ReviewInflammation research : official journal of the European Histamine Research Society ... [et al.]2026
Immune checkpoint molecules beyond PD-1 and CTLA-4: emerging targets in autoimmune diseases and cancer immunotherapy.
Review in Inflammation research : official journal of the European Histamine Research Society ... [et al.], 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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
3 citing papers in PubMed.
- Landscape of T-cell bispecific antibodies in cancer therapy: therapeutic strategies, challenges and future prospection.Molecular cancer · 2026Review
- Characteristics and research waste of immunotherapy randomized clinical trials: a cross-sectional analysis.Frontiers in immunology · 2026Article
- Metabolic reprogramming and immune evasion interaction in the tumor microenvironment promote tumor progression.Frontiers in oncology · 2026Review
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
backgroundImmune checkpoint molecules are pivotal regulators of immune activation and tolerance, playing critical roles in cancer, autoimmunity, infectious diseases, and transplantation. While programmed cell death protein 1 (PD-1) and cytotoxic T-lymphocyte-associated protein 4 (CTLA-4) remain the most extensively studied checkpoints, immune checkpoint receptors beyond PD-1 and CTLA-4, including LAG-3, TIM-3, TIGIT, VISTA, BTLA, CD160, and CD96 have expanded our understanding of immune regulation. These pathways not only mediate immune evasion in tumors but also contribute to impaired tolerance in autoimmune diseases. KEY
findingsRecent preclinical and clinical evidence highlights the potential of novel and next-generation checkpoint inhibitors (ICIs), either alone or in combination with established PD-1/CTLA-4 therapies, to overcome resistance in oncology. Concurrently, agonistic checkpoint modulation is being explored as a precision immunosuppressive strategy in autoimmune disorders, targeting dysregulated T-cell activation while preserving protective immunity. Key challenges remain, including heterogeneity in patient responses, immune-related adverse events (irAEs), and the need for robust biomarkers to guide personalized therapy. Advances in multi-omics profiling, artificial intelligence, and single-cell immune mapping promise to refine patient selection and optimize therapeutic regimens. Furthermore, the application of checkpoint modulation in chronic infections and transplantation underscores its broader potential beyond oncology.
conclusionsThis review comprehensively discusses the mechanistic basis, therapeutic implications, combination strategies, and future directions of immune checkpoints beyond PD-1 and CTLA-4, emphasizing biomarker development, precision medicine approaches, and balancing efficacy with safety.
Indexed as
Identifiers
41842954What Socratic 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 Socratic graph.