ReviewPharmaceutics2024
CRISPR/Cas9-Mediated Customizing Strategies for Adoptive T-Cell Therapy.
Review in Pharmaceutics, 2024. 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, 9 citations in OpenAlex.
- Emerging CRISPR Approaches for Countering Immune Evasion: Insight from Recent Studies.International journal of molecular sciences · 2026Review
- From Immunobiology to Clinical Application: Tumor-Infiltrating Lymphocytes in Melanoma.Journal of personalized medicine · 2026Review
- Advances in Biomarkers for CAR-T Treatment Resistance in Diffuse Large B-Cell Lymphoma.Mini reviews in medicinal chemistry · 2026Review
- CRISPR Technology: Transforming the Future of Medicine and Diagnostics.Biochemistry · 2025Review
- CRISPR Technology in Disease Management: An Updated Review of Clinical Translation and Therapeutic Potential.Cell proliferation · 2025Article
- Advancing gene editing therapeutics: Clinical trials and innovative delivery systems across diverse diseases.Molecular therapy. Nucleic acids · 2025Review
- T cells in cancer: mechanistic insights and therapeutic advances.Biomarker research · 2025Review
- Pluripotent Stem Cells: Recent Advances and Emerging Trends.Biomedicines · 2025Article
- Genetic engineering frontiers in cell manipulation-based tissue engineering: A comprehensive review.BioImpacts : BI · 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
3 authors at 2 institutions in 1 country.
Funding
Abstract
Clustered regularly interspaced short palindromic repeat-associated protein Cas9 (CRISPR/Cas9) technology is at the forefront of cancer immunotherapy innovation, offering precise and personalized treatment strategies. In this review, we discuss CRISPR/Cas9's ability to precisely edit the genome, its impact on immune checkpoint control, and its application in immune cell engineering, where it surpasses traditional gene editing techniques. Originally inspired by bacterial defense mechanisms, this technology has made great strides in cancer immunotherapy as a mechanism to specifically target the PD-1/PD-L1 pathway in immune checkpoint blockades. In addition, CRISPR/Cas9 plays an important role in cancer treatment by facilitating genetic modifications to enhance the properties of adoptive cell therapy, optimizing the therapeutic potential of this approach. This review provides an overview of the development of CRISPR/Cas9, its important role in immune checkpoint control, applications in immune cell engineering, and the current status of clinical trials. However, safety concerns related to off-target effects and unintended mutations require continued research and caution. Continued advances in CRISPR technology hold the promise of revolutionizing the cancer treatment paradigm, providing personalized and effective therapies for patients with various types of cancer.
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.