Evidence map›Paper›PMID 25756380›Full record

ReviewInternational journal of molecular sciences2015

Development of small RNA delivery systems for lung cancer therapy.

Yu Fujita, Kazuyoshi Kuwano, Takahiro Ochiya

Open access · goldAbstract readReview
In one paragraph

Review in International journal of molecular sciences, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.

0numbers the graph read from it
0cells of the map it votes in
20citing papers in PubMed
4.8field-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

20 citing papers in PubMed, 59 citations in OpenAlex.

  1. Article
  2. Article
  3. Review
  4. Targeting Epigenetics in Lung Cancer.Cold Spring Harbor perspectives in medicine · 2021
    Review
  5. Review
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
  14. Article
  15. Article
  16. Review
  17. Article
  18. Review
  19. ShRNA-mediated silencing of the RFC3 gene suppress ovarian tumor cells proliferation.International journal of clinical and experimental pathology · 2015
    Article
  20. 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 2 institutions in 2 countries.

Yu FujitaDivision of Molecular and Cellular Medicine, National Cancer Center Research Institute, Tokyo 104-0045, Japan. kkuwano@jikei.ac.jp.
Kazuyoshi KuwanoDivision of Respiratory Diseases, Department of Internal Medicine, Jikei University School of Medicine, Tokyo 105-8461, Japan. kkuwano@jikei.ac.jp.
Takahiro OchiyaDivision of Molecular and Cellular Medicine, National Cancer Center Research Institute, Tokyo 104-0045, Japan. tochiya@ncc.go.jp.
National Cancer Research Institute · GBJikei University School of Medicine · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA interference (RNAi) has emerged as a powerful tool for studying target identification and holds promise for the development of therapeutic gene silencing. Recent advances in RNAi delivery and target selection provide remarkable opportunities for translational medical research. The induction of RNAi relies on small silencing RNAs, which affect specific messenger RNA (mRNA) degradation. Two types of small RNA molecules, small interfering RNAs (siRNAs) and microRNAs (miRNAs), have a central function in RNAi technology. The success of RNAi-based therapeutic delivery may be dependent upon uncovering a delivery route, sophisticated delivery carriers, and nucleic acid modifications. Lung cancer is still the leading cause of cancer death worldwide, for which novel therapeutic strategies are critically needed. Recently, we have reported a novel platform (PnkRNA™ and nkRNA®) to promote naked RNAi approaches through inhalation without delivery vehicles in lung cancer xenograft models. We suggest that a new class of RNAi therapeutic agent and local drug delivery system could also offer a promising RNAi-based strategy for clinical applications in cancer therapy. In this article, we show recent strategies for an RNAi delivery system and suggest the possible clinical usefulness of RNAi-based therapeutics for lung cancer treatment.

Indexed as

AnimalsDisease Models, AnimalHumansLung NeoplasmsNanoparticlesProtein Kinase Cras ProteinsReceptor, EphA2Ribonucleotide ReductasesRNA InterferenceRNA, Small InterferingProtein Kinase Cprotein kinase Nras ProteinsReceptor, EphA2Ribonucleotide ReductasesRNA, Small Interfering

Identifiers

PMID25756380
PMCPMC4394474
OpenAlexW2013253942

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.