Uhlén2017 - TCGA-2W-A8YY-01A - Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (female, 52 years)

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This is a whole genome metabolism model of a female patient diagnosed at the age of 52 years with Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma affecting the patient's cervix.

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-2W-A8YY-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 MODEL1707110522.

Other models with the same disease include MODEL1707110785 MODEL1707112864 MODEL1707112865 MODEL1707113221 MODEL1707113222 MODEL1707113223 MODEL1707113224 MODEL1707113225 MODEL1707113226 MODEL1707113227 MODEL1707113228 MODEL1707113229 MODEL1707113230 MODEL1707113231 MODEL1707113232 MODEL1707113233 MODEL1707113234 MODEL1707113235 MODEL1707113236 MODEL1707113237 MODEL1707113238 MODEL1707113239 MODEL1707113240 MODEL1707113241 MODEL1707113242 MODEL1707113243 MODEL1707113244 MODEL1707113245 MODEL1707113246 MODEL1707113247 MODEL1707113248 MODEL1707113249 MODEL1707113250 MODEL1707113251 MODEL1707113252 MODEL1707113253 MODEL1707113254 MODEL1707113255 MODEL1707113256 MODEL1707113257 MODEL1707113258 MODEL1707113259 MODEL1707113260 MODEL1707113261 MODEL1707113262 MODEL1707113263 MODEL1707113264 MODEL1707113265 MODEL1707113266 MODEL1707113267 MODEL1707113268 MODEL1707113269 MODEL1707113270 MODEL1707113271 MODEL1707113272 MODEL1707113273 MODEL1707113274 MODEL1707114188 MODEL1707114189 MODEL1707114190 MODEL1707114350 MODEL1707114351 MODEL1707114352 MODEL1707114353 MODEL1707114354 MODEL1707114355 MODEL1707114356 MODEL1707114357 MODEL1707114358 MODEL1707114359 MODEL1707114360 MODEL1707114361 MODEL1707114362 MODEL1707114363 MODEL1707114576 MODEL1707114577 MODEL1707114578 MODEL1707114579 MODEL1707114580 MODEL1707114581 MODEL1707114582 MODEL1707114583 MODEL1707114584 MODEL1707114585 MODEL1707114586 MODEL1707114587 MODEL1707114588 MODEL1707114589 MODEL1707114590 MODEL1707114591 MODEL1707114592 MODEL1707114593 MODEL1707114594 MODEL1707114595 MODEL1707114596 MODEL1707114597 MODEL1707114598 MODEL1707114761 MODEL1707114762 MODEL1707114763 MODEL1707114764 MODEL1707114765 MODEL1707114766 MODEL1707114767 MODEL1707114768 MODEL1707114769 MODEL1707114770 MODEL1707114771 MODEL1707114772 MODEL1707114773 MODEL1707114774 MODEL1707114775 MODEL1707114776 MODEL1707114777 MODEL1707114778 MODEL1707114779 MODEL1707115035 MODEL1707115036 MODEL1707115037 MODEL1707115038 MODEL1707115039 MODEL1707115040 MODEL1707115041 MODEL1707115224 MODEL1707115225 MODEL1707115226 MODEL1707115227 MODEL1707115228 MODEL1707115229 MODEL1707115230 MODEL1707115231 MODEL1707115232 MODEL1707115408 MODEL1707115558 MODEL1707115564 MODEL1707115565 MODEL1707115566 MODEL1707115567 MODEL1707115709 MODEL1707115710 MODEL1707115711 MODEL1707115712 MODEL1707115713 MODEL1707115714 MODEL1707115715 MODEL1707115716 MODEL1707115770 MODEL1707115771 MODEL1707115772 MODEL1707115773 MODEL1707115774 MODEL1707115775 MODEL1707115776 MODEL1707115777 MODEL1707115778 MODEL1707115779 MODEL1707115780 MODEL1707115979 MODEL1707115980 MODEL1707115981 MODEL1707115982 MODEL1707115983 MODEL1707115995 MODEL1707115996 MODEL1707115997 MODEL1707115998 MODEL1707116040 MODEL1707116041 MODEL1707116042 MODEL1707116049 MODEL1707116050 MODEL1707116051 MODEL1707116152 MODEL1707116156 MODEL1707116157 MODEL1707116158 MODEL1707116159 MODEL1707116160 MODEL1707116161 MODEL1707116162 MODEL1707116163 MODEL1707116164 MODEL1707116196 MODEL1707116204 MODEL1707116297 MODEL1707116298 MODEL1707116299 MODEL1707116461 MODEL1707116462 MODEL1707116463 MODEL1707116464 MODEL1707116465 MODEL1707116466 MODEL1707116467 MODEL1707116468 MODEL1707116469 MODEL1707116470 MODEL1707116471 MODEL1707116472 MODEL1707116473 MODEL1707116474 MODEL1707116475 MODEL1707116476 MODEL1707116477 MODEL1707116478 MODEL1707116479 MODEL1707116480 MODEL1707116481 MODEL1707116482 MODEL1707116483 MODEL1707116484 MODEL1707116485 MODEL1707116486 MODEL1707116487 MODEL1707116488 MODEL1707116489 MODEL1707116490 MODEL1707116491 MODEL1707116492 MODEL1707116493 MODEL1707116494 MODEL1707116495 MODEL1707116496 MODEL1707116497 MODEL1707116498 MODEL1707116499 MODEL1707116500 MODEL1707116501 MODEL1707116507 MODEL1707116611 MODEL1707116729 MODEL1707116730 MODEL1707116731 MODEL1707116732 MODEL1707116752 .

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

MODEL1707110522.xml Patient derived genome scale metabolic model for Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma 7.16 MB Preview | Download

Additional files

Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma.zip All 'Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma' models 60.00 MB Preview | Download

  • Model originally submitted by : Adil Mardinoglu
  • Submitted: Aug 17, 2017 5:07:43 PM
  • Last Modified: Jan 7, 2020 5:34:35 PM
  • Version: 3 public model Download this version
    • Submitted on: Jan 7, 2020 5:34:35 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Import of 'Uhlén2017 - TCGA-2W-A8YY-01A - Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (female, 52 years)'.
  • Version: 2 public model Download this version
    • Submitted on: Aug 17, 2017 5:07:36 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Current version of Uhlén2017 - TCGA-2W-A8YY-01A - Cervical Squamous Cell Carcinoma and Endocervical Adenocarcinoma (female, 52 years)
  • Version: 1 public model Download this version
    • Submitted on: Aug 17, 2017 5:07:43 PM
    • Submitted by: Adil Mardinoglu
    • With comment: Original import of MODEL1707110522.xml.origin

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