Gene/Protein Disease Symptom Drug Enzyme Compound
Pivot Concepts:   Target Concepts:
Query: UMLS:C0476089 (endometrial cancer)
11,379 document(s) hit in 31,850,051 MEDLINE articles (0.00 seconds)

Endometrial carcinoma (EC) comprises at least two types of cancer: endometrioid carcinomas (EECs) are estrogen-related tumors, which are frequently euploid and have a good prognosis. Nonendometrioid carcinomas (NEECs; serous and clear cell forms) are not estrogen related, are frequently aneuploid, and are clinically aggressive. We used cDNA microarrays containing 6386 different genes to analyze gene expression profiles in 24 EECs and 11 NEECs to identify differentially expressed genes that could help us to understand differences in the biology and clinical outcome between histotypes. After supervised analysis of the microarray data, there was at least a 2-fold difference in expression between EEC and NEEC in 66 genes. The 31 genes up-regulated in EECs included genes known to be hormonally regulated during the menstrual cycle and to be important in endometrial homeostasis, such as MGB2, LTF, END1, and MMP11, supporting the notion that EEC is a hormone-related neoplasm. Conversely, of the 35 genes overexpressed in NEECs, three genes, STK15, BUB1, and CCNB2, are involved in the regulation of the mitotic spindle checkpoint. Because STK15 amplification/overexpression is associated with aneuploidy and an aggressive phenotype in other human tumors, we used fluorescence in situ hybridization to investigate whether STK15 amplification occurred in ECs. We found that STK15 was amplified in 55.5% of NEECs but not in any EECs (P <or= 0.001). We confirmed this result in an independent series of ECs included in a tissue microarray in which breast and ovarian cancer samples showed an incidence of STK15 amplification of 15 and 18%, respectively (P <or= 0.001). This study demonstrated the usefulness of cDNA microarray technology for identifying differences in gene expression patterns between histological types of EC and implies that alteration of the mitotic checkpoint is a major mechanism of carcinogenesis in NEECs.
...
PMID:Differential gene expression profile in endometrioid and nonendometrioid endometrial carcinoma: STK15 is frequently overexpressed and amplified in nonendometrioid carcinomas. 1452 86

Endometrial carcinoma(EC) is the most common cancer of female reproductive system, thus requiring for new effective biomarkers which could predict the onset of EC and poor prognosis. Our study integrated two GEO datasets(i.e.GSE63678, GSE17025) and TCGA(The Cancer Genome Atlas ) UCEC data to screen out 344 common differentially expressed genes(DEGs), which were further analyzed by GO(gene ontology) functions and KEGG(Kyoto Encyclopedia of Gene and Genome) pathways. KEGG analysis results showed these DEGs were mainly enriched in cell cycle, oocyte meiosis, cellular senescence, carbon metabolism and p53 signaling pathway. Top 20 hub genes with higher degree were selected from PPI(protein-protein interaction) network and 15 of them were associated with the prognosis of EC, that is, CCNB2, CDC20, BUB1B, UBE2C, AURKB, FOXM1, NCAPG, RRM2, TPX2, DLGAP5, CDCA8, CDC45, MKI67, BUB1, KIF2C. UBE2C(Ubiquitin Conjugating Enzyme E2 C) was chosen for further validation in TCGA cohort on mRNA level and in our patient samples on protein level by immunohistochemistry. UBE2C was significantly highly expressed in endometrial carcinoma, and its expression level was associated with advanced FIGO staging and poor prognosis. Cox risk model demonstrated high UBE2C expression was an independent risk factor. Somatic mutations, elevated copy number, DNA hypomethylation all contributed to its overexpression. Therefore, by combination of bioinformatics and experiment, our study provided a unique insight into the pathogenesis and molecular mechanisms underlying EC and discovered new biomarkers for early diagnosis and prognostic prediction. UBE2C could serve as a potential marker to predict poor prognosis and as a therapeutic target.
...
PMID:Combining Bioinformatics and Experiments to Identify and Verify Key Genes with Prognostic Values in Endometrial Carcinoma. 3194 95