GEO DataSets

(Submitter supplied) Epithelial ovarian cancer is morphologically and clinically heterogeneous. Transcriptional profiling has revealed molecular subtypes (referred to as “C-signatures”) that correlate to biological as well as clinical features. We aimed to determine gene expression differences between malignant, benign and borderline serous ovarian tumors, and to investigate similarities to the intrinsic molecular subtypes of breast cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

72 Samples

Download data: TXT

(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) Gene expression-based molecular subtypes of high grade serous tubo-ovarian cancer (HGSOC) are distinguished by differential immune and stromal infiltration and may provide opportunities for the development of targeted therapies. Integration of molecular subtypes into clinical trials has been hindered by inconsistent subtyping methodology. Adopting two independent approaches, we derived and internally validated algorithms for molecular subtype prediction from gene-expression array data in 1650 tumors. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL27054

4077 Samples

Download data: CSV

(Submitter supplied) https://www.nanostring.com/support/product-support/support-documentation

Organism:

Homo sapiens

1 Series

4077 Samples

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

295 Samples

Download data: CEL, CSV

(Submitter supplied) We used microarrays to profile the expression levels of 285 ovarian samples in order to identify molecular subtypes of the tumour Keywords: disease state analysis

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

285 Samples

Download data: CEL, CSV

(Submitter supplied) We used microarrays to profile the expression levels of 5 tumour samples Keywords: expression difference of cell types in tumour samples

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

10 Samples

Download data: CEL, CSV

(Submitter supplied) Several studies described a role for the E2F/Rb pathway in ovarian serous carcinomas (SCAs). Since E2F/Rb pathway deregulation is a general hallmark of human cancer, it remains unclear whether this deregulation is of particular importance in SCAs or whether it reflects a common oncologic feature. Here, we attempted to clarify this issue by the examination of microarray expression profiles of SCAs (10 SCA1s, 15 SCA3s) and particularly by the comparison with another, less malignant, ovarian cancer type, serous borderline tumours (13 SBTs). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL201

39 Samples

Download data: CEL

(Submitter supplied) Serous borderline tumours (SBOT) are a challenging group of ovarian tumours positioned between benign and malignant disease. We have profiled the DNA methylomes of 12 low grade serous carcinoma (LGSC), 19 SBOT and 16 benign serous tumours (BST) across 27,578 CpG sites to further characterise the epigenomic relationship between these subtypes of ovarian tumours. Unsupervised hierarchical clustering of DNA methylation levels showed that LGSC differ distinctly from BST, however, not from SBOT. more...

Organism:

Homo sapiens

Type:

Methylation profiling by array

Platform:

GPL8490

51 Samples

Download data: TXT

(Submitter supplied) The goal of the study was to collect ovarian cancer samples for gene expression profiling (n = 529). The data will be used in several publications, the first of which described molecular signatures associated with high-grade serous ovarian cancer subtype

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

529 Samples

Download data: TXT

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

Organism:

Homo sapiens

Type:

Expression profiling by array; Non-coding RNA profiling by array

Platforms:

GPL10656 GPL14550

806 Samples

Download data: TXT

(Submitter supplied) Background: Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify integrated subtypes. Methods: Tumor tissue from 425 primary breast cancer patients of the Oslo2 study was cut and blended before being divided into fractions for DNA-, RNA- and protein isolation, and metabolomics, allowing for representative and comparable molecular data. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL10656

425 Samples

Download data: TXT

(Submitter supplied) Background: Breast cancer is a heterogeneous disease at the clinical and molecular level. In this study we integrate classifications extracted from five different molecular levels in order to identify integrated subtypes. Methods: Tumor tissue from 425 primary breast cancer patients of the Oslo2 study was cut and blended before being divided into fractions for DNA-, RNA- and protein isolation, and metabolomics, allowing for representative and comparable molecular data. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL14550

381 Samples

Download data: TXT

(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) 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) Low-grade ovarian serous carcinomas are believed to arise via an adenoma-serous borderline tumor-serous carcinoma sequence. In this study, we found that advanced-stage, low-grade ovarian serous carcinomas both with and without adjacent serous borderline tumor shared similar regions of loss of heterozygosity. We then analyzed 91 ovarian tumor samples for mutations in TP53, BRAF, and KRAS. TP53 mutations were not detected in any serous borderline tumors (n = 30) or low-grade serous carcinomas (n = 43) but were found in 73% of high-grade serous carcinomas (n = 18). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

10 Samples

Download data: CEL