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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
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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
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Overall design |
See above (Series_summary)
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Contributor(s) |
Shaughnessy JD Jr |
Citation missing |
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Submission date |
Sep 07, 2007 |
Last update date |
Aug 10, 2018 |
Contact name |
Yiming Zhou |
E-mail(s) |
[email protected]
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Phone |
(501)296-1503 1413
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Organization name |
Myeloma Institute for Research and Therapy
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Street address |
4301 West Markham St., Slot 776
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City |
Little Rock |
State/province |
AR |
ZIP/Postal code |
72205 |
Country |
USA |
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Platforms (2) |
GPL96 |
[HG-U133A] Affymetrix Human Genome U133A Array |
GPL97 |
[HG-U133B] Affymetrix Human Genome U133B Array |
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Samples (288)
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Relations |
BioProject |
PRJNA102461 |