Full-term Pregnancy Induces a Specific Genomic Signature in the Human Breast
| Autor: | Russo, José, Balogh, Gabriela Andrea, Russo, Irma H., Fox Chase Cancer Center Hospital Network Participants |
|---|---|
| Rok vydání: | 2008 |
| Předmět: |
Oncology
medicine.medical_specialty Epidemiology Mammary gland Breast Neoplasms Biology Ciencias Biológicas breast cancer Breast cancer prevention Pregnancy Internal medicine Biomarkers Tumor medicine Humans Neoplasm Invasiveness Aged Oligonucleotide Array Sequence Analysis Aged 80 and over Gynecology Reverse Transcriptase Polymerase Chain Reaction Gene Expression Profiling Carcinoma Ductal Breast Case-control study biomarkers Genomic signature Bioquímica y Biología Molecular Middle Aged medicine.disease Gene Expression Regulation Neoplastic Gene expression profiling medicine.anatomical_structure Case-Control Studies Genomic Profile Female DNA microarray CIENCIAS NATURALES Y EXACTAS |
| Zdroj: | Cancer Epidemiology, Biomarkers & Prevention. 17:51-66 |
| ISSN: | 1538-7755 1055-9965 |
| Popis: | Breast cancer riskhas traditionally been linked to nulliparity or late first full-term pregnancy, whereas young age at first childbirth, multiparity, and breastfeeding are associated with a reduced risk. Early pregnancy confers protection by inducing breast differentiation, which imprints a specific and permanent genomic signature in experimental rodent models. For testing whether the same phenomenon was detectable in the atrophic breast of postmenopausal parous women, we designed a case-control study for the analysis of the gene expression profile of RNA extracted from epithelial cells microdissected from normal breast tissues obtained from 18 parous and 7 nulliparous women free of breast pathology (controls), and 41 parous and 8 nulliparous women with history of breast cancer (cases). RNA was hybridized to cDNA glass microarrays containing 40,000 genes; arrays were scanned and the images were analyzed using ImaGene software version 4.2. Normalization and statistical analysis were carried out using Linear Models for Microarrays and GeneSight software for hierarchical clustering. The parous control group contained 2,541 gene sequences representing 18 biological processes that were differentially expressed in comparison with the other three groups. Hierarchical clustering of these genes revealed that the combined parity/absence of breast cancer data generated a distinct genomic profile that differed from those of the breast cancer groups, irrespective of parity history, and from the nulliparous cancer-free group, which has been traditionally identified as a high-risk group. The signature that identifies those women in whom parity has been protective will serve as a molecular biomarker of differentiation for evaluating the potential use of preventive agents. Fil: Russo, José. Breast Cancer Research Laboratory. Fox Chase Cancer Center; Estados Unidos Fil: Balogh, Gabriela Andrea. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Bahía Blanca. Centro de Recursos Naturales Renovables de la Zona Semiarida. Universidad Nacional del Sur. Centro de Recursos Naturales Renovables de la Zona Semiarida; Argentina Fil: Russo, Irma H.. Breast Cancer Research Laboratory. Fox Chase Cancer Center; Estados Unidos Fil: Fox Chase Cancer Center Hospital Network Participants. |
| Databáze: | OpenAIRE |
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