Microarray expression analysis was carried out to identify genes with a role in epithelial ovarian cancer (EOC). The U133A Affymetrix GeneChipRTM was used to determine the expression patterns of the 3p25.3-ptel genes represented on the microarray in 14 primary cultures of normal ovarian surface epithelial (NOSE) samples, 25 frozen malignant ovarian tumor samples and four EOC cell lines. Seven genes with differential expression patterns in the tumor samples compared to the NOSE samples were identified as candidates for further analysis, starting with ARPC4, SRGAP3 and ATP2B2. Although none of the candidates had been previously studied in ovarian cancer, several had either family or pathway members that had. Expression patterns seemed unaffected by either tumor histopathological subtype or the allelic imbalances observed with loss of heterozygosity (LOH) analysis. The absence of association with genomic context suggested that differential expression was the result of transcriptional regulation rather than direct targeting.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.112355 |
| Date | January 2008 |
| Creators | Rossiny, Vanessa Delphine. |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Master of Science (Department of Human Genetics.) |
| Rights | All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. |
| Relation | alephsysno: 002732198, proquestno: AAIMR51333, Theses scanned by UMI/ProQuest. |
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