4.6 Article

Loss of Host Type-I IFN Signaling Accelerates Metastasis and Impairs NK-cell Antitumor Function in Multiple Models of Breast Cancer

期刊

CANCER IMMUNOLOGY RESEARCH
卷 3, 期 11, 页码 1207-1217

出版社

AMER ASSOC CANCER RESEARCH
DOI: 10.1158/2326-6066.CIR-15-0065

关键词

-

资金

  1. Cancer Council Victoria
  2. National Health and Medical Research Council (NHMRC)
  3. NHMRC
  4. ARC
  5. National Breast Cancer Foundation [NBCF]
  6. Cure Cancer Australia
  7. National Breast Cancer Foundation [NC-13-26, CG-10-04, PS-15-022, PF-12-14] Funding Source: researchfish

向作者/读者索取更多资源

Metastatic progression is the major cause of breast cancer-related mortality. By examining multiple syngeneic preclinical breast cancer models in mice lacking a functional type-I interferon receptor (Ifnar1(-/-) mice), we show that host-derived type-I interferon (IFN) signaling is a critical determinant of metastatic spread that is independent of primary tumor growth. In particular, we show that bone metastasis can be accelerated in Balb/c Ifnar1(-/-) mice bearing either 4T1 or 66cl4 orthotopic tumors and, for the first time, present data showing the development of bone metastasis in the C57Bl/6 spontaneous MMTV-PyMT-driven model of tumorigenesis. Further exploration of these results revealed that endogenous type-I IFN signaling to the host hematopoietic system is a key determinant of metastasis-free survival and critical to the responsiveness of the circulating natural killer (NK)-cell population. We find that in vivo-stimulated NK cells derived from wild-type, but not Ifnar1(-/-), mice can eliminate the 4T1 and 66cl4 breast tumor lines with varying kinetics in vitro. Together, this study indicates that the dysregulated immunity resulting from a loss of host type-I IFN signaling is sufficient to drive metastasis, and provides a rationale for targeting the endogenous type-I IFN pathway as an antimetastatic strategy. (C) 2015 AACR.

作者

我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。

评论

主要评分

4.6
评分不足

次要评分

新颖性
-
重要性
-
科学严谨性
-
评价这篇论文

推荐

暂无数据
暂无数据