Plasma CAMK2A predicts chemotherapy resistance in metastatic triple negative breast cancer.
Ontology highlight
ABSTRACT: BACKGROUND:Chemotherapy resistance is a great obstacle in effective treatment for metastatic triple negative breast cancer (TNBC). The ability to predict chemotherapy response would allow chemotherapy administration to be directed toward only those patients who would benefit, thus maximizing treatment efficiency. Differentially expressed plasma proteins may serve as putative biomarkers for predicting chemotherapy outcomes. PATIENTS AND METHODS:In this study, 26 plasma samples (10 samples with partial response (S) and 16 samples with progression disease (R)) from patients with metastatic TNBC were measured by Tandem Mass Tag (TMT)-based proteomics analysis to identify differentially expressed proteins between the S and R group. Potential proteinswere validated with enzyme-linked immunosorbe
SUBMITTER: Shao B
PROVIDER: S-EPMC6958019 | biostudies-literature | 2018
REPOSITORIES: biostudies-literature
ACCESS DATA