GEO DataSets

(Submitter supplied) 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. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL7264

172 Samples

Download data: TXT

(Submitter supplied) We have looked for fusion genes in ovarian carcinomas. We combined previously known genomic aberrations, detected by karyotyping, and gene expression analysis. We found recurrent DPP9 gene expression deregulation with matching translocations. In additon, candidate fusion partner genes from the exon-level expression analysis were ranked according to deviating expression compared to the median of the sample set. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5188

19 Samples

Download data: CEL, CHP

(Submitter supplied) This SuperSeries is composed of the SubSeries listed below.

Organism:

Homo sapiens

Type:

Expression profiling by array; Genome variation profiling by SNP array

4 related Platforms

68 Samples

Download data: CEL

(Submitter supplied) Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differences in genomic copy number changes between co-existing borderline and invasive components of serous carcinoma.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL8887

14 Samples

Download data: TXT

(Submitter supplied) Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted.We sought to identify differences in genomic copy number changes between co-existing borderline and invasive components of serous carcinoma.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL18643

10 Samples

Download data: TXT

(Submitter supplied) Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differences in genomic copy number changes in borderline and invasive components of serous carcinoma.

Organism:

Homo sapiens

Type:

Genome variation profiling by SNP array

Platform:

GPL13135

30 Samples

Download data: TXT

(Submitter supplied) Low-grade serous ovarian carcinomas are typically Ras-pathway mutated, TP53 wild-type, have limited chromosomal aberration, and are frequently associated with borderline tumors. By contrast, high-grade serous ovarian carcinoma lack Ras-pathway mutations, are invariably TP53 mutated, show widespread genomic change, and are commonly BRCA-pathway disrupted. We sought to identify differentially expressed genes between co-existing borderline and invasive components of serous carcinoma.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6244

14 Samples

Download data: CEL

(Submitter supplied) Previously, we have identified cytosolic form of the branched chain amino-acid transaminase 1 (BCAT1) 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 BCAT1 is strongly overexpressed in both LMP and HG serous EOC tumors, thus suggesting that epigenetic mechanisms might be implicated in BCAT1 overexpression in serous epithelial ovarian cancer (EOC). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL4133

4 Samples

Download data: TXT

(Submitter supplied) In our previous microarray study we identified two subgroups of high-grade serous ovarian cancers with distinct gene expression and different survival. Among differentially expressed genes was an Integrin beta-like 1 (ITGBL1), coding for a poorly characterized protein comprised of ten EGF-like repeats. In this study we investigated ITGBL1 influence on ovarian cancer cells phenotype. Using various functional assays we found that ITGBL1 overexpression affected cellular adhesion, migration and invasiveness, while it had no effect on proliferation rate and the cell cycle. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL28460

18 Samples

Download data: CEL

(Submitter supplied) The introduction of microarray techniques to cancer research brought great expectations for finding biomarkers that would improve patients’ treatment; however, the results of such studies are poorly reproducible and critical analyses of these methods are rare. In this study, we examined global gene expression in 97 ovarian cancer samples. Also, validation of results by quantitative RT-PCR was performed on 30 additional ovarian cancer samples. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

101 Samples

Download data: CEL

(Submitter supplied) Purpose: Investigate cellular heterogeneity in a fresh human ovarian cancer tissue sample Methods: Enzymatic digestion of fresh tissue sample collected from the operating room to produce single cell suspension. Cells were labelled with fluorescent antibodies to CD3, CD14, CD19, CD20, CD56 and FACS sorted to remove immune cells. The negative population was used for sequencing. Single cells were processed using the Fluidigm C1 Chip to generate barcoded cDNA for each cell. more...

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL16791

93 Samples

Download data: TXT

(Submitter supplied) Purpose: The majority of patients with epithelial ovarian cancer (EOC) is diagnosed at advanced stage and has a poor prognosis. A proportion of these patients though will fare well, with a prognosis similar to patients with early stage disease while others die very quickly. Clinicopathological prognostic factors do not allow precise identification of these subgroups. Thus we have validated a molecular subclassification as prognostic factor in EOC. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL2986

204 Samples

Download data: TXT

(Submitter supplied) Microarrays were used to examine gene expression changes in the surgical resections of high-grade serous ovarian cancer patients exhibiting clinically distinct levels of ascites volume. The present studies primary aim was to determine if there is a molecular gene expression difference between the patients presenting at time of surgery when high volumes ascites cases were compared to those with low volume ascites. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

19 Samples

Download data: TXT

(Submitter supplied) PURPOSE: We investigated whether tumor tissue obtained at diagnosis expresses a specific gene profile that is predictive of findings at second-look surgery in patients with epithelial ovarian cancer (EOC). PATIENTS AND METHODS: Tumor tissue obtained at the time of diagnosis was profiled with oligonucleotide microarrays. Class prediction analysis was performed in a training set of 24 patients who had undergone a second-look procedure. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL8300

58 Samples

Download data: CEL

(Submitter supplied) We previously generated genetically engineered mouse (GEM) models based on perturbation of Tp53, Rb with or without Brca1 or Brca2 that develop serous epithelial ovarian cancer (SEOC) closely resembling the human disease on histologic and molecular levels. We have adapted these GEM models to orthotopic allografts that uniformly develop tumors with short latency in immunocompetent recipients and are ideally suited for routine preclinical studies. more...

Organism:

Mus musculus

Type:

Expression profiling by array

Platform:

GPL1261

59 Samples

Download data: CEL, TXT

(Submitter supplied) Background: Resistance to platinum-based chemotherapy remains a major impediment in the treatment of serous epithelial ovarian cancer. The objective of this study was to use gene expression profiling to delineate major deregulated pathways and biomarkers associated with the development of intrinsic chemotherapy resistance upon exposure to standard first-line therapy for ovarian cancer. Methods: The study cohort comprised 28 patients divided into two groups based on their varying sensitivity to first-line chemotherapy using progression free survival (PFS) as a surrogate of response. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS4950

Platform:

GPL570

28 Samples

Download data: CEL

Analysis of tumors from high-grade serous ovarian cancer patients resistant or sensitive to platinum-based chemotherapy. Tumor samples collected prior to chemotherapy. Results identify a gene expression profile associated with intrinsic chemotherapy resistance.

Organism:

Homo sapiens

Type:

Expression profiling by array, count, 10 disease state, 2 specimen sets

Platform:

GPL570

Series:

GSE51373

28 Samples

Download data: CEL

(Submitter supplied) Ovarian cancer is the most lethal malignancy in the United States. While studies on ovarian cancer pathogenesis were mainly focused on the epithelial component of the tumor, understanding in the role of cancer associated fibroblasts (CAFs) in ovarian cancer progression is limited. In the present study, we describe the use of microdissected transcriptome profiles for the identification of cancer–stroma crosstalk networks with prognostic value, which presents a unique opportunity for developing new treatment strategies for ovarian cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

96 Samples

Download data: CEL

(Submitter supplied) OBJECTIVES: The molecular pathogenesis of ovarian serous tumors of low malignant potential (S-LMP) is not well understood, although the collective data suggest that they arise through molecular mechanisms distinct from those leading to conventional serous carcinomas (S-Ca). To further examine the molecular differences between these two diseases, we studied the gene expression pattern of ovarian S-LMP and S-Ca using high-density spotted cDNA and tissue microarrays. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL2790

23 Samples

Download data

(Submitter supplied) High-grade serous ovarian carcinoma (HGSOC) is generally associated with a very dismal prognosis. Nevertheless, patients with similar clinicopathological characteristics can have markedly different clinical outcomes. Our aim was the identification of novel molecular determinants influencing survival. Gene expression profiles of 12 HGSOC long-term and 27 short-term survivors (training set) were generated by microarray, and a prognostic signature was identified and further evaluated on an independent extensive HGSOC dataset through a meta-analysis approach.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL96 GPL570

39 Samples

Download data: CEL, XLSX