Uhlén2017 - TCGA-18-3406-01A - Lung Squamous Cell Carcinoma (male, 68 years)

  public model
Model Identifier
MODEL1707110196
Short description

This is a whole genome metabolism model of a male patient diagnosed at the age of 68 years with Lung Squamous Cell Carcinoma affecting the patient's lung.

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-18-3406-01A 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 MODEL1707110196.

Other models with the same disease include MODEL1707110197 MODEL1707110198 MODEL1707110199 MODEL1707110200 MODEL1707110201 MODEL1707110202 MODEL1707110203 MODEL1707110204 MODEL1707110205 MODEL1707110206 MODEL1707110207 MODEL1707110208 MODEL1707110209 MODEL1707110220 MODEL1707110221 MODEL1707110222 MODEL1707110223 MODEL1707110224 MODEL1707110225 MODEL1707110226 MODEL1707110227 MODEL1707110228 MODEL1707110229 MODEL1707110230 MODEL1707110231 MODEL1707110232 MODEL1707110233 MODEL1707110234 MODEL1707110235 MODEL1707110236 MODEL1707110237 MODEL1707110238 MODEL1707110239 MODEL1707110240 MODEL1707110241 MODEL1707110242 MODEL1707110243 MODEL1707110244 MODEL1707110245 MODEL1707110246 MODEL1707110247 MODEL1707110248 MODEL1707110249 MODEL1707110250 MODEL1707110251 MODEL1707110252 MODEL1707110253 MODEL1707110254 MODEL1707110255 MODEL1707110256 MODEL1707110257 MODEL1707110258 MODEL1707110259 MODEL1707110260 MODEL1707110589 MODEL1707110590 MODEL1707110591 MODEL1707110592 MODEL1707110593 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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.
  • Uhlen M, Zhang C, 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, Schwenk JM, Brunnström H, Glimelius B, Sjöblom T, Edqvist PH, Djureinovic D, Micke P, Lindskog C, Mardinoglu A, Ponten F
  • Science (New York, N.Y.) , 8/ 2017 , Volume 357 , Issue 6352 , PubMed ID: 28818916
  • School of Biotechnology, AlbaNova University Center, KTH-Royal Institute of Technology, Stockholm, Sweden.
  • 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
Adil Mardinoglu

Metadata information


Curation status
Non-curated

Name Description Size Actions

Model files

MODEL1707110196.xml Patient derived genome scale metabolic model for Lung Squamous Cell Carcinoma 10.04 MB Preview | Download

Additional files

Lung Squamous Cell Carcinoma.zip All 'Lung Squamous Cell Carcinoma' models 104.75 MB Preview | Download

  • Model originally submitted by : Adil Mardinoglu
  • Submitted: 17-Aug-2017 16:59:22
  • Last Modified: 07-Jan-2020 17:44:02
Revisions
  • Version: 3 public model Download this version
    • Submitted on: 07-Jan-2020 17:44:02
    • Submitted by: Adil Mardinoglu
    • With comment: Import of 'Uhlén2017 - TCGA-18-3406-01A - Lung Squamous Cell Carcinoma (male, 68 years)'.
  • Version: 2 public model Download this version
    • Submitted on: 17-Aug-2017 16:59:11
    • Submitted by: Adil Mardinoglu
    • With comment: Current version of Uhlén2017 - TCGA-18-3406-01A - Lung Squamous Cell Carcinoma (male, 68 years)
  • Version: 1 public model Download this version
    • Submitted on: 17-Aug-2017 16:59:22
    • Submitted by: Adil Mardinoglu
    • With comment: Original import of MODEL1707110196.xml.origin
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