal brain tissue. This heightened ORC6 expression correlated with tumor grading, poor prognosis, and increased KI67 expression in all glioma subgroups. ATAC sequencing and gene set enrichment analysis revealed E2F factors as potential ORC6 regulators and showed that increased ORC6 expression affected cell proliferation signaling pathways. Single-cell sequencing data further indicated ORC6 expression correlation with tumor cells, proliferative stem cells, and M0, M1, and M2 macrophages. Additionally, high ORC6 expression was observed in several brain tumor cell lines (U87MG, U118MG, LN229, GBM8401) that could be down-regulated using siRNA, paving the way for more complex gene editing and functional modeling experiments. CONCLUSION: This study employs sophisticated bioinformatics and experimental validation techniques to explore the potential of targeting ORC6 for cancer therapy. Keywords: ORC6, Glioblastoma, TCGA, CGGA, GLASS, biomarker