A pathology atlas of the human cancer transcriptome

Research output: Contribution to journalArticle


title = "A pathology atlas of the human cancer transcriptome",
abstract = "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.",
author = "Mathias Uhlen and Zhang, {Cheng Jiao} and Sunjae Lee and Evelina Sj{\"o}stedt and Linn Fagerberg and Gholamreza Bidkhori and Rui Benfeitas and Muhammad Arif and Zhengtao Liu and Fredrik Edfors and Kemal Sanli and {von Feilitzen}, Kalle and Per Oksvold and Emma Lundberg and Sophia Hober and Peter Nilsson and Mattsson, {Johanna Sm} and Schwenk, {Jochen M.} and Hans Brunnstr{\"o}m and Bengt Glimelius and Tobias Sj{\"o}blom and Per-Henrik Edqvist and Dijana Djureinovic and Patrick Micke and Cecilia Lindskog and Adil Mardinoglu and Fredrik Ponten",
year = "2017",
month = aug,
day = "18",
doi = "10.1126/science.aan2507",
language = "English",
volume = "357",
journal = "Science (New York, N.Y.)",
issn = "1095-9203",
publisher = "American Association for the Advancement of Science",
number = "6352",