Evidence map›Paper›PMID 15550938›Full record

ReviewCancer gene therapy2005

Short interfering RNAs as a tool for cancer gene therapy.

Marta Izquierdo

Abstract readReview
PubMed Publisher
In one paragraph

Review in Cancer gene therapy, 2005. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

0numbers the graph read from it
0cells of the map it votes in
52citing papers in PubMed
5.9field-weighted citation impact, top 3% 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

52 citing papers in PubMed, 188 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Allele-specific depletion ofMolecular therapy. Oncology · 2025
    Article
  5. Review
  6. Article
  7. Review
  8. Why is Mortalin a Potential Therapeutic Target for Cancer?Frontiers in cell and developmental biology · 2022
    Review
  9. Review
  10. Review
  11. Nanomedicines for Endometriosis: Lessons Learned from Cancer Research.Small (Weinheim an der Bergstrasse, Germany) · 2021
    Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Review
  17. Article
  18. Article
  19. Article
  20. Lentivirus-mediated RNAi knockdown ofExperimental and therapeutic medicine · 2017
    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 at 1 institution in 1 country.

Marta IzquierdoDepartment of Molecular Biology, Centro de Biología Molecular Severo Ochoa, Universidad Autónoma de Madrid, Facultad de Ciencias, Madrid, Spain. mizquierdo@cbm.uam.es
Centro de Biología Molecular Severo Ochoa · ES

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

There are mainly two types of short RNAs that target complementary messengers in animals: small interfering RNAs and micro-RNAs. Both are produced by the cleavage of double-stranded RNA precursors by Dicer, a member of the Rnase III family of double-stranded specific endonucleases, and both guide the RNA-induced silencing complex to cleave specifically RNAs sharing sequence identity with them. In designing a particular RNA interference (RNAi), it is important to identify the sense/antisense combination that provides the most potent suppression of the target mRNA, and several rules have been established to give >90% gene expression inhibition. RNAi technology can be directed against cancer using a variety of strategies. These include the inhibition of overexpressed oncogenes, blocking cell division by interfering with cyclin E and related genes or promoting apoptosis by suppressing antiapoptotic genes. RNAi against multidrug resistance genes or chemoresistance targets may also provide useful cancer treatments. Studies investigating these approaches in preclinical models are also reviewed.

Indexed as

RNA InterferenceApoptosisCell CycleGene Expression Regulation, NeoplasticGenes, MDRGenetic TherapyGenetic VectorsNeoplasmsRNA, MessengerRNA, Small InterferingRNA, MessengerRNA, Small Interfering

Identifiers

PMID15550938
OpenAlexW2019411198

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.