It was found that expression of TP53 (HR 1.9, p = 31 x [10.sup.-7]) was associated with worse overall survival (OS) for glioma patients, as well as TOP2A (HR 4.4, p = 0), CDK1 (HR 4.8, p = 0), CCNB1 (HR 5.9, p = 0), CDC20 (HR 5.2, p = 0), CCNA2 (HR 5.1, p = 0), NDC80 (HR 5.8, p = 0), AURKA (HR 5.3, p = 0), BIRC5 (HR 5, p = 0), CCNB2 (HR 5.4, p = 0), KIF11 (HR 2.3, p = 15 x [10.sup.-10]), and MAD2L1 (HR 4.4, p = 0), while expression of PHLPP2 (HR 0.41, p = 1.3x [10.sup.-11]), DLG4 (HR 0.59, p = 35 x [10.sup.-5]), and MYC (HR 0.58, p = 2.1 x [10.sup.-5]) was associated with better overall survival (OS) for glioma patients (Figure 3).
Of these 15 hub genes, PHLPP2, DLG4, and MYC displayed significant positive correlation with overall survival while TP53, TOP2A, CDK1, CCNB1, CDC20, CCNA2, NDC80, AURKA, BIRC5, CCNB2, KIF11, and MAD2L1 negatively correlated with overall survival in patients with glioma.
Caption: Figure 3: Prognostic value of 15 genes (TP53, TOP2A, CDK1, PHLPP2, DLG4, CCNB1, MYC, CDC20, CCNA2, NDC80, AURKA, BIRC5, CCNB2, KIF11, and MAD2L1) in glioma patients.
(b) Expression level of DLG4 in cancer and normal tissues; * p < 0.05.
They apply their methods to find answers and explanations to some complex queries related to drug discovery (for example, "What are the genes that are targeted by the drug Epinephrine and that interact with the gene DLG4
?", "What are the genes related to the gene ADRB1 through a gene-gene relation chain of length at most three?" and "What are the most similar three genes that are targeted by the drug Epinephrine?") over the biomedical knowledge resources PharmGKB, DrugBank, BioGRID, CTD, SIDER, and Disease Ontology.