Go to The Journal of Clinical Investigation
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact
  • Physician-Scientist Development
  • Current issue
  • Past issues
  • By specialty
    • COVID-19
    • Cardiology
    • Immunology
    • Metabolism
    • Nephrology
    • Oncology
    • Pulmonology
    • All ...
  • Videos
  • Collections
    • In-Press Preview
    • Resource and Technical Advances
    • Clinical Research and Public Health
    • Research Letters
    • Editorials
    • Perspectives
    • Physician-Scientist Development
    • Reviews
    • Top read articles

  • Current issue
  • Past issues
  • Specialties
  • In-Press Preview
  • Resource and Technical Advances
  • Clinical Research and Public Health
  • Research Letters
  • Editorials
  • Perspectives
  • Physician-Scientist Development
  • Reviews
  • Top read articles
  • About
  • Editors
  • Consulting Editors
  • For authors
  • Publication ethics
  • Publication alerts by email
  • Transfers
  • Advertising
  • Job board
  • Contact

Usage Information

Selective inhibition of mTORC1 in tumor vessels increases antitumor immunity
Shan Wang, Ariel Raybuck, Eileen Shiuan, Sung Hoon Cho, Qingfei Wang, Dana M. Brantley-Sieders, Deanna Edwards, Margaret M. Allaman, James Nathan, Keith T. Wilson, David DeNardo, Siyuan Zhang, Rebecca Cook, Mark Boothby, Jin Chen
Shan Wang, Ariel Raybuck, Eileen Shiuan, Sung Hoon Cho, Qingfei Wang, Dana M. Brantley-Sieders, Deanna Edwards, Margaret M. Allaman, James Nathan, Keith T. Wilson, David DeNardo, Siyuan Zhang, Rebecca Cook, Mark Boothby, Jin Chen
View: Text | PDF
Research Article Immunology Oncology

Selective inhibition of mTORC1 in tumor vessels increases antitumor immunity

  • Text
  • PDF
Abstract

A tumor blood vessel is a key regulator of tissue perfusion, immune cell trafficking, cancer metastasis, and therapeutic responsiveness. mTORC1 is a signaling node downstream of multiple angiogenic factors in the endothelium. However, mTORC1 inhibitors have limited efficacy in most solid tumors, in part due to inhibition of immune function at high doses used in oncology patients and compensatory PI3K signaling triggered by mTORC1 inhibition in tumor cells. Here we show that low-dose RAD001/everolimus, an mTORC1 inhibitor, selectively targets mTORC1 signaling in endothelial cells (ECs) without affecting tumor cells or immune cells, resulting in tumor vessel normalization and increased antitumor immunity. Notably, this phenotype was recapitulated upon targeted inducible gene ablation of the mTORC1 component Raptor in tumor ECs (RaptorECKO). Tumors grown in RaptorECKO mice displayed a robust increase in tumor-infiltrating lymphocytes due to GM-CSF–mediated activation of CD103+ dendritic cells and displayed decreased tumor growth and metastasis. GM-CSF neutralization restored tumor growth and metastasis, as did T cell depletion. Importantly, analyses of human tumor data sets support our animal studies. Collectively, these findings demonstrate that endothelial mTORC1 is an actionable target for tumor vessel normalization, which could be leveraged to enhance antitumor immune therapies.

Authors

Shan Wang, Ariel Raybuck, Eileen Shiuan, Sung Hoon Cho, Qingfei Wang, Dana M. Brantley-Sieders, Deanna Edwards, Margaret M. Allaman, James Nathan, Keith T. Wilson, David DeNardo, Siyuan Zhang, Rebecca Cook, Mark Boothby, Jin Chen

×

Usage data is cumulative from February 2025 through February 2026.

Usage JCI PMC
Text version 778 124
PDF 135 26
Figure 428 7
Supplemental data 89 4
Citation downloads 107 0
Totals 1,537 161
Total Views 1,698
(Click and drag on plot area to zoom in. Click legend items above to toggle)

Usage information is collected from two different sources: this site (JCI) and Pubmed Central (PMC). JCI information (compiled daily) shows human readership based on methods we employ to screen out robotic usage. PMC information (aggregated monthly) is also similarly screened of robotic usage.

Various methods are used to distinguish robotic usage. For example, Google automatically scans articles to add to its search index and identifies itself as robotic; other services might not clearly identify themselves as robotic, or they are new or unknown as robotic. Because this activity can be misinterpreted as human readership, data may be re-processed periodically to reflect an improved understanding of robotic activity. Because of these factors, readers should consider usage information illustrative but subject to change.

Advertisement

Copyright © 2026 American Society for Clinical Investigation
ISSN 2379-3708

Sign up for email alerts