ReviewCancer gene therapy2026
Advanced gene editing technologies for oncology mechanisms, applications, and clinical implementation.
Review in Cancer gene therapy, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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.
Funding
Abstract
Advanced gene editing tools have transformed oncology by facilitating precise molecular therapies aimed at the hereditary basis of cancer. This thorough study examines the mechanisms, applications, and clinical implementation of advanced genome editing technologies in cancer treatment. This review commences with the molecular principles of genome editing and DNA repair mechanisms, systematically analyzing established technologies such as Zinc Finger Nucleases, Transcription Activator-Like Effector Nucleases, and various CRISPR/Cas systems (Cas9, Cas12, Cas13), in addition to novel advancements including base editors, prime editors, and the PASTE system. Additionally, hybrid platforms such as ARCUS, MegaTALs, and modified recombinases are examined, highlighting their amalgamation with artificial intelligence, biosensors, and synthetic biology concepts. The study outlines significant applications including functional genomics, disease modeling, synthetic lethality screening, and direct therapeutic interventions, with a specific focus on CAR-T cell engineering and immune checkpoint regulation. Applications unique to various cancer types are thoroughly examined throughout lung, breast, colorectal, hematologic, liver, pancreatic, head & neck, esophageal, prostate, gastric, and brain cancers. Significant obstacles such as delivery optimization via viral and non-viral vectors, tumor-specific targeting, off-target effects, immunogenicity, and ethical issues related to germline vs somatic editing are comprehensively examined. The translational landscape is analyzed via current clinical trials, regulatory structures, and the incorporation of organoid models and patient-derived xenografts for the advancement of personalized therapies. This review highlights the transformative impact of gene editing on cancer medicine, advancing toward more accurate, effective, and personalized therapeutic approaches.
Identifiers
42624898What Socratic 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 Socratic graph.