Evidence map›Paper›PMID 41016988›Full record

ReviewFunctional & integrative genomics2025

Cancer gene therapy: historical perspectives, current applications, and future directions.

Jingyi Zeng, Jingwen Luo, Yingchun Zeng

Abstract readReview
PubMed Publisher
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

2 citing papers in PubMed.

  1. Review
  2. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors.

Jingyi ZengKey Laboratory of Structure-Specific Small Molecule Drugs at Chengdu Medical College of Sichuan Province, School of Pharmacy, Chengdu Medical College, Chengdu, 610500, China.
Jingwen LuoHubei Province Key Laboratory of Industrial Biotechnology, School of Life Sciences, Hubei University, Wuhan, 610041, China.
Yingchun ZengKey Laboratory of Structure-Specific Small Molecule Drugs at Chengdu Medical College of Sichuan Province, School of Pharmacy, Chengdu Medical College, Chengdu, 610500, China. 102017018@cmc.edu.cn.

Funding

CMC Excellent-talent Program of Chengdu Medical College 2024qnGzn12 and 2024kjTzn08Innovation and Entrepreneurship Training Program for College Students S202413705064National Natural Science Foundation of China 82104084
6 · The paper itself

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

Genetic TherapyNeoplasmsAnimalsCRISPR-Cas SystemsGene EditingGenetic VectorsHumansOncolytic VirotherapyCancer treatmentGene therapyImmune modulationOncogene silencingTumor suppressor genes

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

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.