3 years ago

A pathology atlas of the human cancer transcriptome

Evelina Sjöstedt, Kemal Sanli, Fredrik Edfors, Johanna Mattsson, Mathias Uhlen, Sophia Hober, Hans Brunnström, Fredrik Ponten, Rui Benfeitas, Dijana Djureinovic, Tobias Sjöblom, Peter Nilsson, Zhengtao Liu, Cecilia Lindskog, Gholamreza Bidkhori, Adil Mardinoglu, Kalle von Feilitzen, Per-Henrik Edqvist, Patrick Micke, Per Oksvold, Linn Fagerberg, Muhammad Arif, Emma Lundberg, Cheng Zhang, Bengt Glimelius, Sunjae Lee, Jochen M. Schwenk

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 (www.proteinatlas.org/pathology) to allow genome-wide exploration of the impact of individual proteins on clinical outcomes.

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