ReviewMolecular cancer2026
Ecosystem-matched reprogramming of the tumor-immune microenvironment to overcome cancer immunotherapy resistance.
Review in Molecular cancer, 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
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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.
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Authors and funding
7 authors.
Funding
Abstract
Immune checkpoint blockade has redefined cancer therapy, yet durable responses remain constrained by resistance states that arise from coordinated tumor-cell, immune, stromal, vascular, lymphatic, and metabolic programs rather than from a single defective pathway. This review develops a translational framework in which tumor-intrinsic immune invisibility, myeloid and regulatory lymphocyte suppression, defective dendritic-cell priming, stromal and vascular exclusion, lymphatic control of antigen drainage, metabolic stress, and ILC2/type 2 immune plasticity are interpreted as interdependent ecosystem states. We discuss therapeutic strategies that reprogram these states, including myeloid and Treg modulation, stromal and vascular remodeling, preservation or restoration of productive lymphatic communication, cytokine and metabolic interventions, alternative checkpoint blockade, oncolytic viruses, vaccines, engineered cell therapies, and nanomedicine-enabled local delivery. Emphasis is placed on the lessons of failed or modestly effective trials, which show that biologically plausible interventions often fail when the dominant resistance bottleneck is not defined, tissue target engagement is not verified, or treatment sequence is not matched to the immune architecture of the tumor. We propose that future progress will depend on ecosystem-matched combinations guided by spatial biomarkers, on-treatment pharmacodynamics, and adaptive trial designs capable of linking mechanism to clinical decision-making.
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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.