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Data from A Subpopulation of Luminal Progenitors Secretes Pleiotrophin to Promote Angiogenesis and Metastasis in Inflammatory Breast Cancer

Posted on 2024-06-04 - 07:22
Abstract

Inflammatory breast cancer (IBC) is a highly aggressive subtype of breast cancer characterized by rapidly arising diffuse erythema and edema. Genomic studies have not identified consistent alterations and mechanisms that differentiate IBC from non-IBC tumors, suggesting that the microenvironment could be a potential driver of IBC phenotypes. Here, using single-cell RNA sequencing, multiplex staining, and serum analysis in patients with IBC, we identified enrichment of a subgroup of luminal progenitor (LP) cells containing high expression of the neurotropic cytokine pleiotrophin (PTN) in IBC tumors. PTN secreted by the LP cells promoted angiogenesis by directly interacting with the NRP1 receptor on endothelial tip cells located in both IBC tumors and the affected skin. NRP1 activation in tip cells led to recruitment of immature perivascular cells in the affected skin of IBC, which are correlated with increased angiogenesis and IBC metastasis. Together, these findings reveal a role for cross-talk between LPs, endothelial tip cells, and immature perivascular cells via PTN–NRP1 axis in the pathogenesis of IBC, which could lead to improved strategies for treating IBC.

Significance:

Nonmalignant luminal progenitor cells expressing pleiotrophin promote angiogenesis by activating NRP1 and induce a prometastatic tumor microenvironment in inflammatory breast cancer, providing potential therapeutic targets for this aggressive breast cancer subtype.

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FUNDING

National Natural Science Foundation of China (NSFC)

Beijing Science and Technology Innovation Medical Development Foundation

National Key Research and Development Program of China (NKPs)

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Cancer Research

AUTHORS (20)

  • Mengmeng Zhang
    Kaiwen Zhou
    Zilin Wang
    Ting Liu
    Laura E. Stevens
    Filipa Lynce
    Wendy Y. Chen
    Sui Peng
    Yubin Xie
    Duanyang Zhai
    Qianjun Chen
    Yawei Shi
    Huijuan Shi
    Zhongyu Yuan
    Xiaoping Li
    Juan Xu
    Zhenhai Cai
    Jianping Guo
    Nan Shao
    Ying Lin
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