GEO DataSets

(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) 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) 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) Genome wide mRNA expression profiling of 94 gastric tumours derived from Australian based cohort was performed. . From this data we identified a cluster of co-expressed genes termed the stromal response cluster which almost perfectly differentiates tumor from its non-malignant gastric tissue and hence can be regarded as a highly tumor-specific gene expression signature. We show that these genes are consistently co-expressed across a range of independent gastric datasets as well as other cancer types suggesting a conserved functional role in cancer.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

94 Samples

Download data: CEL

(Submitter supplied) Advanced-stage ovarian cancer is one of the most lethal gynecologic malignancies. To improve prognosis of patients with ovarian cancers, a predictive biomarkers leading to personalized treatments are required. In this large-scale cross-platform study of six microarray datasets consisting of 1054 ovarian cancer patients, we developed a novel risk classification system based on a 126-gene expression signature for predicting overall survival by applying elastic net7 and 10-fold cross validation to a Japanese dataset A (n = 260). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL6480

40 Samples

Download data: TXT

(Submitter supplied) The Japanese Serous Ovarian Cancer Study Group Advanced-stage ovarian cancer is one of the most lethal gynecologic malignancies. To improve prognosis of patients with ovarian cancers, a predictive biomarkers leading to personalized treatments are required. In this large-scale cross-platform study of six microarray datasets consisting of 1054 ovarian cancer patients, we developed a novel risk classification system based on a 126-gene expression signature for predicting overall survival by applying elastic net7 and 10-fold cross validation to a Japanese dataset A (n = 260). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL570 GPL6480

270 Samples

Download data: CEL, TXT

(Submitter supplied) In this study, we profiled gene expressions on 20 biopsy tissues of early stage breast carcinoma using Applied Biosystem’s Human Genome Survey Microarrays. Two main previously defined clinically relevant subtypes of breast tumors, Luminal A (longest survival time) and Basal (shortest survival time) were identified. Statistical analysis identified 1210 genes as signature genes characterizing the two subtypes of breast cancer. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platforms:

GPL1843 GPL1426 GPL1708

80 Samples

Download data

(Submitter supplied) Biologically and clinically meaningful tumor classification schemes have long been sought. Some malignant epithelial neoplasms, such as those in the thyroid and endometrium, exhibit more than one pattern of differentiation, each associated with distinctive clinical features and treatments. In other tissues, all carcinomas, regardless of morphological type, are treated as though they represent a single disease. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL80

113 Samples

Download data: CEL, TXT

(Submitter supplied) Mutations in BRCA1 and BRCA2 genes confer an increased lifetime risk for breast and ovarian cancer. Ovarian cancer risk can be decreased by risk-reducing salpingo-oophorectomy (RRSO). Studies on RRSO material have altered the paradigm of serous ovarian cancer pathogenesis. The purpose of this study was to identify candidate genes possibly involved in pathogenesis of serous ovarian cancer by carrying out a microarray analysis of differentially expressed genes in BRCA1/2- mutation positive ovarian and fallopian tube epithelium derived from RRSO surgery. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL19832

22 Samples

Download data: CEL

(Submitter supplied) Gene expression was analysed in 68 stage I ovarian cancers and 15 borderline samples using microarrays. Tumors were obtained directly at surgery and immediately frozen in liquid nitrogen until analysis. Glass arrays containing 16000 genes were used. Data was interpreted by unsupervised and supervised analysis. All tumors had a wild-type p53. Unsupervised analysis identified eight major clusters one of which was statistically associated to overall survival, grading and histotype (cluster C) and another with grading and histotype (cluster D). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5689

83 Samples

Download data: TXT

(Submitter supplied) Gene expression was analysed in 68 stage I ovarian cancers and 15 borderline samples using microarrays. Tumors were obtained directly at surgery and immediately frozen in liquid nitrogen until analysis. Glass arrays containing 16000 genes were used. Data was interpreted by unsupervised and supervised analysis. All tumors had a wild-type p53. Unsupervised analysis identified eight major clusters one of which was statistically associated to overall survival, grading and histotype (cluster C) and another with grading and histotype (cluster D). more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL5689

83 Samples

Download data: TXT

(Submitter supplied) Objectives: MicroRNAs (miRNAs) are a class of small non-coding RNAs that negatively regulate gene expression primarily through post-transcriptional modification. We tested the hypothesis that miRNA expression is associated with overall survival in advanced ovarian cancer. Methods: Cases included newly diagnosed patients with stage III or IV serous ovarian cancer. RNA from a training set of 62 cases was hybridized to an miRNA microarray containing 470 mature human transcripts. more...

Organism:

Homo sapiens

Type:

Non-coding RNA profiling by array

Platform:

GPL7341

62 Samples

Download data: TXT

(Submitter supplied) To date, a variety of studies have employed gene expression profiling to classify ovarian carcinomas in clinically relevant subtypes. These studies provided valuable first clues to molecular changes in ovarian cancer that might be exploited in new treatment strategies. However, most studies were of relatively limited size and the number of overlapping genes in the identified profiles was minimal. Although identification of gene expression profiles associated with clinically relevant subtypes in ovarian cancer is important, knowledge is now emerging rapidly on how genes interact in pathways, networks and complexes; this allows us to unravel those cellular pathways determining the biological behavior of ovarian cancer, that might be successfully targeted with drugs. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL7759

415 Samples

Download data: XLS

(Submitter supplied) LIMD2 is involved in the invasion and metastasis of ovarian cancer. This study focused on knock down of the LIMD2 in the A2780 ovarian cancer cells. The potential mechanism of the function of LIMD2 was analysised.

Organism:

Homo sapiens

Type:

Expression profiling by high throughput sequencing

Platform:

GPL24676

3 Samples

Download data: XLSX

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

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

75 Samples

Download data: CEL

(Submitter supplied) To demonstrate the use of a whole-genome oligonucleotide array to perform expression profiling on a series of microdissected late-stage, high-grade papillary serous ovarian adenocarcinomas to establish a prognostic gene signature correlating with survival and to identify novel survival factors in ovarian cancer. Advanced stage papillary serous tumors of the ovary are responsible for the majority of ovarian cancer deaths, yet the molecular determinants modulating patient survival are poorly characterized. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

63 Samples

Download data: CEL

(Submitter supplied) Identification of signaling events contributing to the effect of recombinant MAGP2 on HUVECs and OVCA429. We used microarrays to identify the signaling events and up-regulated genes associated with MAGP2.

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL570

12 Samples

Download data: CEL, TXT