Gene expression profiling of human breast cancer during pregnancy

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.

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Azim HA Jr, Brohée S, Peccatori FA, Desmedt C, Loi S, Lambrechts D, Dell'Orto P, Majjaj S, Jose V, Rotmensz N, Ignatiadis M, Pruneri G, Piccart M, Viale G, Sotiriou C