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 biomarkers promoting individualized therapy. In our study, we aimed to examine the relationship between metabolism-associated protein expression profiles and clinicopathological characteristics in a large cohort of breast cancer patients.

Methods

Breast cancer specimens from 801 consecutive patients, diagnosed between 2009 and 2011, were investigated using reverse phase protein arrays (RPPA). Patients were treated in accordance with national guidelines in five certified German breast centers. T

SUBMITTER: Bernhardt S 

PROVIDER: S-EPMC5637318 | biostudies-literature | 2017 Oct

REPOSITORIES: biostudies-literature