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Biology of breastcancer duringpregnancy usinggenomic profiling Hamdy A. AzimS. BrohéeFedro A. Peccatori2014 год

Biology of breast cancer during pregnancy using genomic profiling
статья из журнала

Полный текстСтраница публикацииПубликация в OpenAlex
Аннотация: Breast cancer during pregnancy is rare and is associated with relatively poor prognosis. No information is available on its biological features at the genomic level. Using a dataset of 54 pregnant and 113 non-pregnant breast cancer patients, we evaluated the pattern of hot spot somatic mutations and did transcriptomic profiling using Sequenom and Affymetrix respectively. We performed gene set enrichment analysis to evaluate the pathways associated with diagnosis during pregnancy. We also evaluated the expression of selected cancer-related genes in pregnant and non-pregnant patients and correlated the results with changes occurring in the normal breast using a pregnant murine model. We finally investigated aberrations associated with disease-free survival (DFS). No significant differences in mutations were observed. Of the total number of patients, 18.6% of pregnant and 23% of non-pregnant patients had a PIK3CA mutation. Around 30% of tumors were basal, with no differences in the distribution of breast cancer molecular subtypes between pregnant and non-pregnant patients. Two pathways were enriched in tumors diagnosed during pregnancy: the G protein-coupled receptor pathway and the serotonin receptor pathway (FDR <0.0001). Tumors diagnosed during pregnancy had higher expression of PD1 (PDCD1; P=0.015), PDL1 (CD274; P=0.014), and gene sets related to SRC (P=0.004), IGF1 (P=0.032), and β-catenin (P=0.019). Their expression increased almost linearly throughout gestation when evaluated on the normal breast using a pregnant mouse model underscoring the potential effect of the breast microenvironment on tumor phenotype. No genes were associated with DFS in a multivariate model, which could be due to low statistical power. Diagnosis during pregnancy impacts the breast cancer transcriptome including potential cancer targets.
Год издания: 2014
Авторы: Hamdy A. Azim, S. Brohée, Fedro A. Peccatori, Christine Desmedt, Sherene Loi, Diether Lambrechts, Patrizia Dell’Orto, Samira Majjaj, Vinu José, Nicole Rotmensz, Michail Ignatiadis, Giancarlo Pruneri, M. Piccart, G. Viale, C. Sotiriou
Издательство: Bioscientifica
Источник: Endocrine Related Cancer
Ключевые слова: Cancer Risks and Factors, Cancer-related Molecular Pathways, Estrogen and related hormone effects
Другие ссылки: Endocrine Related Cancer (PDF)
Endocrine Related Cancer (HTML)
PubMed (HTML)