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Series GSE51927 Query DataSets for GSE51927
Status Public on Oct 30, 2013
Title Expression analysis of murine primary and derived orthotopic SEOC tumors
Organism Mus musculus
Experiment type Expression profiling by array
Summary 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. To monitor passaged tumors at the molecular level, we analyzed transcriptional profiles of a set of primary SEOC and matching derived passaged tumors. We have merged this dataset with previously published ( doi: 10.1158/0008-5472.CAN-11-3834; PMID 22617326) dataset of murine primary ovarian tumors from our GEM models (GSE46169) and merged and compared them to expression profiles of human dataset published previously (doi: 10.1038/nature10166).
The high mortality rate from ovarian cancers can be attributed to late-stage diagnosis and lack of effective treatment. Despite enormous effort to develop better targeted therapies, platinum-based chemotherapy still remains the standard of care for ovarian cancer patients, and resistance occurs at a high rate. One of the rate limiting factors for translation of new drug discoveries into clinical treatments has been the lack of suitable preclinical cancer models with high predictive value. 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. Here, we describe an adaptation of these GEM models to orthotopic allografts that uniformly develop tumors with short latency and are ideally suited for routine preclinical studies.
 
Overall design RNA was isolated from flash frozen ovarian tumors using Trizol and Qiagen RNeasy columns
 
Contributor(s) Szabova L
Citation(s) 24748377
Submission date Oct 30, 2013
Last update date Feb 11, 2019
Contact name Ludmila Szabova
Organization name Frederick National Laboratory for Cancer Research
Department CAPR
Street address 1050 Boyles Street
City Frederick
State/province MD
ZIP/Postal code 21702
Country USA
 
Platforms (1)
GPL1261 [Mouse430_2] Affymetrix Mouse Genome 430 2.0 Array
Samples (59)
GSM1255370 SEOC_48_1
GSM1255371 SEOC_15825_1
GSM1255372 SEOC_21981_1
Relations
BioProject PRJNA225826

Download family Format
SOFT formatted family file(s) SOFTHelp
MINiML formatted family file(s) MINiMLHelp
Series Matrix File(s) TXTHelp

Supplementary file Size Download File type/resource
GSE51927_Combat_merged_HsMm_NewOldData_and_TCGA_N40T90.txt.gz 15.5 Mb (ftp)(http) TXT
GSE51927_RAW.tar 230.7 Mb (http)(custom) TAR (of CEL)
Raw data provided as supplementary file
Processed data included within Sample table
Processed data is available on Series record

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