Evidence map›Paper›PMID 28092499›Full record

ReviewIEEE transactions on nanobioscience2016

Nanoparticles for siRNA-Based Gene Silencing in Tumor Therapy.

Anish Babu, Ranganayaki Muralidharan, Narsireddy Amreddy, Meghna Mehta, Anupama Munshi, Rajagopal Ramesh

Abstract readReview
In one paragraph

Review in IEEE transactions on nanobioscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing 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

29 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Biocompatible Copolymerized Gold Nanoclusters: Anti-Biomimetics (Basel, Switzerland) · 2025
    Article
  5. Article
  6. Treatment of lung diseasesMaterials today. Bio · 2025
    Review
  7. Review
  8. Review
  9. Article
  10. Article
  11. Review
  12. Review
  13. LncRNA LIMp27 Regulates the DNA Damage Response through p27 in p53-Defective Cancer Cells.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Article
  14. Review
  15. Review
  16. Article
  17. Review
  18. Review
  19. Review
  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

6 authors.

Anish Babu
Ranganayaki Muralidharan
Narsireddy Amreddy
Meghna Mehta
Anupama Munshi
Rajagopal Ramesh

Funding

TUMOR RESISTANCE MECHANISMS TO ANTI-VEGF THERAPY IN PROSTATE CANCER (Sukyung Woo)P20GM103639 · NIGMS · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI DHANASEKARAN, DANNY N. · 2012 to 2022
$21.3M
HuR Targeted Nanotherapy for Lung CancerR01CA167516 · NCI · UNIVERSITY OF OKLAHOMA HLTH SCIENCES CTR · PI RAMESH, RAJAGOPAL · 2013 to 2017
$1.9M
NCI NIH HHS R01 CA167516NIGMS NIH HHS P20 GM103639
6 · The paper itself

Abstract

Gene silencing through RNA interference (RNAi) has emerged as a potential strategy in manipulating cancer causing genes by complementary base-pairing mechanism. Small interfering RNA (siRNA) is an important RNAi tool that has found significant application in cancer therapy. However due to lack of stability, poor cellular uptake and high probability of loss-of-function due to degradation, siRNA therapeutic strategies seek safe and efficient delivery vehicles for in vivo applications. The current review discusses various nanoparticle systems currently used for siRNA delivery for cancer therapy, with emphasis on liposome based gene delivery systems. The discussion also includes various methods availed to improve nanoparticle based-siRNA delivery with target specificity and superior efficiency. Further this review describes challenges and perspectives on the development of safe and efficient nanoparticle based-siRNA-delivery systems for cancer therapy.

Indexed as

NanoparticlesNeoplasmsAnimalsHumansLiposomesMiceRNAi TherapeuticsRNA, Small InterferingLiposomesRNA, Small Interfering

Identifiers

PMID28092499
PMCPMC6198667

What OpenQuestion holds

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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.