Evidence map›Paper›PMID 41711594›Full record

ArticleJournal of extracellular vesicles2026

M1 Macrophage-Derived Small Extracellular Vesicles as Synergistic Nanotherapeutics: Harnessing Intrinsic Anticancer Activity and Drug Delivery Capacity.

Gaeun Kim, Hyunsu Jeon, Adrian Chao, James Johnston, Runyao Zhu, Courtney Khong, Yichen Liu, Minzhi Liang, Xin Lu, Yichun Wang

Abstract read
In one paragraph

Article in Journal of extracellular vesicles, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

10 authors.

Gaeun KimDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana, USA.ORCID https://orcid.org/0009-0008-1502-1847
Hyunsu JeonDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana, USA.ORCID https://orcid.org/0000-0001-8546-301X
Adrian ChaoDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
James JohnstonDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana, USA.
Runyao ZhuDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana, USA.ORCID https://orcid.org/0009-0005-5109-0020
Courtney KhongDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana, USA.
Yichen LiuDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana, USA.
Minzhi LiangDepartment of Biological Sciences, University of Notre Dame, Notre Dame, Indiana, USA.
Xin LuHarper Cancer Research Institute, University of Notre Dame, Notre Dame, Indiana, USA.
Yichun WangDepartment of Chemical and Biomolecular Engineering, University of Notre Dame, Notre Dame, Indiana, USA.ORCID https://orcid.org/0000-0002-4353-6660

Funding

Converting Cold to Hot Tumor Microenvironment in Prostate Cancer by Targeting Chromatin EffectorR01CA248033 · NCI · UNIVERSITY OF NOTRE DAME · PI LU, XIN · 2020 to 2024
$1.8M
A Convergent Bioengineered Platform for Multifunctional Therapeutic ExosomesR35GM150608 · NIGMS · UNIVERSITY OF NOTRE DAME · PI Yichun Wang · 2023 to 2026
$1.5M
Immunosuppression and Metabolic Rewiring in Tumor-infiltrating NeutrophilsR01CA280097 · NCI · UNIVERSITY OF NOTRE DAME · PI Xin Lu · 2023 to 2026
$1.4M
Developing isoform-selective Hsp90 inhibitors for monotherapy and enhanced immunotherapy against lethal prostate cancerR01CA297220 · NCI · UNIVERSITY OF NOTRE DAME · PI Brian S J Blagg, Xin Lu · 2025 to 2026
$1.1M
National Science Foundation CBET-2337387NCI NIH HHS R01 CA248033NCI NIH HHS R01 CA280097NCI NIH HHS R01 CA297220NIGMS NIH HHS R35 GM150608NIH HHS R35GM150608
6 · The paper itself

Abstract

Small extracellular vesicles (sEVs) have emerged as next-generation multifunctional nanotherapeutics due to their parental-cell traits and role in intercellular communication. Among them, immune cell-derived sEVs are uniquely positioned to couple innate immunomodulatory activities with therapeutic payload delivery, making them highly attractive for cancer therapy. In particular, M1 macrophage-derived sEVs (M1-sEVs) preserve the tumour-suppressive functions of their parent cells, including tumour microenvironment (TME) reprogramming, immune activation, and inhibition of cancer progression. However, the mechanisms by which these activities are coordinated within the TME, and whether they act independently or synergistically, remain poorly understood. Clarifying these mechanisms is crucial for harnessing their intrinsic bioactivity in combination with their natural capacity as drug delivery nanocarriers to optimize therapeutic efficacy. Here, we demonstrate that M1-sEVs exhibit intrinsic stability and circulation longevity via 'do not eat me' ligands, as well as tumour-homing ability revealed by proteomic profiling, enabling efficient uptake and deep infiltration in breast cancer models. Functionally, M1-sEVs deliver antiproliferative microRNAs that suppress tumour metabolism, growth, and progression by inhibiting self-renewal, adhesion, migration, motility, and invasion. Importantly, by integrating this endogenous bioactivity with exogenous doxorubicin loading, we achieved synergistic efficacy: a 3-fold reduction in IC

Indexed as

Antineoplastic AgentsBreast NeoplasmsDrug Delivery SystemsExtracellular VesiclesMacrophagesAnimalsCell Line, TumorDoxorubicinFemaleHumansMiceMicroRNAsNanomedicineNanoparticlesTumor MicroenvironmentAntineoplastic AgentsDoxorubicinMicroRNAsanti‐cancercirculation longevitylipid nanoparticlesmacrophagenanomedicine

Identifiers

PMID41711594
PMCPMC12919367

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.