Gene/Protein Disease Symptom Drug Enzyme Compound
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Query: EC:2.7.11.26 (GSK)
 6,788 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Aneuploidy is a characteristic of the majority of human cancers, and recent work has suggested that mitotic checkpoint defects play a role in its development. To further explore this issue, we isolated a novel human gene, MAD2B (MAD2L2), which is homologous to the spindle checkpoint gene MAD2 (MAD2L1). We determined the chromosomal localization of it and other spindle checkpoint genes, including MAD1L1, MAD2, BUB3, TTK (MPS1L1), and CDC20. In addition, we resolved the genomic intron-exon structure of the human BUB1 gene. We then searched for mutations in these genes in a panel of 19 aneuploid colorectal tumors. No new mutations were identified, suggesting that genes yet to be discovered are responsible for most of the checkpoint defects observed in aneuploid cancers.
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PMID:Characterization of MAD2B and other mitotic spindle checkpoint genes. 1036 50

Identification of gene expression changes that improve prediction of survival time across all glioma grades would be clinically useful. Four Affymetrix GeneChip datasets from the literature, containing data from 771 glioma samples representing all WHO grades and eight normal brain samples, were used in an ANOVA model to screen for transcript changes that correlated with grade. Observations were confirmed and extended using qPCR assays on RNA derived from 38 additional glioma samples and eight normal samples for which survival data were available. RNA levels of eight major mitotic spindle assembly checkpoint (SAC) genes (BUB1, BUB1B, BUB3, CENPE, MAD1L1, MAD2L1, CDC20, TTK) significantly correlated with glioma grade and six also significantly correlated with survival time. In particular, the level of BUB1B expression was highly correlated with survival time (p<0.0001), and significantly outperformed all other measured parameters, including two standards; WHO grade and MIB-1 (Ki-67) labeling index. Measurement of the expression levels of a small set of SAC genes may complement histological grade and other clinical parameters for predicting survival time.
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PMID:The accuracy of survival time prediction for patients with glioma is improved by measuring mitotic spindle checkpoint gene expression. 2202 24