A pathology atlas of the human cancer transcriptome

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A pathology atlas of the human cancer transcriptome. / 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; Glimelius, Bengt; Sjöblom, Tobias; Edqvist, Per-Henrik; Djureinovic, Dijana; Micke, Patrick; Lindskog, Cecilia; Mardinoglu, Adil; Ponten, Fredrik.

In: Science, Vol. 357, No. 6352, eaan2507, 18.08.2017.

Research output: Contribution to journalArticle

Harvard

Uhlen, M, Zhang, CJ, Lee, S, Sjöstedt, E, Fagerberg, L, Bidkhori, G, Benfeitas, R, Arif, M, Liu, Z, Edfors, F, Sanli, K, von Feilitzen, K, Oksvold, P, Lundberg, E, Hober, S, Nilsson, P, Mattsson, JS, Schwenk, JM, Brunnström, H, Glimelius, B, Sjöblom, T, Edqvist, P-H, Djureinovic, D, Micke, P, Lindskog, C, Mardinoglu, A & Ponten, F 2017, 'A pathology atlas of the human cancer transcriptome', Science, vol. 357, no. 6352, eaan2507. https://doi.org/10.1126/science.aan2507

APA

Uhlen, M., Zhang, C. J., Lee, S., Sjöstedt, E., Fagerberg, L., Bidkhori, G., Benfeitas, R., Arif, M., Liu, Z., Edfors, F., Sanli, K., von Feilitzen, K., Oksvold, P., Lundberg, E., Hober, S., Nilsson, P., Mattsson, J. S., Schwenk, J. M., Brunnström, H., ... Ponten, F. (2017). A pathology atlas of the human cancer transcriptome. Science, 357(6352), [eaan2507]. https://doi.org/10.1126/science.aan2507

CBE

Uhlen M, Zhang CJ, Lee S, Sjöstedt E, Fagerberg L, Bidkhori G, Benfeitas R, Arif M, Liu Z, Edfors F, Sanli K, von Feilitzen K, Oksvold P, Lundberg E, Hober S, Nilsson P, Mattsson JS, Schwenk JM, Brunnström H, Glimelius B, Sjöblom T, Edqvist P-H, Djureinovic D, Micke P, Lindskog C, Mardinoglu A, Ponten F. 2017. A pathology atlas of the human cancer transcriptome. Science. 357(6352):Article eaan2507. https://doi.org/10.1126/science.aan2507

MLA

Vancouver

Uhlen M, Zhang CJ, Lee S, Sjöstedt E, Fagerberg L, Bidkhori G et al. A pathology atlas of the human cancer transcriptome. Science. 2017 Aug 18;357(6352). eaan2507. https://doi.org/10.1126/science.aan2507

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 ; Glimelius, Bengt ; Sjöblom, Tobias ; Edqvist, Per-Henrik ; Djureinovic, Dijana ; Micke, Patrick ; Lindskog, Cecilia ; Mardinoglu, Adil ; Ponten, Fredrik. / A pathology atlas of the human cancer transcriptome. In: Science. 2017 ; Vol. 357, No. 6352.

RIS

TY - JOUR

T1 - A pathology atlas of the human cancer transcriptome

AU - Uhlen, Mathias

AU - Zhang, Cheng Jiao

AU - Lee, Sunjae

AU - Sjöstedt, Evelina

AU - Fagerberg, Linn

AU - Bidkhori, Gholamreza

AU - Benfeitas, Rui

AU - Arif, Muhammad

AU - Liu, Zhengtao

AU - Edfors, Fredrik

AU - Sanli, Kemal

AU - von Feilitzen, Kalle

AU - Oksvold, Per

AU - Lundberg, Emma

AU - Hober, Sophia

AU - Nilsson, Peter

AU - Mattsson, Johanna Sm

AU - Schwenk, Jochen M.

AU - Brunnström, Hans

AU - Glimelius, Bengt

AU - Sjöblom, Tobias

AU - Edqvist, Per-Henrik

AU - Djureinovic, Dijana

AU - Micke, Patrick

AU - Lindskog, Cecilia

AU - Mardinoglu, Adil

AU - Ponten, Fredrik

PY - 2017/8/18

Y1 - 2017/8/18

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85028362951&partnerID=8YFLogxK

U2 - 10.1126/science.aan2507

DO - 10.1126/science.aan2507

M3 - Article

C2 - 28818916

AN - SCOPUS:85028362951

VL - 357

JO - Science (New York, N.Y.)

JF - Science (New York, N.Y.)

SN - 1095-9203

IS - 6352

M1 - eaan2507

ER -