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- Title
Time to recurrence and survival in serous ovarian tumors predicted from integrated genomic profiles.
- Authors
Mankoo, Parminder K; Shen, Ronglai; Schultz, Nikolaus; Levine, Douglas A; Sander, Chris
- Abstract
Serous ovarian cancer (SeOvCa) is an aggressive disease with differential and often inadequate therapeutic outcome after standard treatment. The Cancer Genome Atlas (TCGA) has provided rich molecular and genetic profiles from hundreds of primary surgical samples. These profiles confirm mutations of TP53 in ~100% of patients and an extraordinarily complex profile of DNA copy number changes with considerable patient-to-patient diversity. This raises the joint challenge of exploiting all new available datasets and reducing their confounding complexity for the purpose of predicting clinical outcomes and identifying disease relevant pathway alterations. We therefore set out to use multi-data type genomic profiles (mRNA, DNA methylation, DNA copy-number alteration and microRNA) available from TCGA to identify prognostic signatures for the prediction of progression-free survival (PFS) and overall survival (OS).
- Publication
PloS one, 2011, Vol 6, Issue 11, pe24709
- ISSN
1932-6203
- Publication type
Journal Article
- DOI
10.1371/journal.pone.0024709