Characterization of a genomic signature of pregnancy identified in the breast.

  title={Characterization of a genomic signature of pregnancy identified in the breast.},
  author={Ilana Belitskaya-Levy and Anne Zeleniuch-Jacquotte and Jos{\'e} Russo and Irma H. Russo and P{\'a}l Bord{\'a}s and Janet {\AA}hman and Yelena Afanasyeva and Robert Johansson and Per Lenner and Xiaochun Li and Ricardo L{\'o}pez de Cicco and Suraj Peri and Eric Ross and Patricia A. Russo and Julia Santucci-Pereira and Fathima S Sheriff and Michael J. Slifker and G{\"o}ran Hallmans and Paolo G. Toniolo and Alan A. Arslan},
  journal={Cancer prevention research},
  volume={4 9},
The objective of this study was to comprehensively compare the genomic profiles in the breast of parous and nulliparous postmenopausal women to identify genes that permanently change their expression following pregnancy. The study was designed as a two-phase approach. In the discovery phase, we compared breast genomic profiles of 37 parous with 18 nulliparous postmenopausal women. In the validation phase, confirmation of the genomic patterns observed in the discovery phase was sought in an… CONTINUE READING

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Publications referenced by this paper.
Showing 1-10 of 29 references

Gene expression patterns in the human breast after pregnancy.

Cancer prevention research • 2010
View 4 Excerpts
Highly Influenced

Reproducibility of gene expression signature-based predictions in replicate experiments.

Clinical cancer research : an official journal of the American Association for Cancer Research • 2006
View 7 Excerpts
Highly Influenced

A general framework for multiple testing dependence.

Proceedings of the National Academy of Sciences of the United States of America • 2008

Breast development, hormones and cancer.

Advances in experimental medicine and biology • 2008
View 1 Excerpt

Core Team. R: a language and environment for statistical computing. Vienna, Austria: R Foundation for Statistical Computing

R Development
View 1 Excerpt

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