» Articles » PMID: 33514799

The Role of Gene to Gene Interaction in the Breast's Genomic Signature of Pregnancy

Overview
Journal Sci Rep
Specialty Science
Date 2021 Jan 30
PMID 33514799
Citations 2
Authors
Affiliations
Soon will be listed here.
Abstract

Full-term pregnancy at an early age confers long-term protection against breast cancer. Published data shows a specific transcriptomic profile controlling chromatin remodeling that could play a relevant role in the pregnancy-induced protection. This process of chromatin remodeling, induced by the breast differentiation caused by the first full-term pregnancy, has mainly been measured by the expression level of genes individually considered. However, genes equally expressed during the process of chromatin remodeling may behave differently in their interaction with other genes. These changes at the gene cluster level could constitute an additional dimension of chromatin remodeling and therefore of the pregnancy-induced protection. In this research, we apply Information and Graph Theories, Differential Co-expression Network Analysis, and Multiple Regression Analysis, specially designed to examine structural and informational aspects of data sets, to analyze this question. Our findings demonstrate that, independently of the changes in the gene expression at the individual level, there are significant changes in gene-gene interactions and gene cluster behaviors. These changes indicate that the parous breast, through the process of early full-term pregnancy, generates more modules in the networks, with higher density, and a genomic structure performing additional and more complex functions than those found in the nulliparous breast.

Citing Articles

Age at First Full-term Pregnancy and Other Reproductive Factors Are Associated with Mammographic Breast Density in Postmenopausal Women: A Study in Flanders, Belgium.

Vandeloo M, Kellen E, Fang C, Ross E, Vancoillie L, Bruckers L Cancer Res Commun. 2025; 5(2):267-276.

PMID: 39835404 PMC: 11803437. DOI: 10.1158/2767-9764.CRC-24-0561.


Transcriptomic Analysis of the Aged Nulliparous Mouse Ovary Suggests a Stress State That Promotes Pro-Inflammatory Lipid Signaling and Epithelial Cell Enrichment.

Chacon C, Mounieres C, Ampuero S, Urzua U Int J Mol Sci. 2024; 25(1).

PMID: 38203684 PMC: 10779227. DOI: 10.3390/ijms25010513.


Do Aging and Parity Affect VEGF-A/VEGFR Content and Signaling in the Ovary?-A Mouse Model Study.

Di Nisio V, Rossi G, Chiominto A, Pompili E, Cecconi S Int J Mol Sci. 2023; 24(4).

PMID: 36834730 PMC: 9966908. DOI: 10.3390/ijms24043318.

References
1.
Wu Z . A review of statistical methods for preprocessing oligonucleotide microarrays. Stat Methods Med Res. 2010; 18(6):533-41. PMC: 3152825. DOI: 10.1177/0962280209351924. View

2.
Bray D . Protein molecules as computational elements in living cells. Nature. 1995; 376(6538):307-12. DOI: 10.1038/376307a0. View

3.
Bo H, Gong Z, Zhang W, Li X, Zeng Y, Liao Q . Upregulated long non-coding RNA AFAP1-AS1 expression is associated with progression and poor prognosis of nasopharyngeal carcinoma. Oncotarget. 2015; 6(24):20404-18. PMC: 4653014. DOI: 10.18632/oncotarget.4057. View

4.
MacMahon B, Cole P, Lin T, Lowe C, MIRRA A, RAVNIHAR B . Age at first birth and breast cancer risk. Bull World Health Organ. 1970; 43(2):209-21. PMC: 2427645. View

5.
Ashburner M, Ball C, Blake J, Botstein D, Butler H, Cherry J . Gene ontology: tool for the unification of biology. The Gene Ontology Consortium. Nat Genet. 2000; 25(1):25-9. PMC: 3037419. DOI: 10.1038/75556. View