Evidence map›Paper›PMID 42787587›Full record

ReviewFrontiers in immunology2026

Harnessing tumor immune checkpoints for autoimmune disease therapeutics.

Hanmei Yang, Ping Zhang, Yi Wu, Na Xie, Guobo Shen

Abstract readReview
In one paragraph

Review in Frontiers in immunology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors.

Hanmei Yang *Department of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital and West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Ping Zhang *Department of Oncology, Chengdu Integrated TCM & Western Medicine Hospital, Chengdu, China.
Yi WuDepartment of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital and West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Na XieDepartment of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital and West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.
Guobo ShenDepartment of Biotherapy, Cancer Center and State Key Laboratory of Biotherapy, West China Hospital and West China School of Basic Medical Sciences and Forensic Medicine, Sichuan University, Chengdu, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Immune checkpoint (IC) pathways, originally identified in T-cell exhaustion in cancer, are increasingly recognized as key modulators of immune tolerance in autoimmune diseases (ADs). In ADs, these molecules function more accurately as inhibitory receptors (IRs) that fine-tune, rather than inducing classical exhaustion phenotypes, autoreactive immune cells. Unlike oncology, where checkpoint blockade enhances immunity, AD therapy aims to restore tolerance through IC agonism or immune reset approaches (e.g., CAR-T cells). This review synthesizes recent advances in targeting CTLA-4, PD-1, LAG-3, TIM-3, and TIGIT. Clinical success with CTLA-4-Ig (abatacept) and emerging efficacy of PD-1 agonists (e.g., peresolimab) provide proof-of-concept that augmenting inhibitory signaling can ameliorate autoimmunity. However, outcomes remain context-dependent, reflecting interplay between effector and regulatory subsets and tissue-specific environments. Mechanistic challenges, including multivalent receptor engagement, ligand complexity, and signaling heterogeneity (e.g., ITIM/ITSM phosphorylation), limit current approaches. Insights from immune-related adverse events (irAEs) highlight shared pathways of dysregulation and inform risk-benefit considerations. A major translational gap persists between acute transplant models and chronic autoimmunity, and validated predictive biomarkers are lacking. Beyond T cells, B cells, dendritic cells, and innate populations expand therapeutic opportunities. Future progress will require multi-omics profiling, biomarker-driven stratification, and next-generation agonist design. IC-targeted strategies hold promises but demand context-aware, mechanistically informed development for broad clinical impact in ADs.

Indexed as

Autoimmune DiseasesImmune Checkpoint InhibitorsImmune Checkpoint ProteinsNeoplasmsAnimalsHumansImmune ToleranceSignal TransductionT-Cell ExhaustionImmune Checkpoint InhibitorsImmune Checkpoint Proteinsautoimmune diseasesimmune checkpointsimmune toleranceimmunoregulationinhibitory receptorstargeted therapy

Identifiers

PMID42787587
PMCPMC13601908

What OpenQuestion holds

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Registered trials

None linked

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.