Uhlén2017 - TCGA-4P-AA8J-01A - Head and Neck Squamous Cell Carcinoma (male, 67 years)

Model Identifier
MODEL1707110790
Short description

This is a whole genome metabolism model of a male patient diagnosed at the age of 67 years with Head and Neck Squamous Cell Carcinoma affecting the patient's salivary gland.

This model was automatically generated by tINIT (Agren, R., et al. (2014). Identification of anticancer drugs for hepatocellular carcinoma through personalized genome-scale metabolic modeling. Mol Syst Biol; 10(3), 721.) using information coming from the sample TCGA-4P-AA8J-01A from GDC Portal (Initial release 1.0, accessed via GDC API) and, where relevant, augmented with metabolic pathway information extracted from Human Metabolic Atlas.

This model has been produced by Human Pathology Atlas project ( Uhlen, M., et al.; A pathology atlas of the human cancer transcriptome. Science.) and is currently hosted on BioModels Database and identified by MODEL1707110790.

Other models with the same disease include MODEL1707112623 MODEL1707112624 MODEL1707112625 MODEL1707112626 MODEL1707112627 MODEL1707112628 MODEL1707112629 MODEL1707112630 MODEL1707112631 MODEL1707112632 MODEL1707112633 MODEL1707112634 MODEL1707112635 MODEL1707112636 MODEL1707112637 MODEL1707112638 MODEL1707112639 MODEL1707112640 MODEL1707112641 MODEL1707112642 MODEL1707112643 MODEL1707112644 MODEL1707112645 MODEL1707112646 MODEL1707112647 MODEL1707112648 MODEL1707112649 MODEL1707112650 MODEL1707113313 MODEL1707113574 MODEL1707113575 MODEL1707113576 MODEL1707113577 MODEL1707113578 MODEL1707113579 MODEL1707113580 MODEL1707113581 MODEL1707113582 MODEL1707113583 MODEL1707113584 MODEL1707113585 MODEL1707113586 MODEL1707113587 MODEL1707113588 MODEL1707113589 MODEL1707113590 MODEL1707113591 MODEL1707113592 MODEL1707113593 MODEL1707113594 MODEL1707113595 MODEL1707113596 MODEL1707113597 MODEL1707113598 MODEL1707113599 MODEL1707113600 MODEL1707113601 MODEL1707113602 MODEL1707113603 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To cite BioModels, please use: V Chelliah et al; BioModels: ten-year anniversary. Nucleic Acids Res 2015; 43 (D1): D542-D548.

To the extent possible under law, all copyright and related or neighbouring rights to this encoded model have been dedicated to the public domain worldwide. Please refer to CC0 Public Domain Dedication for more information.

Format
SBML (L2V3)
Related Publication
  • A pathology atlas of the human cancer transcriptome. Click here to expand
  • Mathias Uhlen, Cheng Zhang, Sunjae Lee, Evelina Sjöstedt, Linn Fagerberg, Gholamreza Bidkhori, Rui Benfeitas, Muhammad Arif, Zhengtao Liu, Fredrik Edfors, Kemal Sanli, Kalle von Feilitzen, Per Oksvold, Emma Lundberg, Sophia Hober, Peter Nilsson, Johanna Mattsson, Jochen M Schwenk, Hans Brunnström, Bengt Glimelius, Tobias Sjöblom, Per-Henrik Edqvist, Dijana Djureinovic, Patrick Micke, Cecilia Lindskog, Adil Mardinoglu, Fredrik Ponten
  • Science (New York, N.Y.) , 8/ 2017 , Volume 357 , Issue 6352 , pages: eaan2507 , PubMed ID: 28818916
  • Science for Life Laboratory, KTH-Royal Institute of Technology, Stockholm, Sweden. mathias.uhlen@scilifelab.se.
  • 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.
Contributors
Submitter of the first revision: Adil Mardinoglu
Submitter of this revision: Adil Mardinoglu

Metadata information

is (1 statement)
BioModels Database MODEL1707110790

hasTaxon (1 statement)
Taxonomy Homo sapiens

hasProperty (3 statements)
Human Disease Ontology head and neck squamous cell carcinoma
Mathematical Modelling Ontology Constraint-based model
PATO male

isDerivedFrom (2 statements)
Genomic Data Commons Data Portal 757c56d0-8a49-464f-866a-ae98816de60b
BioModels Database MODEL1402200003


Curation status
Non-curated

Connected external resources