A pathology atlas of the human cancer transcriptome
(2017) In Science 357(6352).- 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... (More)
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.
(Less)
- author
- Uhlen, Mathias
; Zhang, Cheng Jiao
; Lee, Sunjae
; Sjöstedt, Evelina
; Fagerberg, Linn
; Bidkhori, Gholamreza
; Benfeitas, Rui
; Arif, Muhammad
; Liu, Zhengtao
; Edfors, Fredrik
; Sanli, Kemal
; von Feilitzen, Kalle
; Oksvold, Per
; Lundberg, Emma
; Hober, Sophia
; Nilsson, Peter
; Mattsson, Johanna Sm
; Schwenk, Jochen M.
; Brunnström, Hans
LU
; Glimelius, Bengt
; Sjöblom, Tobias
; Edqvist, Per-Henrik
; Djureinovic, Dijana
; Micke, Patrick
; Lindskog, Cecilia
; Mardinoglu, Adil
and Ponten, Fredrik
LU
(Less) - organization
- publishing date
- 2017-08-18
- type
- Contribution to journal
- publication status
- published
- subject
- in
- Science
- volume
- 357
- issue
- 6352
- article number
- eaan2507
- publisher
- American Association for the Advancement of Science (AAAS)
- external identifiers
-
- scopus:85028362951
- pmid:28818916
- wos:000407793600028
- ISSN
- 0036-8075
- DOI
- 10.1126/science.aan2507
- language
- English
- LU publication?
- yes
- id
- e28d0acd-6006-4078-a10f-f879d43e0a2c
- date added to LUP
- 2017-10-02 10:51:05
- date last changed
- 2024-11-26 16:58:55
@article{e28d0acd-6006-4078-a10f-f879d43e0a2c,
abstract = {{<p>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.</p>}},
author = {{Uhlen, Mathias and Zhang, Cheng Jiao and Lee, Sunjae and Sjöstedt, Evelina and Fagerberg, Linn and Bidkhori, Gholamreza and Benfeitas, Rui and Arif, Muhammad and Liu, Zhengtao and Edfors, Fredrik and Sanli, Kemal and von Feilitzen, Kalle and Oksvold, Per and Lundberg, Emma and Hober, Sophia and Nilsson, Peter and Mattsson, Johanna Sm and Schwenk, Jochen M. and Brunnström, Hans and Glimelius, Bengt and Sjöblom, Tobias and Edqvist, Per-Henrik and Djureinovic, Dijana and Micke, Patrick and Lindskog, Cecilia and Mardinoglu, Adil and Ponten, Fredrik}},
issn = {{0036-8075}},
language = {{eng}},
month = {{08}},
number = {{6352}},
publisher = {{American Association for the Advancement of Science (AAAS)}},
series = {{Science}},
title = {{A pathology atlas of the human cancer transcriptome}},
url = {{http://dx.doi.org/10.1126/science.aan2507}},
doi = {{10.1126/science.aan2507}},
volume = {{357}},
year = {{2017}},
}