ReviewFunctional & integrative genomics2025
Cancer gene therapy: historical perspectives, current applications, and future directions.
Review in Functional & integrative genomics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 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
2 citing papers in PubMed.
- Breast Cancer: Epidemiology, Molecular Classification, Diagnostics and Evolving Treatment Paradigms.Molecules (Basel, Switzerland) · 2026Review
- Engineering delivery platforms for CRISPR-Cas and their applications in healthcare, agriculture and beyond.Nanoscale advances · 2026Review
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
Gene therapy has emerged as a transformative approach in cancer treatment, leveraging genetic modifications to target malignancies with enhanced precision. Early efforts faced challenges such as inefficient vector delivery (< 5% tumor transduction rates with first-generation adenoviruses), immune responses (neutralizing antibodies in ~ 30% of patients), and limited clinical efficacy (< 10% objective response rates in 1990s trials). However, advancements in viral and non-viral vectors (e.g., AAVs achieving > 50% transduction efficiency in solid tumors), alongside CRISPR-Cas9 (90% target gene knockout rates in preclinical models) and RNA interference technologies, have revolutionized the field. Presently, gene therapy strategies, including tumor suppressor gene restoration, oncogene silencing, and immune modulation, demonstrate promising clinical outcomes. Despite persistent hurdles like off-target effects and high costs, emerging innovations in personalized gene editing, oncolytic viruses, and combination therapies signal a paradigm shift in oncology. This review explores the evolution of gene therapy for cancer, highlighting key milestones, current applications, and future directions that could unlock its full therapeutic potential.
Indexed as
Identifiers
41016988What 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.