Metabolomics,Unknown,Transcriptomics,Genomics,Proteomics

Dataset Information

Ovarian Tumor Samples: mixed reference of 106 pooled ovarian samples vs. individual patient ovarian sample

ABSTRACT: The goal of the study was to identify molecular subgroups that might predict clinical outcomes in serous epithelial ovarian cancer (EOC) patients. A second objective was to identify potential therapeutic targets for serous EOC based on improved understanding of the molecular diversity of the disease. Ovarian tissues and matched peripheral blood samples were prospectively obtained from sequential patients undergoing planned gynecologic surgery at Cedars-Sinai Medical Center between 1989 and 2005. All patients underwent surgery and received adjuvant chemotherapy with a contemporaneous standard-of-care regimen. Ovarian tissue samples (n=172) were compared to a reference pool of 106 ovarian samples. Mixed reference includes normal, benign, borderline, and malignant samples.

ORGANISM(S): Homo sapiens

SUBMITTER: Judy Dering

PROVIDER: E-GEOD-51088 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Publications

POSTN/TGFBI-associated stromal signature predicts poor prognosis in serous epithelial ovarian cancer.

Karlan Beth Y BY Dering Judy J Walsh Christine C Orsulic Sandra S Lester Jenny J Anderson Lee A LA Ginther Charles L CL Fejzo Marlena M Slamon Dennis D

Gynecologic oncology 20131222 2

<h4>Objective</h4>To identify molecular prognosticators and therapeutic targets for high-grade serous epithelial ovarian cancers (EOCs) using genetic analyses driven by biologic features of EOC pathogenesis.<h4>Methods</h4>Ovarian tissue samples (n = 172; 122 serous EOCs, 30 other EOCs, 20 normal/benign) collected prospectively from sequential patients undergoing gynecologic surgery were analyzed using RNA expression microarrays. Samples were classified based on expression of genes with potentia ...[more]

PMID: 24368280

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Project description:Previously, we have identified the polypeptide N-acetylgalactosaminyltransferase 3 (GALNT3) gene as notably hypomethylated in low-malignant potential (LMP) and high-grade (HG) serous epithelial ovarian tumors, compared to normal ovarian tissues. Here we show that GALNT3 is strongly overexpressed in both LMP and HG serous EOC tumors, thus suggesting that epigenetic mechanisms might be implicated in GALNT3 overexpression in serous epithelial ovarian cancer (EOC). Moreover, GALNT3 expression significantly correlated with shorter progression-free survival (PFS) periods in serous EOC patients with advanced disease. Knockdown of the GALNT3 expression in EOC cells led to sharp decrease of cell proliferation and induced S-phase cell cycle arrest. Additionally, GALNT3 suppression significantly inhibited EOC cell migration and invasion. Gene expression profiling and consecutive network and pathway analyses confirmed these findings, as numerous genes and pathways known previously to be implicated in ovarian tumorigenesis, including EOC tumor invasion and metastasis, were found to be downregulated upon GALNT3 suppression, while some tumor suppressor genes were induced. Moreover, GALNT3 downregulation was associated with reduced MUC1 protein expression in EOC cells, probably related to destabilization of the MUC1 protein due to lack of GALNT3 glycosylation activity.Taken together, our data are indicative for a strong oncogenic potential of the GALNT3 gene in advanced EOC and identify this transferase as a novel EOC biomarker and putative EOC therapeutic target. Our findings also suggest that GALNT3 overexpression might contribute to ovarian etiology through aberrant mucin O-glycosylation. To better understand the molecular mechanisms of GALNT3 gene action in ovarian cancer cells, we employed the Agilent Whole Human Genome microarrays, containing ~ 44,000 genes to identify global gene expression changes upon GALNT3 suppression in A2780s cells. We compared the gene expression of the previously selected clone shRNA- GALNT3-knockdown clones 1 & 2 (sh-cl1 & sh-cl2) against the corresponding control (ctrl) clone. The microarray experiments were performed in duplicates, as four hybridizations were carried out for the GALNT3-suppressing cell clones against the corresponding control, using a fluorescent dye reversal (dye-swap) technique.

Dataset Information

Ovarian Tumor Samples: mixed reference of 106 pooled ovarian samples vs. individual patient ovarian sample

Publications

POSTN/TGFBI-associated stromal signature predicts poor prognosis in serous epithelial ovarian cancer.

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