GEO DataSets

Analysis of 36M2 epithelial ovarian cancer cells (EOC) treated with 100 uM carboplatin for up to 36 hours. Gene expression profile compared to those from ovarian cells of patients with unfavorable and favorable outcomes. Results provide insight into the mechanism of drug resistance in EOC.

Organism:

Homo sapiens

Type:

Expression profiling by array, transformed count, 2 agent, 3 time sets

Platform:

GPL570

Series:

GSE13525

12 Samples

Download data: CEL

(Submitter supplied) We performed a time-course microarray experiment to define the transcriptional response to carboplatin in vitro, and to correlate this with clinical outcome in epithelial ovarian cancer (EOC). RNA was isolated from carboplatin and control-treated 36M2 ovarian cancer cells at several time points, followed by oligonucleotide microarray hybridization. Carboplatin induced changes in gene expression were assessed at the single gene as well as at the pathway level. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Dataset:

GDS3792

Platform:

GPL570

12 Samples

Download data: CEL

(Submitter supplied) The aim of this study was to evaluate whether micro-RNA signature in tumor tissues from low-risk Endometrial Cancer women can be correlated with the occurrence of recurrences MicroRNA expression was assessed by chip analysis in 7 formalin-fixed paraffin-embedded (FFPE) LREC primary tumors from women whose follow up showed recurrences (R+) and in 14 FFPE LREC primary tumors from women whose follow up did not show any recurrence (R-), matched for grade and age.

Organism:

Homo sapiens; synthetic construct

Type:

Expression profiling by array

Platform:

GPL23587

21 Samples

Download data: CEL

(Submitter supplied) Carboplatin and paclitaxel are the most widely prescribed chemotherapeutic agents for ovarian cancer. Not all patients respond to treatment, so there is a need for biomarkers that reliably predict resistance in ovarian tumors. Expression of such biomarkers may be dynamically controlled. Gene expression was assessed for a period of 14 days after treatment with carboplatin or combined carboplatin-paclitaxel in xenografts from two ovarian cancer models: chemosensitive serous adenocarcinoma derived OV1002 and slow growing, chemoresistant HOX424 of clear cell origin. more...

Organism:

Homo sapiens

Type:

Expression profiling by array

Platform:

GPL10558

101 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) 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) 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