Macrophage-Colony Stimulating Factor (CSF1) Predicts Breast Cancer Progression and Mortality.
By: Elin Richardsen, Rebecca Dale Uglehus, Stein Harald Johnsen, Lill-Tove Busund

Department of Clinical Pathology, University Hospital of Northern Norway, Tromsø, Norway Department of Medical Biology, The Arctic University of Norway, Tromsø, Norway elin.richardsen@unn.no.
2015-2-11; doi:
Abstract

Background

Macrophage colony-stimulating factor (CSF1), also known as colony-stimulating factor-1 (CSF1), and its receptor CSF1R have been correlated with poor prognosis in many cancer types including breast cancer. Herein, we investigated the prognostic impact of CSF1 and CSF1R expression in tumor epithelial and stromal compartments in primary breast cancer and axillary lymph node metastases. In addition, the density of CD68+ tumor-associated macrophages (TAMs) and CD3+ T-lymphocytes was examined.

Materials

Tumor tissue was obtained at the time of primary surgery from 68 prior treatment breast cancer patients, 38 with axillary lymph node metastases and 30 patients without metastases. Digital video analysis was performed on immunohistochemically stained slides.

Results

The expression of CSF1, CSF1R and the density of TAMs and CD3+ T-lymphocytes were then correlated to metastases and disease-specific mortality. Metastasized primary cancers had higher tumor epithelial and stromal expressions of CSF1 (p<0.001 and p=0.002, respectively) and CSF1R (both p=0.03) compared to non-metastatic cancers. Similar findings were made for the density of CD68+ (p=0.003) and CD3+ cells in the tumor epithelium (p<0.001). In multivariate analysis, a high tumor epithelial expression of CSF1 in primary breast cancer predicted mortality (hazard ratio (HR)=8.6, p=0.039).

Conclusion

High expression of CSF1 and CSF1R and high density of TAMs and CD3+ T-lymphocytes were related to breast cancer progression. CSF1 expression in tumor epithelium predicted breast cancer mortality.



Copyright© 2015 International Institute of Anticancer Research (Dr. John G. Delinassios), All rights reserved.

PMID:25667468






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