Decreased TGF[beta] signaling and increased COX2 expression in high risk women with increased mammographic breast density

High mammographic density is associated with a increased risk of breast cancer. We hypothesized that specific pathways exist that are associated with increased mammographic density, and may therefore be used to identify potential targets for chemoprevention. Histologically confirmed normal breast ti...

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Veröffentlicht in:Breast cancer research and treatment 2010-01, Vol.119 (2), p.305
Hauptverfasser: Yang, Wei Tse, Lewis, Michael T, Hess, Kenneth, Wong, Helen, Tsimelzon, Anna, Karadag, Nese, Cairo, Michelina, Wei, Caimaio, Meric-bernstam, Funda, Brown, Powel, Arun, Banu, Hortobagyi, Gabriel N, Sahin, Aysegul, Chang, Jenny C
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container_issue 2
container_start_page 305
container_title Breast cancer research and treatment
container_volume 119
creator Yang, Wei Tse
Lewis, Michael T
Hess, Kenneth
Wong, Helen
Tsimelzon, Anna
Karadag, Nese
Cairo, Michelina
Wei, Caimaio
Meric-bernstam, Funda
Brown, Powel
Arun, Banu
Hortobagyi, Gabriel N
Sahin, Aysegul
Chang, Jenny C
description High mammographic density is associated with a increased risk of breast cancer. We hypothesized that specific pathways exist that are associated with increased mammographic density, and may therefore be used to identify potential targets for chemoprevention. Histologically confirmed normal breast tissue was collected from women undergoing breast surgery who had available demographic data and mammograms for review. Women with low versus high mammographic breast density were compared. Differentially expressed genes using Affymetrix HG U133Plus2 chips were identified in dense versus non-dense tissue. Immunohistochemical analysis (IHC) of estrogen receptor, progesterone receptor, Ki67, and COX2 expression was performed. About 66 women were identified, 28 (42%) had high, and 38 (58%) had low mammographic density. About 73 genes had differential expression between normal breast tissue with high and low mammographic density (P < 0.001, fold change ≥1.5 with a low false discovery rate (
doi_str_mv 10.1007/s10549-009-0350-0
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We hypothesized that specific pathways exist that are associated with increased mammographic density, and may therefore be used to identify potential targets for chemoprevention. Histologically confirmed normal breast tissue was collected from women undergoing breast surgery who had available demographic data and mammograms for review. Women with low versus high mammographic breast density were compared. Differentially expressed genes using Affymetrix HG U133Plus2 chips were identified in dense versus non-dense tissue. Immunohistochemical analysis (IHC) of estrogen receptor, progesterone receptor, Ki67, and COX2 expression was performed. About 66 women were identified, 28 (42%) had high, and 38 (58%) had low mammographic density. About 73 genes had differential expression between normal breast tissue with high and low mammographic density (P &lt; 0.001, fold change ≥1.5 with a low false discovery rate (&lt;10%). Network and canonical pathway analysis indicated decreased TGFβ signaling (TGFBR2, SOS, SMAD3, CD44 and TNFRSF11B) in dense breast tissue relative to non-dense breast. By IHC, only COX2 expression in the stroma was statistically significant on multivariate analysis. TGFβ ligands are currently the only growth factors known to prevent mammary epithelial cell proliferation. TGFβ signaling has been reported to be inhibited by COX-2, and these molecules are highly differentially expressed in individuals at high risk of developing breast cancer. These results strongly suggest that COX2 inhibition should be investigated for breast cancer prevention despite possible increase in cardiovascular risk. 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subjects Breast cancer
Cancer research
Density
Gene expression
Immunohistochemistry
Mammography
Preventive medicine
Risk factors
title Decreased TGF[beta] signaling and increased COX2 expression in high risk women with increased mammographic breast density
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