Uhlén2017 - TCGA-2Y-A9GS-01A - Liver Hepatocellular Carcinoma (male, 59 years)

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This is a whole genome metabolism model of a male patient diagnosed at the age of 59 years with Liver Hepatocellular Carcinoma affecting the patient's liver.

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-2Y-A9GS-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 MODEL1707110525.

Other models with the same disease include MODEL1707110526 MODEL1707110527 MODEL1707110528 MODEL1707110529 MODEL1707110530 MODEL1707110531 MODEL1707110532 MODEL1707110533 MODEL1707110534 MODEL1707110535 MODEL1707110536 MODEL1707110537 MODEL1707110538 MODEL1707110539 MODEL1707110540 MODEL1707110541 MODEL1707110542 MODEL1707110543 MODEL1707110688 MODEL1707110791 MODEL1707110975 MODEL1707111000 MODEL1707111001 MODEL1707111002 MODEL1707112651 MODEL1707112652 MODEL1707112653 MODEL1707112654 MODEL1707112655 MODEL1707112656 MODEL1707112657 MODEL1707112658 MODEL1707112659 MODEL1707112660 MODEL1707112661 MODEL1707112662 MODEL1707112663 MODEL1707112664 MODEL1707112665 MODEL1707112666 MODEL1707112667 MODEL1707112668 MODEL1707112669 MODEL1707112670 MODEL1707112671 MODEL1707112672 MODEL1707112673 MODEL1707112674 MODEL1707113217 MODEL1707113323 MODEL1707113324 MODEL1707113325 MODEL1707113326 MODEL1707113327 MODEL1707113328 MODEL1707113329 MODEL1707113330 MODEL1707113331 MODEL1707113332 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MODEL1707114146 MODEL1707114147 MODEL1707114148 MODEL1707114149 MODEL1707114150 MODEL1707114151 MODEL1707114152 MODEL1707114153 MODEL1707114154 MODEL1707114155 MODEL1707114156 MODEL1707114157 MODEL1707114158 MODEL1707114159 MODEL1707114160 MODEL1707114161 MODEL1707114162 MODEL1707114163 MODEL1707114164 MODEL1707114165 MODEL1707114166 MODEL1707114167 MODEL1707114168 MODEL1707114169 MODEL1707114170 MODEL1707114171 MODEL1707114172 MODEL1707114638 MODEL1707114639 MODEL1707114640 MODEL1707114641 MODEL1707114642 MODEL1707114643 MODEL1707114644 MODEL1707114645 MODEL1707114646 MODEL1707114647 MODEL1707114648 MODEL1707114649 MODEL1707114650 MODEL1707114931 MODEL1707114932 MODEL1707114933 MODEL1707114934 MODEL1707114935 MODEL1707114936 MODEL1707114937 MODEL1707114943 MODEL1707114944 MODEL1707115233 MODEL1707115234 MODEL1707115235 MODEL1707115236 MODEL1707115237 MODEL1707115238 MODEL1707115239 MODEL1707115240 MODEL1707115241 MODEL1707115242 MODEL1707115243 MODEL1707115275 MODEL1707115276 MODEL1707115277 MODEL1707115278 MODEL1707115279 MODEL1707115280 MODEL1707115281 MODEL1707115282 MODEL1707115283 MODEL1707115284 MODEL1707115285 MODEL1707115286 MODEL1707115287 MODEL1707115288 MODEL1707115289 MODEL1707115290 MODEL1707115291 MODEL1707115292 MODEL1707115293 MODEL1707115294 MODEL1707115295 MODEL1707115296 MODEL1707115297 MODEL1707115298 MODEL1707115299 MODEL1707115300 MODEL1707115301 MODEL1707115302 MODEL1707115303 MODEL1707115304 MODEL1707115305 MODEL1707115410 MODEL1707115411 MODEL1707115570 MODEL1707115571 MODEL1707115793 MODEL1707115794 MODEL1707115795 MODEL1707115916 MODEL1707115917 MODEL1707115918 MODEL1707115919 MODEL1707115960 MODEL1707115961 MODEL1707115962 MODEL1707116008 MODEL1707116009 MODEL1707116010 MODEL1707116011 MODEL1707116012 MODEL1707116035 MODEL1707116075 MODEL1707116076 MODEL1707116094 MODEL1707116138 MODEL1707116168 MODEL1707116207 MODEL1707116208 MODEL1707116209 MODEL1707116210 MODEL1707116211 MODEL1707116212 MODEL1707116213 MODEL1707116228 MODEL1707116280 MODEL1707116289 MODEL1707116290 MODEL1707116291 MODEL1707116292 MODEL1707116293 MODEL1707116294 MODEL1707116295 MODEL1707116296 MODEL1707116506 MODEL1707116510 MODEL1707116511 MODEL1707116516 MODEL1707116517 MODEL1707116518 MODEL1707116606 MODEL1707116607 MODEL1707116608 MODEL1707116609 MODEL1707116610 MODEL1707116741 MODEL1707116742 MODEL1707116743 MODEL1707116744 MODEL1707116745 MODEL1707116746 MODEL1707116748 MODEL1707116749 MODEL1707116750 MODEL1707116751 .

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.

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.
Submitter of the first revision: Adil Mardinoglu
Submitter of this revision: Adil Mardinoglu

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Model files

MODEL1707110525.xml Patient derived genome scale metabolic model for Liver Hepatocellular Carcinoma 12.31 MB Preview | Download

Additional files

Liver Hepatocellular Carcinoma.zip All 'Liver Hepatocellular Carcinoma' models 93.45 MB Preview | Download

  • Model originally submitted by : Adil Mardinoglu
  • Submitted: Aug 17, 2017 5:08:22 PM
  • Last Modified: Jan 7, 2020 5:58:59 PM
  • Version: 3 public model Download this version
    • Submitted on: Jan 7, 2020 5:58:59 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Import of 'Uhlén2017 - TCGA-2Y-A9GS-01A - Liver Hepatocellular Carcinoma (male, 59 years)'.
  • Version: 2 public model Download this version
    • Submitted on: Aug 17, 2017 5:08:13 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Current version of Uhlén2017 - TCGA-2Y-A9GS-01A - Liver Hepatocellular Carcinoma (male, 59 years)
  • Version: 1 public model Download this version
    • Submitted on: Aug 17, 2017 5:08:22 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Original import of MODEL1707110525.xml.origin

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