Article thumbnail

Combining Gene Signatures Improves Prediction of Breast Cancer Survival

By Xi Zhao, Einar Andreas Rødland, Therese Sørlie, Bjørn Naume, Anita Langerød, Arnoldo Frigessi, Vessela N. Kristensen, Anne-Lise Børresen-Dale and Ole Christian Lingjærde
Topics: Research Article
Publisher: Public Library of Science
OAI identifier:
Provided by: PubMed Central

To submit an update or takedown request for this paper, please submit an Update/Correction/Removal Request.

Suggested articles


  1. (2008). A comprehensive analysis of prognostic signatures reveals the high predictive capacity of the proliferation, immune response and RNA splicing modules in breast cancer.
  2. (2002). A geneexpression signature as a predictor of survival in breast cancer.
  3. (2004). A multigene assay to predict recurrence of tamoxifen-treated, node-negative breast cancer.
  4. (1974). A new look at the statistical identification model.
  5. (2009). Boulesteix A
  6. (2001). Computer program to assist in making decisions about adjuvant therapy for women with early breast cancer.
  7. (2006). Concordance among gene-expression-based predictors for breast cancer.
  8. (1993). Cross-validation in survival analysis.
  9. (2003). Detection of isolated tumor cells in bone marrow is an independent prognostic factor in breast cancer.
  10. (2001). Gene expression patterns of breast carcinomas distinguish tumor subclasses with clinical implications.
  11. (2006). Gene expression profiling in breast cancer: understanding the molecular basis of histologic grade to improve prognosis.
  12. (2002). Gene expression profiling predicts clinical outcome of breast cancer.
  13. (2006). Gene expression programs in response to hypoxia: cell type specificity and prognostic significance in human cancers.
  14. (2004). Gene expression signature of fibroblast serum response predicts human cancer progression: similarities between tumors and wounds.
  15. (2005). Geneexpression profiles to predict distant metastasis of lymph-node-negative primary breast cancer.
  16. (2005). Genes that mediate breast cancer metastasis to lung.
  17. (2001). Missing value estimation methods for DNA microarrays.
  18. (2007). Pathway analysis of gene signatures predicting metastasis of node-negative primary breast cancer.
  19. (2010). Penalized R package. version
  20. (2008). Pooling breast cancer datasets has a synergetic effect on classification performance and improves signature stability.
  21. (2007). Predicting survival from microarray data—a comparative study.
  22. (2007). Presence of bone marrow micrometastasis is associated with different recurrence risk within molecular subtypes of breast cancer.
  23. (2003). Repeated observation of breast tumor subtypes in independent gene expression data sets.
  24. (2008). Restoration of p53 to limit tumor growth.
  25. (2008). Stromal gene expression predicts clinical outcome in breast cancer.
  26. (2001). The elements of statistical learning: data mining, inference, and prediction.
  27. (2006). The molecular portraits of breast tumors are conserved across microarray platforms.
  28. (2007). The prognostic role of a gene signature from tumorigenic breast-cancer cells.
  29. (1993). The relative importance of prognostic factors in studies of survival.
  30. (2007). TP53 mutation status and gene expression profiles are powerful prognostic markers of breast cancer.
  31. (1996). Tutorial in biostatistics multivariable prognostic models: issues in developing models, evaluating assumptions and adequacy, and measuring and reducing errors. Statistics in medicine 15: