Model Identifier
MODEL1707110782
Short description

This is a whole genome metabolism model of a female patient diagnosed at the age of 75 years with Thyroid Carcinoma affecting the patient's thyroid.

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-4C-A93U-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 MODEL1707110782.

Other models with the same disease include MODEL1707112866 MODEL1707112867 MODEL1707112868 MODEL1707112869 MODEL1707112870 MODEL1707112871 MODEL1707112872 MODEL1707112873 MODEL1707112874 MODEL1707112875 MODEL1707112876 MODEL1707112877 MODEL1707112878 MODEL1707112879 MODEL1707112880 MODEL1707112881 MODEL1707112882 MODEL1707112883 MODEL1707112884 MODEL1707112885 MODEL1707112886 MODEL1707112887 MODEL1707112888 MODEL1707112889 MODEL1707112890 MODEL1707112891 MODEL1707112892 MODEL1707112893 MODEL1707112894 MODEL1707112895 MODEL1707112896 MODEL1707112897 MODEL1707112898 MODEL1707112899 MODEL1707112900 MODEL1707112901 MODEL1707112902 MODEL1707112903 MODEL1707112904 MODEL1707113375 MODEL1707113376 MODEL1707113377 MODEL1707113378 MODEL1707113379 MODEL1707113380 MODEL1707113381 MODEL1707114173 MODEL1707114174 MODEL1707114175 MODEL1707114176 MODEL1707114177 MODEL1707114178 MODEL1707114179 MODEL1707114180 MODEL1707114198 MODEL1707114199 MODEL1707114200 MODEL1707114201 MODEL1707114202 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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
Curator: Adil Mardinoglu

Metadata information

is (1 statement)
BioModels Database MODEL1707110782

hasTaxon (1 statement)
Taxonomy Homo sapiens

hasProperty (3 statements)
Human Disease Ontology thyroid carcinoma
Mathematical Modelling Ontology Constraint-based model
PATO female

isDerivedFrom (2 statements)
BioModels Database MODEL1402200003
Genomic Data Commons Data Portal e1c8af06-9ea4-4062-9264-aa916e0025d1

Curation status
Non-curated
Tags
Auto-Generated

Connected external resources