ReviewAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2026
T Cell Exhaustion in Cancer Immunotherapy: Heterogeneity, Mechanisms, and Therapeutic Opportunities.
Review in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 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
15 citing papers in PubMed.
- Nanomedicine-based cancer immunotherapy: translational barriers, mechanistic strategies, and future perspectives.Drug delivery · 2026Review
- Transcriptomic signatures of mind-body transformations therapy in breast cancer: Downregulation of the interferon signaling pathway.Breast (Edinburgh, Scotland) · 2026Article
- NKR-P1A/CD161: A Multifunctional Immune Receptor at the Crossroads of Antitumor Immunity.Biomolecules · 2026Review
- T cell senescence and exhaustion: molecular mechanisms and immune rejuvenation for cancer immunotherapy.Signal transduction and targeted therapy · 2026Review
- CREM Marks TCR-Driven T-Cell Activation and Associates with Favorable Prognosis in Papillary Thyroid Carcinoma: A Single-Cell and Bulk Transcriptomic Study.International journal of molecular sciences · 2026Article
- Review
- From Breakthrough to Access: How Biotechnology and Artificial Intelligence are Reshaping the Scalability and Precision of Cancer Immunotherapy.Iranian journal of biotechnology · 2026Article
- T-Cell Exhaustion in the Tumor Microenvironment: Subcellular Dysfunction, Pan-Cancer Characteristics, and Therapeutic Interventions.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026Review
- Optimizing the Efficacy-Toxicity Paradigm in Pediatric Oncology: A Narrative Review of Immunotherapy and Survivorship Outcomes.Current oncology (Toronto, Ont.) · 2026Review
- From Neoantigens to Nanocarriers: Modern Methods and Modalities in Using Peptides for Cancer Vaccination.Biochemistry · 2026Review
- Clinical and translational progress in oncolytic virotherapy for pediatric CNS tumors.Journal of neuro-oncology · 2026Review
- Beyond exhaustion: T cell fitness for next generation of immunotherapy for hematological cancer.Frontiers in immunology · 2026Review
- Post-Translational Modifications in Cancer-Associated CD8⁺ T-Cell Exhaustion: Mechanisms and Therapeutic Opportunities.International journal of biological sciences · 2026Review
- Conquering aging-related immunosenescence and tumor immune escape.Frontiers in immunology · 2026Review
- Does immunotherapy hold great promise in endometrial cancer care?Frontiers in immunology · 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
8 authors.
Funding
Abstract
T cell exhaustion represents a pivotal mechanism of immune escape in cancer, with its inherent heterogeneity and dynamic plasticity being key determinants of the variable responses and resistance to immune checkpoint inhibitors (ICIs). This review comprehensively delineates the multifaceted heterogeneity of exhausted T (T
Indexed as
Identifiers
What 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.