Gene expression profiling of human breast cancer during pregnancy

ABSTRACT: Using a dataset of 54 pregnant and 113 age/stage-matched non-pregnant breast cancer patients with complete clinical and survival data; we evaluated the pattern of hot spot somatic mutations and performed transcriptomic profiling using Sequenom® and Affymetrix®, respectively. Breast cancer molecular subtypes were defined using PAM50 and 3-Gene classifiers. We performed Gene set enrichment analysis (GSEA) to evaluate pathways associated with diagnosis during pregnancy. We investigated the differential expression of cancer-related genes and published gene sets according to pregnancy. We finally investigated genes associated with disease-free survival. We identified 65 patients who were diagnosed with breast cancer during pregnancy. Moreover, for each case, two breast cancer patients who were

ORGANISM(S): Homo sapiens

SUBMITTER: Sylvain Brohée 

PROVIDER: E-GEOD-53031 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress