Profiles of genomic instability in high-grade serous ovarian cancer (HGSC) predict treatment outcome
Source: NCBI BioProject (ID PRJNA170063)
Source: NCBI BioProject (ID PRJNA170063)
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Project name: Homo sapiens
Description: Profiling of loss of heterozygosity (LOH) in HGSC, subcrouping HGSC by LOH-based clustering and comparing to the LOH profiles of triple-negative breast cancer [previously submitted; GSE19594].Study for the correlation of LOH burdern and LOH-based subgroups to clinical response to platinum-based chemotherapy in patients suffered from HGSC.Overall design: SNP data (Affymetrix GenChip 250K SNP Nsp) from 47 high grade serous ovarian cancer were generated and used for LOH and copy number analysis, LOH-based hierarchical clustering to subclassify HGSC, and comparison to the chromosomal alterations in high grade brest cancer. The associstion between LOH-based subgroups and LOH burden and clinical resposne to platinum-based chemotherapy was investigated. The results were validated in two independent public opening datasets.
Data type: Variation
Sample scope: Multiisolate
Relevance: Medical
Organization: Cancer Biology, Dana-Farber Cancer Institute
Literatures
- PMID: 22912389
Last updated: 2012-07-05