ReviewFrontiers in immunology2025
CAR-T therapy-based innovations in the enhancement of contemporary anti-tumor therapies.
Review in Frontiers in immunology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 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
9 citing papers in PubMed.
- Investigating the role of costimulatory domains in enhancing CAR-T cell persistence in TNBC.Cancer gene therapy · 2026Review
- Review
- Review
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- In vivo CAR-T therapy: from molecular design to precision delivery.Journal of nanobiotechnology · 2026Review
- Antibody-dependent cellular phagocytosis in cancer immunotherapy: research and perspectives.Journal of translational medicine · 2026Review
- Advances and challenges of chimeric antigen receptor T cell therapy in digestive system malignancies.World journal of clinical oncology · 2026Review
- Targeting Macrophages in Immunotherapy: The Ascent of CAR-Macrophages.International journal of molecular sciences · 2026Review
- Advances in adoptive cell therapy for ovarian cancer.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
3 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Chimeric antigen receptor T (CAR-T) cell therapy has revolutionized the treatment landscape for hematologic malignancies; however, its efficacy in solid tumors remains limited due to antigen heterogeneity, a suppressive tumor microenvironment, and tumor-intrinsic resistance mechanisms. In parallel, immune checkpoint blockade (ICB) therapies have achieved clinical milestones but often fail due to impaired antigen presentation, interferon signaling dysregulation, and immune exclusion. Recent advances in CAR-T therapy-based technologies including multi-specific and armored CAR constructs, gene-editing strategies, and synthetic circuits offer new opportunities to overcome these barriers and expand therapeutic efficacy. Artificial intelligence (AI) has further accelerated the discovery of novel tumor antigens, optimized CAR design, and enabled real-time modeling of treatment responses. Integration of CAR-T therapy with AI-driven platforms, metabolic reprogramming, bispecific antibodies, and advanced single-cell analytics represents a powerful strategy to enhance tumor targeting and durability of response. This review summarizes emerging CAR-T therapy-based innovations, explores their synergistic applications with immunotherapies, and discusses current challenges related to safety, manufacturing, cost, and biomarker validation. These multidisciplinary efforts collectively pave the way toward more effective and personalized cancer treatment.
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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.