LAB-MOLECULAR EPIDEMIOLOGY

ABSTRACT: Gliomas are the most common type of central nervous system tumors. Almost all patients diagnosed with these tumors have a poor prognostic outcome. We aimed to identify novel glioma prognosis-associated candidate genes. We used WebArrayDB software to integrate and analyze 771 glioma microarray datasets (WHO II-IV). We focused on a subset of the significantly up-regulated genes, the minichromosome maintenance (MCM) family. We used 59 glioma frozen samples (F/M 18/21, age 38.9 ± 14.3y, 14 II grade, 21 III grade and 24 IV grade). The samples consisted of AO (n = 27), AA (n = 9), and GBM (n = 23). We also used 6 control samples: trauma (n = 4) and epilepsy (n = 2). The frozen samples predict the relationship between the expression of MCMs and patients outcome by qPCR. We found that MCM expressi

SUBMITTER: Bie L 

PROVIDER: S-EPMC3488779 | biostudies-literature | 2012 Oct

REPOSITORIES: biostudies-literature