Patterns of Gene Expression That Characterize Long-term Survival in Advanced Stage Serous Ovarian Cancers
Open Access
- 15 May 2005
- journal article
- Published by American Association for Cancer Research (AACR) in Clinical Cancer Research
- Vol. 11 (10), 3686-3696
- https://doi.org/10.1158/1078-0432.ccr-04-2398
Abstract
Purpose: A better understanding of the underlying biology of invasive serous ovarian cancer is critical for the development of early detection strategies and new therapeutics. The objective of this study was to define gene expression patterns associated with favorable survival.Keywords
This publication has 37 references indexed in Scilit:
- Gene Expression Signature With Independent Prognostic Significance in Epithelial Ovarian CancerJournal of Clinical Oncology, 2004
- Repeated observation of breast tumor subtypes in independent gene expression data setsProceedings of the National Academy of Sciences of the United States of America, 2003
- Exploration, normalization, and summaries of high density oligonucleotide array probe level dataBiostatistics, 2003
- A Gene-Expression Signature as a Predictor of Survival in Breast CancerNew England Journal of Medicine, 2002
- A molecular signature of metastasis in primary solid tumorsNature Genetics, 2002
- Comparison of Discrimination Methods for the Classification of Tumors Using Gene Expression DataJournal of the American Statistical Association, 2002
- Bayesian CART Model SearchJournal of the American Statistical Association, 1998
- R: A Language for Data Analysis and GraphicsJournal of Computational and Graphical Statistics, 1996
- Cyclophosphamide and Cisplatin Compared with Paclitaxel and Cisplatin in Patients with Stage III and Stage IV Ovarian CancerNew England Journal of Medicine, 1996
- Linear Recursive Equations, Covariance Selection, and Path AnalysisJournal of the American Statistical Association, 1980