A Strategy for Identifying Putative Causes of Gene Expression Variation in Human Cancer

Research output: Chapter in Book/Report/Conference proceedingPaper in conference proceeding


There is often a need to predict the impact of alterations in one variable on another variable. This is especially the case in cancer research, where much effort has been made to carry out large-scale gene expression screening by microarray techniques. However, the causes of this variability from one cancer to another and from one gene to another often remain unknown. In this study we present a systematic procedure for finding genes whose expression is altered by an intrinsic or extrinsic explanatory phenomenon. The procedure has three stages: preprocessing, data integration and statistical analysis. We tested and verified the utility of this approach in a study, where expression and copy number of 13,824 genes were determined in 14 breast cancer samples. The expression of 270 genes could be explained by the variability of gene copy number. These genes may represent an important set of primary, genetically “damaged” genes that drive cancer progression.


  • Sampsa Hautaniemi
  • Markus Ringnér
  • Päivikki Kauraniemi
  • Anne Kallioniemi
  • Henrik Edgren
  • Olli Yli-Harja
  • Jaako Astola
  • Olli Kallioniemi
Research areas and keywords

Subject classification (UKÄ) – MANDATORY

  • Cancer and Oncology
Original languageEnglish
Title of host publicationWorkshop on Genomic Signal Processing and Statistics (GENSIPS)
Number of pages4
Publication statusPublished - 2002
Publication categoryResearch

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