ReviewTranslational cancer research2026
A narrative review of barrier-matched engineering of macrophages for solid tumor immunotherapy: design logic, translational barriers and clinical outlook.
Review in Translational cancer research, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background and Objective: Macrophages are being investigated as adoptive cell therapies for solid tumors because they can migrate into tissues, phagocytose tumor cells, present antigen, secrete cytokines, and interact with stromal and other myeloid cells. However, their plasticity is also a liability. Once transferred into solid tumors, macrophages are exposed to hypoxia, metabolic stress, suppressive cytokines, and tumor-derived signals that may reduce phagocytosis, dampen inflammatory activation, and redirect them toward tumor-associated macrophage (TAM)-like, tumor-supportive phenotypes. This review examines engineered macrophage therapy through a barrier-matched framework. Methods: PubMed, Web of Science, Scopus, and ClinicalTrials.gov were initially searched from database inception to 24 December 2024, with a supplementary search update conducted through 21 July 2026. Search terms covered engineered macrophages, chimeric antigen receptor macrophages (CAR-M), solid tumors, the tumor microenvironment, phagocytosis checkpoints, macrophage backpacks, nanoparticle macrophages, and stem-cell-derived macrophages. Peer-reviewed original studies, clinical trial reports, high-quality reviews, and registered trials directly relevant to macrophage- or myeloid-cell-based cancer immunotherapy were selected. No formal risk-of-bias assessment or meta-analysis was performed. Key Content and Findings: Solid tumors impose five interacting barrier layers on macrophage therapy: physical barriers, metabolic barriers, immunosuppressive barriers, anti-phagocytic barriers, and phenotypic-plasticity barriers. These include restricted infiltration through dense extracellular matrix and abnormal vasculature, hypoxia, lactate accumulation, extracellular adenosine (eAdo)-A2A receptor (A2AR) signaling, suppressive tumor microenvironmental cues, do-not-eat-me checkpoints such as CD47-SIRPα, and TAM-like reprogramming after transfer. Engineering strategies have therefore shifted from simple cell transfer toward barrier-matched design. Some approaches add tumor-directed recognition, as in CAR-M or ligand-modified macrophages. Others aim to preserve inflammatory or phagocytic activity, deliver local payloads, attenuate inhibitory signaling, define scalable cell sources, or improve release and safety testing. The evidence base remains uneven. CAR-M has entered early clinical testing, whereas many nanoparticle-armed, backpack-based, stimulus-responsive, and genome-edited systems remain largely preclinical. Conclusions: Engineered macrophage therapy should be guided by the dominant barrier layer in a given solid tumor setting rather than by the number of modifications added to the cell product. Future development requires clearer links between engineering modules, barrier-adapted translational readouts, manufacturing feasibility, persistence, safety, and rational trial design.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.