Abstract
Mammography is an important screening modality for the early detection of DCIS and breast cancer lesions. More specifically, high mammographic density is associated with an increased risk of breast cancer. However, the biological processes underlying this phenomenon remain largely unknown. Here, we re-interrogated genome-wide transcriptional profiling data obtained from low-density (LD) mammary fibroblasts (n = 6 patients) and high-density (HD) mammary fibroblasts (n = 7 patients) derived from a series of 13 female patients. We used these raw data to generate a "breast density" gene signature consisting of>1250 transcripts that were significantly increased in HD fibroblasts, relative to LD fibroblasts. We then focused on the genes that were increased by ≥ 1.5-fold (P
Original language | English |
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Pages (from-to) | 580-599 |
Number of pages | 19 |
Journal | Cell cycle (Georgetown, Tex.) |
Volume | 13 |
Issue number | 4 |
Early online date | 5 Dec 2013 |
DOIs | |
Publication status | Published - 15 Feb 2014 |
Keywords
- EGF
- FGF
- JNK
- PDGF
- SAPK
- TGF-beta
- breast cancer
- cancer associated fibroblasts
- fibrosis
- gene signature
- inflammation
- mammographic density
- mammography
- microenvironment
- stress signaling
- tumor stroma
- wound healing