Article open access publication

A pathology atlas of the human cancer transcriptome

Science, American Association for the Advancement of Science (AAAS), ISSN 0036-8075

Volume 357, 6352, 2017

DOI:10.1126/science.aan2507, Dimensions: pub.1091234304, PMID: 28818916,



  1. (1) Technical University of Denmark, grid.5170.3, DTU
  2. (2) Royal Institute of Technology, grid.5037.1
  3. (3) Uppsala University, grid.8993.b
  4. (4) Division of Pathology, Lund University, Skåne University Hospital, Lund, Sweden
  5. (5) Chalmers University of Technology, grid.5371.0







Cancer is one of the leading causes of death, and there is great interest in understanding the underlying molecular mechanisms involved in the pathogenesis and progression of individual tumors. We used systems-level approaches to analyze the genome-wide transcriptome of the protein-coding genes of 17 major cancer types with respect to clinical outcome. A general pattern emerged: Shorter patient survival was associated with up-regulation of genes involved in cell growth and with down-regulation of genes involved in cellular differentiation. Using genome-scale metabolic models, we show that cancer patients have widespread metabolic heterogeneity, highlighting the need for precise and personalized medicine for cancer treatment. All data are presented in an interactive open-access database ( to allow genome-wide exploration of the impact of individual proteins on clinical outcomes.


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