Back

CAR-Engineered Human Hematopoietic Stem Cell Macrophages Control Solid Tumors

Ramos, R. N.

2026-05-28 immunology
10.64898/2026.05.27.725267 bioRxiv
Show abstract

Chimeric antigen receptor (CAR) T-cells have represented a groundbreaking advance in the control of hematological cancers. However, their efficacy in controlling solid tumors has been rather limited, highlighting the importance of new cell-based therapies strategies to curb the progression of solid cancers. Here, we generated functional macrophages from human umbilical cord blood derived CD34+ hematopoietic stem cells (HSCs) engineered to express CARs. Approximately 50% of the CAR-MacCD34 population expressed anti-HER2 CARs and maintained high viability throughout differentiation. Mass spectrometry (MS) and multiparametric flow cytometry analysis revealed upregulation of proteins associated with phagocytosis, matrix remodeling, and degradation, indicating enhanced tumor infiltration potential. In vitro, CAR-MacCD34 exhibited a significantly higher capacity to phagocytose HER2-positive tumor cells compared to untransduced MacCD34 cells. Additionally, CAR-MacCD34 cells that phagocytosed cancer cells showed increased nuclear translocation of NF-kB, suggesting CAR-mediated intracellular signaling. To assess functionality in a more physiologically relevant context, we used tumor spheroids embedded in a dense 3D collagen matrix. Confocal microscopy and live imaging revealed that CAR-MacCD34 cells exhibited superior infiltration of dense tumor spheroids compared to untransduced MacCD34 cells. Notably, we observed multiple instances of tumor cell phagocytosis by CAR-MacCD34 cells in this 3D model. In addition, we employed in vivo zebrafish larvae models of HER2-positive tumors. We noted that CAR-MacCD34 cells persisted for over 8 days post-injection and demonstrated significantly greater efficacy in controlling tumor growth compared to untransduced MacCD34 cells. Our findings introduce a novel CAR-macrophage therapeutic approach with promising clinical potential, leveraging a renewable and accessible cellular source. Optimizing CAR-MacCD34 functionality in combination with existing therapies may lead to durable and effective anti-tumor responses for patients with solid tumors.

Matching journals

The top 16 journals account for 50% of the predicted probability mass.

1
Theranostics
33 papers in training set
Top 0.1%
10.5%
2
Nature Communications
4913 papers in training set
Top 26%
7.1%
3
Blood Advances
54 papers in training set
Top 0.3%
4.5%
4
Advanced Functional Materials
41 papers in training set
Top 0.7%
3.8%
5
Cell Reports Medicine
140 papers in training set
Top 1%
3.7%
6
iScience
1063 papers in training set
Top 8%
2.4%
7
Cancer Immunology Research
34 papers in training set
Top 0.2%
2.2%
8
Molecular Therapy
71 papers in training set
Top 1%
2.2%
9
Scientific Reports
3102 papers in training set
Top 48%
2.2%
10
Journal of Controlled Release
39 papers in training set
Top 0.5%
2.0%
11
EMBO Molecular Medicine
85 papers in training set
Top 2%
1.8%
12
Frontiers in Immunology
586 papers in training set
Top 4%
1.8%
13
Biomaterials
78 papers in training set
Top 0.5%
1.8%
14
Advanced Science
249 papers in training set
Top 12%
1.5%
15
Nature Biotechnology
147 papers in training set
Top 5%
1.5%
16
PLOS ONE
4510 papers in training set
Top 57%
1.4%
50% of probability mass above
17
OncoImmunology
22 papers in training set
Top 0.2%
1.3%
18
Cancers
200 papers in training set
Top 4%
1.1%
19
Journal for ImmunoTherapy of Cancer
64 papers in training set
Top 0.8%
1.1%
20
Cancer Letters
32 papers in training set
Top 0.5%
1.0%
21
Integrative Biology
13 papers in training set
Top 0.1%
0.9%
22
eLife
5422 papers in training set
Top 52%
0.9%
23
Frontiers in Oncology
95 papers in training set
Top 3%
0.9%
24
Science Advances
1098 papers in training set
Top 26%
0.9%
25
Frontiers in Cell and Developmental Biology
218 papers in training set
Top 8%
0.8%
26
Journal of Extracellular Vesicles
50 papers in training set
Top 0.3%
0.8%
27
European Journal of Immunology
57 papers in training set
Top 0.5%
0.8%
28
Clinical and Translational Science
21 papers in training set
Top 0.9%
0.8%
29
International Journal of Radiation Oncology*Biology*Physics
21 papers in training set
Top 0.4%
0.8%
30
Cancer Research Communications
46 papers in training set
Top 1.0%
0.8%