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

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

Abstract 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 bioma...

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Bibliographic Details
Main Authors: Stephan Bernhardt, Michaela Bayerlová, Martina Vetter, Astrid Wachter, Devina Mitra, Volker Hanf, Tilmann Lantzsch, Christoph Uleer, Susanne Peschel, Jutta John, Jörg Buchmann, Edith Weigert, Karl-Friedrich Bürrig, Christoph Thomssen, Ulrike Korf, Tim Beissbarth, Stefan Wiemann, Eva Johanna Kantelhardt
Format: Article
Language:English
Published: BMC 2017-10-01
Series:Breast Cancer Research
Subjects:
Protein arrays
Breast cancer
Cancer metabolism
SHMT2
SLC1A5
Online Access:http://link.springer.com/article/10.1186/s13058-017-0905-7

Internet

http://link.springer.com/article/10.1186/s13058-017-0905-7

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