ReviewFrontiers in immunology2024
Newer generations of multi-target CAR and STAb-T immunotherapeutics: NEXT CART Consortium as a cooperative effort to overcome current limitations.
Review in Frontiers in immunology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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.
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Who cites it
8 citing papers in PubMed.
- Directions of Immunotherapy for Non-Small-Cell Lung Cancer Treatment: Past, Present and Possible Future.International journal of molecular sciences · 2025Review
- Engineered exosomes: a promising approach for overcoming challenges in pancreatic cancer therapy.Journal of nanobiotechnology · 2025Review
- Facts and Hopes: CAR T-Cell Therapy and Immune Contexture in Non-Hodgkin Lymphoma.Clinical cancer research : an official journal of the American Association for Cancer Research · 2025Review
- Emerging CAR immunotherapies: broadening therapeutic horizons beyond cancer.Clinical and experimental medicine · 2025Review
- Tumor-Agnostic Therapies in Practice: Challenges, Innovations, and Future Perspectives.Cancers · 2025Review
- Tandem CAR-T cell therapy: recent advances and current challenges.Frontiers in immunology · 2025Review
- CAR-T cell therapy in brain malignancies: obstacles in the face of cellular trafficking and persistence.Frontiers in immunology · 2025Review
- CAR T-cell therapy for systemic lupus erythematosus: current status and future perspectives.Frontiers in immunology · 2024Review
Corrections and comments
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Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Adoptive T cellular immunotherapies have emerged as relevant approaches for treating cancer patients who have relapsed or become refractory (R/R) to traditional cancer treatments. Chimeric antigen receptor (CAR) T-cell therapy has improved survival in various hematological malignancies. However, significant limitations still impede the widespread adoption of these therapies in most cancers. To advance in this field, six research groups have created the "NEXT Generation CART MAD Consortium" (NEXT CART) in Madrid's Community, which aims to develop novel cell-based immunotherapies for R/R and poor prognosis cancers. At NEXT CART, various basic and translational research groups and hospitals in Madrid concur to share and synergize their basic expertise in immunotherapy, gene therapy, and immunological synapse, and clinical expertise in pediatric and adult oncology. NEXT CART goal is to develop new cell engineering approaches and treatments for R/R adult and pediatric neoplasms to evaluate in multicenter clinical trials. Here, we discuss the current limitations of T cell-based therapies and introduce our perspective on future developments. Advancement opportunities include developing allogeneic products, optimizing CAR signaling domains, combining cellular immunotherapies, multi-targeting strategies, and improving tumor-infiltrating lymphocytes (TILs)/T cell receptor (TCR) therapy. Furthermore, basic studies aim to identify novel tumor targets, tumor molecules in the tumor microenvironment that impact CAR efficacy, and strategies to enhance the efficiency of the immunological synapse between immune and tumor cells. Our perspective of current cellular immunotherapy underscores the potential of these treatments while acknowledging the existing hurdles that demand innovative solutions to develop their potential for cancer treatment fully.
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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.