Evidence map›Paper›PMID 33859378›Full record

ReviewCancer gene therapy2022

Vector engineering, strategies and targets in cancer gene therapy.

Vijayata Singh, Nusrat Khan, Giridhara R Jayandharan

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer gene therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
5.5field-weighted citation impact, top 4% of its field
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

26 citing papers in PubMed, 47 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Virotherapy as Gene Deliver for Anti-Cancer Therapy: A Review Article.Asian Pacific journal of cancer prevention : APJCP · 2025
    Review
  7. Article
  8. Review
  9. Review
  10. Review
  11. DARPin-induced reactivation of p53 in HPV-positive cells.Nature structural & molecular biology · 2025
    Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Cancer biotherapy: review and prospect.Clinical and experimental medicine · 2024
    Review
  20. [Precision medicine in oncology].Innere Medizin (Heidelberg, Germany) · 2024
    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 at 1 institution in 1 country.

Vijayata SinghDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, UP, India.
Nusrat KhanDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, UP, India.
Giridhara R JayandharanDepartment of Biological Sciences and Bioengineering, Indian Institute of Technology, Kanpur, UP, India. jayrao@iitk.ac.in.ORCID http://orcid.org/0000-0001-9353-9053
Indian Institute of Technology Kanpur · IN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Understanding the molecular basis of disease and the design of rationally designed molecular therapies has been the holy grail in the management of human cancers. Gene-based therapies are an important avenue for achieving a possible cure. Focused research in the last three decades has provided significant clues to optimize the potential of cancer gene therapy. The development of gene therapies with a high potential to kill the target cells at the lowest effective dose possible, the development of vectors with significant ability to target cancer-associated antigen, the application of adjunct therapies to target dysregulated microRNA, and embracing a hybrid strategy with a combination of gene therapy and low-dose chemotherapy in a disease-specific manner will be pivotal. This article outlines the advances and challenges in the field with emphasis on the biology and scope of vectors used for gene transfer, newer targets identified, and their outcome in preclinical and clinical studies.

Indexed as

Genetic TherapyNeoplasmsCombined Modality TherapyGenes, NeoplasmGenetic VectorsHumans

Identifiers

PMID33859378
OpenAlexW3153511260

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.