Human Genetics

, Volume 111, Issue 4, pp 411–420

Associations between gene expressions in breast cancer and patient survival

  •  T.-K. Jenssen
  •  W. Kuo
  •  T. Stokke
  •  E. Hovig
Original Investigation

DOI: 10.1007/s00439-002-0804-5

Cite this article as:
Jenssen, TK., Kuo, W., Stokke, T. et al. Hum Genet (2002) 111: 411. doi:10.1007/s00439-002-0804-5


We analyzed associations between gene expression in breast cancer and patient survival for 8024 genes from a previously published microarray data set. Analysis of survival, by using the logrank test, was performed automatically for each gene. After correcting for multiple testing, we identified 95 genes whose expression was significantly associated with patient survival. The independent prognostic value of the genes ranking the highest in univariate analysis, together with clinical parameters, was assessed by Cox multivariate regression anaysis. The P-values from these logrank tests were also mapped to chromosomal positions and compared with previously reported amplicon regions. We used PubGene web tools to identify groups of genes that had co-occurred in the literature and whose expression patterns were associated with survival. Our analyses demonstrate the comprehensiveness of the microarray technology with respect to measuring gene expression and indicate that the technology may be used to screen for potential clinical markers.

Copyright information

© Springer-Verlag 2002

Authors and Affiliations

  •  T.-K. Jenssen
    • 1
  •  W. Kuo
    • 4
  •  T. Stokke
    • 3
  •  E. Hovig
    • 2
  1. 1.Department of Computer and Information Science, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway
  2. 2.Department of Tumor Biology, The Norwegian Radium Hospital, Montebello, Oslo, Norway
  3. 3.Department of Biophysics, The Norwegian Radium Hospital, Montebello, Oslo, Norway
  4. 4.Children's Hospital Informatics Program and Division of Endocrinology, Department of Medicine, Children's Hospital, Boston, MA 02115, USA
  5. 5.Decision Systems Group, Brigham and Women's Hospital, Harvard Medical School, Boston, MA 02115, USA
  6. 6.Division of Health Sciences and Technology, Harvard University and Massachusetts Institute of Technology, Cambridge, MA 02139, USA

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