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Series GSE8991 Query DataSets for GSE8991
Status Public on Aug 20, 2011
Title A Gene Expression-Based Risk Stratification Model for Newly Diagnosed Multiple Myeloma
Organism Homo sapiens
Experiment type Expression profiling by array
Summary We recently defined a gene expression-based signature of high-risk multiple myeloma; this predictive signature was developed with and independently validated for newly diagnosed patients treated with high dose therapy and stem cell rescue. Here we use Phase 3 clinical trial data to show that this signature also predicts short survival in relapsed disease treated with single agent bortezomib or high dose dexamethasone. In addition, a survival signature derived with relapsed myeloma samples identified newly diagnosed patients with short survival. Taken together these data suggest that a similar biology underlies poor outcome in both newly diagnosed and relapsed myeloma and provide strong evidence that the high-risk signature is a powerful tool to identify patients who are candidates for new therapeutic regimens.
Keywords: Model validation
 
Overall design See above (Series_summary)
 
Contributor(s) Shaughnessy JD Jr
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Submission date Sep 07, 2007
Last update date Aug 10, 2018
Contact name Yiming Zhou
E-mail(s) [email protected]
Phone (501)296-1503 1413
Organization name Myeloma Institute for Research and Therapy
Street address 4301 West Markham St., Slot 776
City Little Rock
State/province AR
ZIP/Postal code 72205
Country USA
 
Platforms (2)
GPL96 [HG-U133A] Affymetrix Human Genome U133A Array
GPL97 [HG-U133B] Affymetrix Human Genome U133B Array
Samples (288)
GSM227714 P0*890_GPL96
GSM227715 P0*19_GPL96
GSM227716 P0*29_GPL96
Relations
BioProject PRJNA102461

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
GSE8991_RAW.tar 607.9 Mb (http)(custom) TAR (of CEL)
Processed data included within Sample table

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