ReviewBrazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica2024
CAR-T therapy for gastrointestinal cancers: current status, challenges, and future directions.
Review in Brazilian journal of medical and biological research = Revista brasileira de pesquisas medicas e biologica, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed.
- Perineural invasion in digestive tract tumors: Immune system interactions and therapeutic strategies.World journal of clinical oncology · 2026Review
- Advances and challenges of chimeric antigen receptor T cell therapy in digestive system malignancies.World journal of clinical oncology · 2026Review
- Review
- Emerging Chimeric Antigen Receptor-Immune Cell Therapy for Pancreatic Cancer: Mechanisms, Clinical Advances, and Future Perspectives.Oncology research · 2026Review
- Therapeutic Frontiers in Gastroesophageal Cancer: Contemporary Concepts in Management and Therapy.International journal of molecular sciences · 2025Review
- Chimeric antigen receptor T-cell (CAR T-cell) and tumor-infiltrating lymphocytes (TILs) therapies in gastrointestinal malignancies: review of literature for clinical applications.Medical oncology (Northwood, London, England) · 2025Review
- Nanomaterials targeting cancer stem cells to overcome drug resistance and tumor recurrence.Frontiers in oncology · 2025Review
- Dual regulation of gastrointestinal tumor progression by the IFN-γ/STAT1 pathway and prospects for targeted therapy.Frontiers in oncology · 2025Review
- Immunotherapy in Gastrointestinal Cancers: Current Insights.Clinical pharmacology : advances and applications · 2025Review
- Prospects of engineered bacteria-assisted CAR T Cell therapy in gastrointestinal cancers.Oncology reviews · 2025Review
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
Chimeric antigen receptor (CAR) T-cell therapy is a revolutionary immunotherapeutic strategy that has shown efficacy in hematological malignancies. However, its application in solid tumors, particularly gastrointestinal cancers, faces significant challenges. These include the selection of target antigens, the complexity of the tumor microenvironment, and safety and toxicity concerns. This review provides a current overview of CAR-T therapy in various gastrointestinal cancers, such as esophageal, gastric, colorectal, pancreatic, and liver cancers. It discusses the limitations and future directions of CAR-T therapy in this context. This review highlights innovative strategies, including novel target antigens, multispecific CAR-T cells, armored CAR-T cells, and the development of universal CAR-T cells. These insights aim to inform ongoing research and foster advancements in CAR-T therapy for gastrointestinal cancers.
Indexed as
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.