ReviewEBioMedicine2026
Engineering clinically actionable nanomedicine for cancer immunometabolic ecosystem reprogramming.
Review in EBioMedicine, 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Traditional metabolic inhibitors have limited clinical efficacy, with issues such as narrow window periods, and compensatory effects. These barriers indicate that effective metabolic therapy requires spatially restricted, temporally coordinated, cell-context-aware, and clinically stratifiable intervention. This review examines how glucose-lactate, lipid-redox, amino acid-immune checkpoint, and nucleotide-adenosine circuits drive tumour progression, immune suppression, and therapeutic escape. We then define the engineering advantages that distinguish nanomedicine from free metabolic drugs, including spatiotemporal control, smart and responsive release, multi-target co-delivery, and organelle targeting. Representative nanomedicine strategies are discussed according to the immunometabolic circuits they modulate, with emphasis on their ability to overcome metabolic compensation, restore immune cell function, and address tumour heterogeneity. Finally, we evaluate key translational challenges, including chemistry, manufacturing and control (CMC), regulatory obstacles, and biomarker selection. This review proposes clinically actionable design principles of nanomedicine for immunometabolic reprogramming.
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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.