ReviewExperimental hematology & oncology2024
CRISPR/Cas9 technology for advancements in cancer immunotherapy: from uncovering regulatory mechanisms to therapeutic applications.
Review in Experimental hematology & oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers, 1 of them a synthesis that pooled it.
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
33 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Laryngeal squamous cell carcinoma: a functional "two-hit" model of papillomavirus-Epstein-Barr virus synergistic carcinogenesis.Frontiers in cellular and infection microbiology · 2026Pooled it
- CRISPR-Cas9 in Cancer Therapy: Overcoming Delivery Barriers and Off-Target Effects for Clinical Translation.Health science reports · 2026Article
- Review
- Patient-Derived Organoid-Based CRISPR Screens in Cancer Research: Applications, Advances, and Challenges.Cancer medicine · 2026Review
- Inducible CRISPR/Cas systems in precision oncology: Current applications and future perspectives.Clinical and translational medicine · 2026Review
- Construction of a novel signature based on CRISPR-Cas9 screening for prognostic prediction in breast cancer.BMC cancer · 2026Article
- CRISPR/Cas9 in perspective: evaluating efficacy, delivery methods, and ethical challenges in genome editing.Molecular biology reports · 2026Review
- Innovative approaches in the treatment of hematologic malignancies: the role of CRISPR-engineered microbiomes along the gut-immune axis in immunotherapy development.Cancer cell international · 2026Review
- Effects of CRISPR-Cas9-mediated CEP55 gene knockout on immune evasion mechanisms of liver cancer cells.Scientific reports · 2026Article
- Emerging CRISPR Approaches for Countering Immune Evasion: Insight from Recent Studies.International journal of molecular sciences · 2026Review
- Oncolytic Viruses in Cancer Immunotherapy: From Molecular Engineering to Clinical Translation.Cells · 2026Review
- Applying biotechnology to overcome cancer drug resistance and improve public health outcomes.Osong public health and research perspectives · 2026Article
- Bacterial contributions to cancer development: mechanisms, dysbiosis, and cross-cancer associations.Infectious agents and cancer · 2026Review
- Neurogenesis and Neuroinflammation in Dialogue: Mapping Gaps, Modulating Microglia, Rewiring Aging.Cells · 2026Review
- Clinical translation of CRISPR-Cas9 therapeutics in cancer and inherited genetic disorders.Frontiers in genome editing · 2026Review
- Skeletal muscle dysfunction induced by cancer immunotherapy: mechanistics insights and surgical implications.Frontiers in immunology · 2026Review
- Genomic innovations in cancer prevention, diagnosis, prognosis and precision therapeutics.Frontiers in genetics · 2026Review
- Adoptive cell therapies in solid tumors: current clinical landscape, challenges, and future directions.Frontiers in immunology · 2026Review
- Targeting epigenetic regulators: In-silico discovery of natural inhibitors against histone demethylase KDM4C.PloS one · 2026Article
- BCG Immunotherapy in Equine Sarcoid Treatment: Mechanisms, Clinical Efficacy, and Challenges in Veterinary Oncology.Viruses · 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
5 authors.
Funding
Abstract
In recent years, immunotherapy has developed rapidly as a new field of tumour therapy. However, the efficacy of tumour immunotherapy is not satisfactory due to the immune evasion mechanism of tumour cells, induction of immunosuppressive tumour microenvironment (TME), and reduction of antigen delivery, etc. CRISPR/Cas9 gene editing technology can accurately modify immune and tumour cells in tumours, and improve the efficacy of immunotherapy by targeting immune checkpoint molecules and immune regulatory genes, which has led to the great development and application. In current clinical trials, there are still many obstacles to the application of CRISPR/Cas9 in tumour immunotherapy, such as ensuring the accuracy and safety of gene editing, overcoming overreactive immune responses, and solving the challenges of in vivo drug delivery. Here we provide a systematic review on the application of CRISPR/Cas9 in tumour therapy to address the above existing problems. We focus on CRISPR/Cas9 screening and identification of immunomodulatory genes, targeting of immune checkpoint molecules, manipulation of immunomodulators, enhancement of tumour-specific antigen presentation and modulation of immune cell function. Second, we also highlight preclinical studies of CRISPR/Cas9 in animal models and various delivery systems, and evaluate the efficacy and safety of CRISPR/Cas9 technology in tumour immunotherapy. Finally, potential synergistic approaches for combining CRISPR/Cas9 knockdown with other immunotherapies are presented. This study underscores the transformative potential of CRISPR/Cas9 to reshape the landscape of tumour immunotherapy and provide insights into novel therapeutic strategies for cancer patients.
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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.