Proteomic profiling of breast cancer metabolism identifies SHMT2 and ASCT2 as prognostic factors

BACKGROUND: Breast cancer tumors are known to be highly heterogeneous and differences in their metabolic phenotypes, especially at protein level, are less well-understood. Profiling of metabolism-related proteins harbors the potential to establish new patient stratification regimes and biomarkers pr...

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Detalles Bibliográficos
Autores principales: Bernhardt, Stephan, Bayerlová, Michaela, Vetter, Martina, Wachter, Astrid, Mitra, Devina, Hanf, Volker, Lantzsch, Tilmann, Uleer, Christoph, Peschel, Susanne, John, Jutta, Buchmann, Jörg, Weigert, Edith, Bürrig, Karl-Friedrich, Thomssen, Christoph, Korf, Ulrike, Beissbarth, Tim, Wiemann, Stefan, Kantelhardt, Eva Johanna
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2017
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5637318/
https://www.ncbi.nlm.nih.gov/pubmed/29020998
http://dx.doi.org/10.1186/s13058-017-0905-7

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5637318/
https://www.ncbi.nlm.nih.gov/pubmed/29020998
http://dx.doi.org/10.1186/s13058-017-0905-7

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