ArticleScience advances2026
Latent effector capacity governs reversible T cell exhaustion: A theoretical mathematical model of PD-1 blockade response.
Article in Science advances, 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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
T cell exhaustion is often viewed as a terminal state marked by irreversible loss of function during chronic infection and cancer. However, the rapid recovery of antitumor activity in clinical responders after PD-1 blockade suggests that some exhausted T cells retain hidden functional potential. To explain this paradox, we present a theoretical framework that separates latent effector capacity from active effector function. Latent effector capacity represents a history-dependent state reflecting preserved epigenetic accessibility and regulatory readiness, distinct from ongoing gene expression. In this model, PD-1 signaling acts as a reversible mask that suppresses effector function without eliminating the underlying effector capacity. The framework explains preserved chromatin accessibility, rapid reinvigoration after checkpoint blockade, and variable therapeutic responses. By incorporating nonlinear maintenance and erosion of latent effector capacity, the model predicts a bistable system with a point of no return beyond which exhaustion becomes irreversible. These principles may guide development of mechanistically informed biomarkers and artificial intelligence models predicting response to PD-1 therapy.
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.