ReviewFrontiers in immunology2022
Emerging Strategies in TCR-Engineered T Cells.
Review in Frontiers in immunology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 42 papers, 1 of them a synthesis that pooled it.
What it found
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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
42 citing papers in PubMed, 1 synthesis or guideline pooled it, 48 citations in OpenAlex.
- Advancements in immunotherapy for oropharyngeal cancer: Current landscape and future prospects.Biomedical papers of the Medical Faculty of the University Palacky, Olomouc, Czechoslovakia · 2026Pooled it
- Cellular immunotherapy in melanoma: the next frontier in cancer treatment.Journal of experimental & clinical cancer research : CR · 2026Review
- Engineering a Second Interchain Disulfide Bond in the αβ T-Cell Receptor Constant Domain: A Powerful Strategy to Enhance Stability, Pairing Fidelity, and Therapeutic Efficacy in TCR-T Cell Therapy.Pharmaceuticals (Basel, Switzerland) · 2026Review
- Nonviral Gold Nanoparticle-Mediated Delivery of CRISPR-Cas9 Ribonucleoprotein and Long DNA Transgenes Into Primary Blood Cells.Advanced nanobiomed research · 2026Article
- Overcoming T cell tolerance to tumor self-antigens through catch-bond engineering.Science (New York, N.Y.) · 2026Article
- Adoptive T Cell therapy for cancer and autoimmune disease: current advances, challenges, and future directions.Oncology reviews · 2026Article
- Targeting the synovial engine: next-generation engineered immune cells to eradicate pathogenic FLS in rheumatoid arthritis, with safety-first, selective designs.Frontiers in immunology · 2026Review
- Beyond the Th2 paradigm: CD4+ cytotoxic T lymphocytes as key drivers of tissue damage and fibrosis in IgG4-related disease.Frontiers in immunology · 2026Review
- Safety-first TCR-T: AI-guided specificity, base-editing to prevent mispairing, and prioritizing public neoantigens.Frontiers in immunology · 2026Article
- Allogeneic NKG2D CAR-T Cell Therapy: A Promising Approach for Treating Solid Tumors.Biomedicines · 2025Review
- Overcoming Immune Barriers in Allogeneic CAR-NK Therapy: From Multiplex Gene Editing to AI-Driven Precision Design.Biomolecules · 2025Review
- Epigenetic regulators combined with tumour immunotherapy: current status and perspectives.Clinical epigenetics · 2025Review
- Personalized, autologous neoantigen-specific T cell therapy in metastatic melanoma: a phase 1 trial.Nature medicine · 2025Article
- Advanced Immunomodulatory Biomaterials for Therapeutic Applications.Advanced healthcare materials · 2025Review
- Chimeric switch and inverted cytokine receptors in T cell therapy: reprogramming T cells to overcome immune suppression in the solid tumor microenvironment.Frontiers in immunology · 2025Review
- Neoantigen-based immunotherapy: advancing precision medicine in cancer and glioblastoma treatment through discovery and innovation.Exploration of targeted anti-tumor therapy · 2025Review
- Engaging T cells for cleanup.Frontiers in immunology · 2025Review
- Targeting Precision in Cancer Immunotherapy: Naturally-Occurring Antigen-Specific TCR Discovery with Single-Cell Sequencing.Cancers · 2024Article
- HDAC6 Inhibition Releases HR23B to Activate Proteasomes, Expand the Tumor Immunopeptidome and Amplify T-cell Antimyeloma Activity.Cancer research communications · 2024Article
- Enhanced cellular therapy: revolutionizing adoptive cellular therapy.Experimental hematology & oncology · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Immunotherapy of cancer has made tremendous progress in recent years, as demonstrated by the remarkable clinical responses obtained from adoptive cell transfer (ACT) of patient-derived tumor infiltrating lymphocytes, chimeric antigen receptor (CAR)-modified T cells (CAR-T) and T cell receptor (TCR)-engineered T cells (TCR-T). TCR-T uses specific TCRS optimized for tumor engagement and can recognize epitopes derived from both cell-surface and intracellular targets, including tumor-associated antigens, cancer germline antigens, viral oncoproteins, and tumor-specific neoantigens (neoAgs) that are largely sequestered in the cytoplasm and nucleus of tumor cells. Moreover, as TCRS are naturally developed for sensitive antigen detection, they are able to recognize epitopes at far lower concentrations than required for CAR-T activation. Therefore, TCR-T holds great promise for the treatment of human cancers. In this focused review, we summarize basic, translational, and clinical insights into the challenges and opportunities of TCR-T. We review emerging strategies used in current ACT, point out limitations, and propose possible solutions. We highlight the importance of targeting tumor-specific neoAgs and outline a strategy of combining neoAg vaccines, checkpoint blockade therapy, and adoptive transfer of neoAg-specific TCR-T to produce a truly tumor-specific therapy, which is able to penetrate into solid tumors and resist the immunosuppressive tumor microenvironment. We believe such a combination approach should lead to a significant improvement in cancer immunotherapies, especially for solid tumors, and may provide a general strategy for the eradication of multiple cancers.
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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 OpenQuestion graph.