Efficient blockade of locally reciprocated tumor-macrophage signaling using a TAM-avid nanotherapy.


Journal

Science advances
ISSN: 2375-2548
Titre abrégé: Sci Adv
Pays: United States
ID NLM: 101653440

Informations de publication

Date de publication:
05 2020
Historique:
received: 14 10 2019
accepted: 20 03 2020
entrez: 5 6 2020
pubmed: 5 6 2020
medline: 5 6 2020
Statut: epublish

Résumé

Interpreting how multicellular interactions in the tumor affect resistance pathways to BRAF and MEK1/2 MAPK inhibitors (MAPKi) remains a challenge. To investigate this, we profiled global ligand-receptor interactions among tumor and stromal/immune cells from biopsies of MAPK-driven disease. MAPKi increased tumor-associated macrophages (TAMs) in some patients, which correlated with poor clinical response, and MAPKi coamplified bidirectional tumor-TAM signaling via receptor tyrosine kinases (RTKs) including AXL, MERTK, and their ligand GAS6. In xenograft tumors, intravital microscopy simultaneously monitored in situ single-cell activities of multiple kinases downstream of RTKs, revealing MAPKi increased TAMs and enhanced bypass signaling in TAM-proximal tumor cells. As a proof-of-principle strategy to block this signaling, we developed a multi-RTK kinase inhibitor nanoformulation that accumulated in TAMs and delayed disease progression. Thus, bypass signaling can reciprocally amplify across nearby cell types, offering new opportunities for therapeutic design.

Identifiants

pubmed: 32494745
doi: 10.1126/sciadv.aaz8521
pii: aaz8521
pmc: PMC7244320
doi:

Types de publication

Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Langues

eng

Sous-ensembles de citation

IM

Pagination

eaaz8521

Subventions

Organisme : NIGMS NIH HHS
ID : R01 GM069668
Pays : United States
Organisme : NCI NIH HHS
ID : T32 CA079443
Pays : United States
Organisme : NHGRI NIH HHS
ID : T32 HG002295
Pays : United States
Organisme : NCI NIH HHS
ID : R00 CA207866
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA206890
Pays : United States
Organisme : NCI NIH HHS
ID : R00 CA207744
Pays : United States
Organisme : NCI NIH HHS
ID : R01 CA096504
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA217377
Pays : United States
Organisme : NCI NIH HHS
ID : U01 CA206997
Pays : United States
Organisme : NCI NIH HHS
ID : U54 CA112967
Pays : United States

Informations de copyright

Copyright © 2020 The Authors, some rights reserved; exclusive licensee American Association for the Advancement of Science. No claim to original U.S. Government Works. Distributed under a Creative Commons Attribution NonCommercial License 4.0 (CC BY-NC).

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Auteurs

Stephanie J Wang (SJ)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.
Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.

Ran Li (R)

Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.

Thomas S C Ng (TSC)

Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.

Gaurav Luthria (G)

Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.
Department of Biomedical Informatics, Harvard Medical School, Boston, MA, USA.

Madeleine J Oudin (MJ)

Department of Biomedical Engineering, Tufts University, Medford, MA, USA.

Mark Prytyskach (M)

Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.

Rainer H Kohler (RH)

Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.

Ralph Weissleder (R)

Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.
Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
Department of Systems Biology, Harvard Medical School, Boston, MA, USA.

Douglas A Lauffenburger (DA)

Department of Biological Engineering, Massachusetts Institute of Technology, Cambridge, MA, USA.

Miles A Miller (MA)

Center for Systems Biology, Massachusetts General Hospital Research Institute, Boston, MA, USA.
Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.

Classifications MeSH