ReviewMolecular therapy oncolytics2023
Advancements in CRISPR screens for the development of cancer immunotherapy strategies.
Review in Molecular therapy oncolytics, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 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
10 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Preclinical Anticipation of On- and Off-Target Resistance Mechanisms to Anti-Cancer Drugs: A Systematic Review.International journal of molecular sciences · 2024Pooled it
- High-Content CRISPR Screening: Methods and Applications.MedComm · 2026Review
- Patient-Derived Organoid-Based CRISPR Screens in Cancer Research: Applications, Advances, and Challenges.Cancer medicine · 2026Review
- A functional single-cell metabolic survey identifies Elovl1 as a target to enhance CD8Nature metabolism · 2025Article
- Anionic polymer coating for enhanced delivery of Cas9 mRNA and sgRNA nanoplexes.Biomaterials science · 2025Article
- Immunometabolic editing of the tumor microenvironment: from reprogramming mechanisms to therapeutic vulnerabilities.Frontiers in immunology · 2025Review
- Overcoming Resistance Mechanisms to Melanoma Immunotherapy.American journal of clinical dermatology · 2025Review
- Transforming cancer treatment: integrating patient-derived organoids and CRISPR screening for precision medicine.Frontiers in pharmacology · 2025Review
- Frontiers of cytokine engineering in CAR cell therapy for cancer.Frontiers in oncology · 2025Review
- Strategies and delivery systems for cell-based therapy in autoimmunity.Frontiers in drug delivery · 2024Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
7 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
CRISPR screen technology enables systematic and scalable interrogation of gene function by using the CRISPR-Cas9 system to perturb gene expression. In the field of cancer immunotherapy, this technology has empowered the discovery of genes, biomarkers, and pathways that regulate tumor development and progression, immune reactivity, and the effectiveness of immunotherapeutic interventions. By conducting large-scale genetic screens, researchers have successfully identified novel targets to impede tumor growth, enhance anti-tumor immune responses, and surmount immunosuppression within the tumor microenvironment (TME). Here, we present an overview of CRISPR screens conducted in tumor cells for the purpose of identifying novel therapeutic targets. We also explore the application of CRISPR screens in immune cells to propel the advancement of cell-based therapies, encompassing T cells, natural killer cells, dendritic cells, and macrophages. Furthermore, we outline the crucial components necessary for the successful implementation of immune-specific CRISPR screens and explore potential directions for future research.
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.