Vitamin D receptor expression in invasive breast tumors and breast cancer survival

Abstract Background Vitamin D has been suggested to prevent and improve the prognosis of several cancers, including breast cancer. We have previously shown a U-shaped association between pre-diagnostic serum levels of vitamin D and risk of breast cancer-related death, with poor survival in patients with the lowest and the highest levels respectively, as compared to the intermediate group. Vitamin D exerts its functions through the vitamin D receptor (VDR), and the aim of the current study was to investigate if the expression of VDR in invasive breast tumors is associated with breast cancer prognosis. Methods VDR expression was evaluated in a tissue microarray of 718 invasive breast tumors. Covariation between VDR expression and established prognostic factors for breast cancer was analyzed, as well as associations between VDR expression and breast cancer mortality. Results We found that positive VDR expression in the nuclei and cytoplasm of breast cancer cells was associated with favorable tumor characteristics such as smaller size, lower grade, estrogen receptor positivity and progesterone receptor positivity, and lower expression of Ki67. In addition, both intranuclear and cytoplasmic VDR expression were associated with a low risk of breast cancer mortality, hazard ratios 0.56 (95% CI 0.34â 0.91) and 0.59 (0.30â 1.16) respectively. Conclusions This study found that high expression of VDR in invasive breast tumors is associated with favorable prognostic factors and a low risk of breast cancer death. Hence, a high VDR expression is a positive prognostic factor.

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PID https://www.doi.org/10.6084/m9.figshare.c.4593251
PID https://www.doi.org/10.6084/m9.figshare.c.4593251.v1
URL http://dx.doi.org/10.6084/m9.figshare.c.4593251
URL http://dx.doi.org/10.6084/m9.figshare.c.4593251.v1
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Author Huss, Linnea
Author Butt, Salma
Author Borgquist, Signe
Author Elebro, Karin
Author Sandsveden, Malte
Author Rosendahl, Ann
Author Manjer, Jonas
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Collected From Datacite
Hosted By figshare
Publication Date 2019-01-01
Publisher Figshare
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Language UNKNOWN
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keyword FOS: Biological sciences
system:type other
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Source https://science-innovation-policy.openaire.eu/search/other?orpId=dedup_wf_001::1fa7306cf0d6aa319be86806f013ceb6
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Last Updated 18 December 2020, 18:48 (CET)
Created 18 December 2020, 18:48 (CET)