Ontology highlight
ABSTRACT: Purpose
Although breast cancers are known to be molecularly heterogeneous, their metabolic phenotype is less well-understood and may predict response to chemotherapy. This study aimed to evaluate metabolic genes as individual predictive biomarkers in breast cancer.Experimental design
mRNA microarray data from breast cancer cell lines were used to identify bimodal genes-those with highest potential for robust high/low classification in clinical assays. Metabolic function was evaluated in vitro for the highest scoring metabolic gene, lactate dehydrogenase B (LDHB). Its expression was associated with neoadjuvant chemotherapy response and relapse within clinical and PAM50-derived subtypes.Results
LDHB was highly expressed in cell lines with glycolytic, basal-like phenot
SUBMITTER: Dennison JB
PROVIDER: S-EPMC3727144 | biostudies-literature | 2013 Jul
REPOSITORIES: biostudies-literature