ReviewMedComm2026
Immune-Cell Dynamics in the Tumor Microenvironment: Implications for Cancer Therapy.
Review in MedComm, 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
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immune-cell dynamics within the tumor microenvironment (TME) determine whether immune cells can reach, recognize, and sustain antitumor function against malignant cells under suppressive pressure. These dynamics are shaped by hypoxia, nutrient stress, cytokine and chemokine signaling, stromal architecture, vascular access, and multicellular crosstalk, and are further regulated by transcriptional and epigenetic programs. In this review, we organize TME immunity around four major barriers to effective therapy: failed immune access, defective antigen visibility and priming, failure to sustain effector function, and suppressive tissue remodeling. We use FOSL2/Fra-2, a component of activator protein-1 (AP-1) transcription factor complexes, as an example of how local signals can produce distinct regulatory effects in malignant, immune, and stromal compartments. FOSL2-associated programs have been linked to differentiation, plasticity, myeloid and stromal remodeling, stress adaptation, and selected immune-regulatory processes; however, the strength and direction of these associations vary by lineage, tumor type, model system, and level of functional evidence. We distinguish perturbation-supported mechanisms from correlative state signatures and identify the need for spatial validation, functional perturbation, and biomarker validation. This perspective supports biomarker-guided TME-directed therapy matched to the dominant immune barrier.
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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.