A pathology atlas of the human cancer transcriptome
Journal article, 2017

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.

Cell Lung-Cancer

Expression

Metabolism

RNA

Breast-Cancer

Carcinoma

Hallmarks

Author

M. Uhlen

Royal Institute of Technology (KTH)

Technical University of Denmark (DTU)

AlbaNova University Center

C. Zhang

Royal Institute of Technology (KTH)

SangWook Lee

Royal Institute of Technology (KTH)

E. Sjostedt

Royal Institute of Technology (KTH)

Uppsala University

L. Fagerberg

Royal Institute of Technology (KTH)

G. Bidkhori

Royal Institute of Technology (KTH)

Rui Benfeitas

Royal Institute of Technology (KTH)

M. Arif

Royal Institute of Technology (KTH)

Z. T. Liu

Royal Institute of Technology (KTH)

F. Edfors

Royal Institute of Technology (KTH)

K. Sanli

Royal Institute of Technology (KTH)

K. von Feilitzen

Royal Institute of Technology (KTH)

P. Oksvold

Royal Institute of Technology (KTH)

E. Lundberg

Royal Institute of Technology (KTH)

S. Hober

AlbaNova University Center

P. Nilsson

Royal Institute of Technology (KTH)

J. Mattsson

Uppsala University

J. M. Schwenk

Royal Institute of Technology (KTH)

H. Brunnstrom

Lund University

B. Glimelius

Uppsala University

Tobias Sjöblom

Uppsala University

P. H. Edqvist

Uppsala University

D. Djureinovic

Uppsala University

P. Micke

Uppsala University

C. Lindskog

Uppsala University

Adil Mardinoglu

Chalmers, Biology and Biological Engineering, Systems and Synthetic Biology

F. Ponten

Uppsala University

Science

0036-8075 (ISSN)

Vol. 357 6352 660-+

Subject Categories

Basic Medicine

DOI

10.1126/science.aan2507

More information

Latest update

4/10/2019