ReviewMedComm2026
Turning Cold Tumors Into Hot Tumors: 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
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
The prevailing view of cold tumors as a singular immune-insensitive state is not merely imprecise, which is clinically misleading. Currently, we contend that cold tumors comprise a heterogeneous spectrum of resistance ecosystems by distinct, coexisting, dominant barriers. We argue that a universal "heating" strategy is unlikely to succeed; instead, durable clinical benefit will depend on barrier-directed immune reprogramming. We dissect this heterogeneity by linking a set of core mechanistic drivers to canonical hot, immune‑desert, and immune-excluded phenotypes. The drivers include defective antigen processing and presentation, impaired T-cell priming, physical exclusion by aberrant vasculature, stromal components, metabolic exhaustion, and adaptive resistance. Our evaluation of emerging conversion strategies focuses not on their novelty but on capacity to neutralize a specific rate-limiting barrier. We also examine why combination and sequencing are indispensable, highlight translational gaps between preclinical models and human disease and propose a dynamic biomarker framework that extends beyond static PD-L1 assessment to capture real-time shifts in dominant barrier. Our central conclusion is that durable cold-to-hot conversion will require iterative, biomarker-guided and barrier-adaptive interventions that evolve alongside tumor counter-adaptation. The reframing positions immunotherapy resistance not as a terminal obstacle but as a manageable, dynamic challenge, offering a practical strategy for clinical translation.
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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 Socratic graph.