Evidence map›Paper›PMID 23618947›Full record

ArticleCancer gene therapy2013

Selection of optimal combinations of target genes for therapeutic multi-gene silencing based on miRNA co-regulation.

A Malek, B Gyorffy, C V Catapano, R Schäfer

Abstract read
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In one paragraph

Article in Cancer gene therapy, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Article
  2. Article
  3. A Vesicular Stomatitis Virus-Inspired DNA Nanocomplex for Ovarian Cancer Therapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2018
    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

4 authors.

A MalekLaboratory of Oncoendocrinology, N.N.Petrov Institute of Oncology, Pesochny-2, St Petersburg, Russia. anastasia@malek.com
B Gyorffy
C V Catapano
R Schäfer

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Therapeutic gene silencing is a promising approach for treatment of cancer. Despite substantial efforts, however, only few such therapeutic methods have been clinically tested. The heterogeneity in gene expression profiles among malignant tissues and the dynamic control of gene expression in individual tumors makes identifying universal and effective targets a challenge. Further development of gene silencing therapy requires new approaches to comprehend and manage gene expression in cancer cells. In this study, we proposed and evaluated experimentally a new approach to design multi-gene silencing therapy. Using a simplified model of gene expression control, we show that genes commonly regulated by the same microRNA represent optimal combinations of targets for small hairpin RNA/small interfering RNA-based gene silencing. The proposed method of target gene selection and co-silencing can be explored as an algorithm for personalized cancer gene therapy.

Indexed as

Gene SilencingFemaleGene ExpressionGene Expression ProfilingGenetic TherapyHumansMicroRNAsOvarian NeoplasmsRNA InterferenceMicroRNAs

Identifiers

PMID23618947

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.