Evidence map›Paper›PMID 25961488›Full record

ReviewViruses2015

Alphaviruses in gene therapy.

Kenneth Lundstrom

Abstract readReview
In one paragraph

Review in Viruses, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed, 1 pooled it
–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

20 citing papers in PubMed, 1 synthesis or guideline pooled it.

  1. Controlling timing and location in vaccines.Advanced drug delivery reviews · 2020
    Pooled it
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Viral Vector-Based Gene Therapy.International journal of molecular sciences · 2023
    Review
  9. Article
  10. Article
  11. Alphaviruses in Cancer Therapy.Frontiers in molecular biosciences · 2022
    Review
  12. Review
  13. Review
  14. Mechanisms of Innate Immune Activation by a Hybrid Alphavirus-Rhabdovirus Vaccine Platform.Journal of interferon & cytokine research : the official journal of the International Society for Interferon and Cytokine Research · 2020
    Article
  15. Article
  16. Article
  17. Review
  18. Viral and Synthetic RNA Vector Technologies and Applications.Molecular therapy : the journal of the American Society of Gene Therapy · 2016
    Review
  19. Article
  20. Article
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

1 author.

Kenneth LundstromPanTherapeutics, Lutry CH1095, Switzerland. lundstromkenneth@gmail.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Alphavirus vectors present an attractive approach for gene therapy applications due to the rapid and simple recombinant virus particle production and their broad range of mammalian host cell transduction. Mainly three types of alphavirus vectors, namely naked RNA, recombinant particles and DNA/RNA layered vectors, have been subjected to preclinical studies with the goal of achieving prophylactic or therapeutic efficacy, particularly in oncology. In this context, immunization with alphavirus vectors has provided protection against challenges with tumor cells. Moreover, alphavirus intratumoral and systemic delivery has demonstrated substantial tumor regression and significant prolonged survival rates in various animal tumor models. Recent discoveries of the strong association of RNA interference and disease have accelerated gene therapy based approaches, where alphavirus-based gene delivery can play an important role.

Indexed as

Transduction, GeneticAlphavirusCancer VaccinesDrug CarriersGenetic TherapyHumansNeoplasmsCancer VaccinesDrug Carriers

Identifiers

PMID25961488
PMCPMC4452908

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.