Uhlén2017 - TCGA-2K-A9WE-01A - Kidney Renal Papillary Cell Carcinoma (male, 54 years)

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This is a whole genome metabolism model of a male patient diagnosed at the age of 54 years with Kidney Renal Papillary Cell Carcinoma affecting the patient's kidney.

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-2K-A9WE-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 MODEL1707110517.

Other models with the same disease include MODEL1707110544 MODEL1707110545 MODEL1707110546 MODEL1707110547 MODEL1707110548 MODEL1707110549 MODEL1707110550 MODEL1707110551 MODEL1707110552 MODEL1707110553 MODEL1707110554 MODEL1707110555 MODEL1707110556 MODEL1707110557 MODEL1707110558 MODEL1707110559 MODEL1707110560 MODEL1707110561 MODEL1707110562 MODEL1707110563 MODEL1707110564 MODEL1707110565 MODEL1707110779 MODEL1707110780 MODEL1707110983 MODEL1707110984 MODEL1707110985 MODEL1707110986 MODEL1707110987 MODEL1707110988 MODEL1707110989 MODEL1707110990 MODEL1707110991 MODEL1707110992 MODEL1707110993 MODEL1707110994 MODEL1707110995 MODEL1707110996 MODEL1707110997 MODEL1707110998 MODEL1707110999 MODEL1707111558 MODEL1707111559 MODEL1707111560 MODEL1707111561 MODEL1707111562 MODEL1707111563 MODEL1707111564 MODEL1707111565 MODEL1707111566 MODEL1707111567 MODEL1707111568 MODEL1707111569 MODEL1707111570 MODEL1707111571 MODEL1707111572 MODEL1707111573 MODEL1707111574 MODEL1707111575 MODEL1707111576 MODEL1707111577 MODEL1707111578 MODEL1707111579 MODEL1707111580 MODEL1707111581 MODEL1707111582 MODEL1707111583 MODEL1707111584 MODEL1707112081 MODEL1707112082 MODEL1707112083 MODEL1707112084 MODEL1707112085 MODEL1707112086 MODEL1707112087 MODEL1707112264 MODEL1707112442 MODEL1707112443 MODEL1707112444 MODEL1707112445 MODEL1707112446 MODEL1707112447 MODEL1707112448 MODEL1707112449 MODEL1707112450 MODEL1707112463 MODEL1707112464 MODEL1707112465 MODEL1707112611 MODEL1707112612 MODEL1707112613 MODEL1707112614 MODEL1707112615 MODEL1707112616 MODEL1707112617 MODEL1707112618 MODEL1707112619 MODEL1707112620 MODEL1707112621 MODEL1707112622 MODEL1707113052 MODEL1707113053 MODEL1707113054 MODEL1707113055 MODEL1707113056 MODEL1707113057 MODEL1707113058 MODEL1707113059 MODEL1707113060 MODEL1707113061 MODEL1707113062 MODEL1707113063 MODEL1707113064 MODEL1707113065 MODEL1707113066 MODEL1707113067 MODEL1707113068 MODEL1707113069 MODEL1707113070 MODEL1707113071 MODEL1707113072 MODEL1707113073 MODEL1707113074 MODEL1707113075 MODEL1707113076 MODEL1707113077 MODEL1707113078 MODEL1707113079 MODEL1707113080 MODEL1707113081 MODEL1707113082 MODEL1707114377 MODEL1707114378 MODEL1707114379 MODEL1707114380 MODEL1707114381 MODEL1707114382 MODEL1707114383 MODEL1707114384 MODEL1707114385 MODEL1707114393 MODEL1707114394 MODEL1707114395 MODEL1707114996 MODEL1707114997 MODEL1707115114 MODEL1707115115 MODEL1707115116 MODEL1707115117 MODEL1707115336 MODEL1707115337 MODEL1707115338 MODEL1707115339 MODEL1707115340 MODEL1707115341 MODEL1707115342 MODEL1707115343 MODEL1707115344 MODEL1707115345 MODEL1707115346 MODEL1707115413 MODEL1707115414 MODEL1707115415 MODEL1707115416 MODEL1707115417 MODEL1707115418 MODEL1707115419 MODEL1707115420 MODEL1707115546 MODEL1707115547 MODEL1707115548 MODEL1707115549 MODEL1707115550 MODEL1707115551 MODEL1707115552 MODEL1707115553 MODEL1707115637 MODEL1707115638 MODEL1707115639 MODEL1707115640 MODEL1707115641 MODEL1707115642 MODEL1707115717 MODEL1707115718 MODEL1707115745 MODEL1707115746 MODEL1707115936 MODEL1707115937 MODEL1707115938 MODEL1707116000 MODEL1707116001 MODEL1707116002 MODEL1707116003 MODEL1707116004 MODEL1707116005 MODEL1707116006 MODEL1707116007 MODEL1707116095 MODEL1707116129 MODEL1707116130 MODEL1707116131 MODEL1707116132 MODEL1707116133 MODEL1707116134 MODEL1707116135 MODEL1707116136 MODEL1707116137 MODEL1707116148 MODEL1707116149 MODEL1707116165 MODEL1707116264 MODEL1707116265 MODEL1707116266 MODEL1707116267 MODEL1707116268 MODEL1707116269 MODEL1707116270 MODEL1707116271 MODEL1707116272 MODEL1707116273 MODEL1707116274 MODEL1707116275 MODEL1707116276 MODEL1707116277 MODEL1707116312 MODEL1707116334 MODEL1707116335 MODEL1707116336 MODEL1707116337 MODEL1707116338 MODEL1707116339 MODEL1707116340 MODEL1707116341 MODEL1707116342 MODEL1707116343 MODEL1707116344 MODEL1707116345 MODEL1707116346 MODEL1707116347 MODEL1707116348 MODEL1707116349 MODEL1707116381 MODEL1707116508 MODEL1707116509 MODEL1707116623 MODEL1707116624 MODEL1707116625 MODEL1707116626 MODEL1707116627 MODEL1707116628 MODEL1707116629 MODEL1707116630 MODEL1707116631 .

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.
Adil Mardinoglu

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Model files

MODEL1707110517.xml Patient derived genome scale metabolic model for Kidney Renal Papillary Cell Carcinoma 10.33 MB Preview | Download

Additional files

Kidney Renal Papillary Cell Carcinoma.zip All 'Kidney Renal Papillary Cell Carcinoma' models 67.16 MB Preview | Download

  • Model originally submitted by : Adil Mardinoglu
  • Submitted: 17-Aug-2017 17:07:57
  • Last Modified: 07-Jan-2020 17:41:15
  • Version: 3 public model Download this version
    • Submitted on: 07-Jan-2020 17:41:15
    • Submitted by: Adil Mardinoglu
    • With comment: Import of 'Uhlén2017 - TCGA-2K-A9WE-01A - Kidney Renal Papillary Cell Carcinoma (male, 54 years)'.
  • Version: 2 public model Download this version
    • Submitted on: 17-Aug-2017 17:07:44
    • Submitted by: Adil Mardinoglu
    • With comment: Current version of Uhlén2017 - TCGA-2K-A9WE-01A - Kidney Renal Papillary Cell Carcinoma (male, 54 years)
  • Version: 1 public model Download this version
    • Submitted on: 17-Aug-2017 17:07:57
    • Submitted by: Adil Mardinoglu
    • With comment: Original import of MODEL1707110517.xml.origin
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