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TGF-β signaling in myeloid cells is required for tumor metastasis

  • Yanli Pang
    ,
  • Sudheer Kumar Gara
    ,
  • Bhagelu R Achyut
    ,
  • Zhaoyang Li
    ,
  • Hannah H Yan
    ,
  • Chi-Ping Day
Scholary Output:
Contribution to journal
Article
Peer-review

Sustainable Development Goals

  • SDG 3 - Good Health and Well-being
    SDG 3 Good Health and Well

Abstract

TGF-β is overexpressed in advanced human cancers. It correlates with metastasis and poor prognosis. However, TGF-β functions as both a tumor suppressor and a tumor promoter. Here, we report for the first time that genetic deletion of Tgfbr2 specifically in myeloid cells (Tgfbr2(MyeKO)) significantly inhibited tumor metastasis. Reconstitution of tumor-bearing mice with Tgfbr2(MyeKO) bone marrow recapitulated the inhibited metastasis phenotype. This effect is mediated through decreased production of type II cytokines, TGF-β1, arginase 1, and inducible nitric oxide synthase, which promoted IFN-γ production and improved systemic immunity. Depletion of CD8 T cells diminished the metastasis defect in the Tgfbr2(MyeKO) mice. Consistent with animal studies, myeloid cells from patients with advanced-stage cancer showed increased TGF-β receptor II expression. Our studies show that myeloid-specific TGF-β signaling is an essential component of the metastasis-promoting puzzle of TGF-β. This is in contrast to the previously reported tumor-suppressing phenotypes in fibroblasts, epithelial cells, and T cells.

Publication Information

Output type

Scholary Output:
Contribution to journal
Article
Peer-review

Original language

English (US)

Pages from-to (Number of pages)

Pages 936-51 (16 pages)

Journal (Volume, Issue Number)

Cancer Discovery (Volume 3, Issue 8)

Publication milestones

  • Published - 08/2013

Publication status

Published - 08/2013

ISSN

2159-8274

Publication IDs

  • PubMed: 23661553
  • Scopus: 84881515823

Publication metrics

Metrics

SciVal
citations
78
Scopus
citations
SciVal
FWCI
2.51
SciVal
Author count
10
SciVal
Paper percentile
96
SciVal
Top percentile
5
Fractional count
1
Fractional count
0.10
Fractional count
9
Fractional count
0.90
Fractional count
1
Fractional count
1

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Citation count
134
Captures
125