Evidence map›Paper›PMID 30008618›Full record

ReviewCancer cell international2018

Nanostructured lipid carriers for MicroRNA delivery in tumor gene therapy.

Hairong Wang, Shiming Liu, Li Jia, Fengyun Chu, Ya Zhou, Zhixu He, Mengmeng Guo, Chao Chen, Lin Xu

Abstract readReview
In one paragraph

Review in Cancer cell international, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing 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

33 citing papers in PubMed.

  1. Review
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  11. Review
  12. miRNA-Based Technologies in Cancer Therapy.Journal of personalized medicine · 2023
    Review
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  15. Article
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  18. Evaluation of drug carrier hepatotoxicity using primary cell culture models.Nanomedicine : nanotechnology, biology, and medicine · 2023
    Article
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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

9 authors.

Hairong WangSpecial Key Laboratory of Gene Detection & Therapy of Guizhou Province, Zunyi, 563000 Guizhou China.
Shiming LiuSpecial Key Laboratory of Gene Detection & Therapy of Guizhou Province, Zunyi, 563000 Guizhou China.
Li JiaSpecial Key Laboratory of Gene Detection & Therapy of Guizhou Province, Zunyi, 563000 Guizhou China.
Fengyun ChuSpecial Key Laboratory of Gene Detection & Therapy of Guizhou Province, Zunyi, 563000 Guizhou China.
Ya Zhou3Department of Medical Physics, Zunyi Medical College, Zunyi, 563000 Guizhou China.
Zhixu He4Stem Cell and Tissue Engineering Research Center, Guizhou Medical University, Guiyang, 550004 Guizhou China.
Mengmeng GuoSpecial Key Laboratory of Gene Detection & Therapy of Guizhou Province, Zunyi, 563000 Guizhou China.
Chao ChenSpecial Key Laboratory of Gene Detection & Therapy of Guizhou Province, Zunyi, 563000 Guizhou China.
Lin XuSpecial Key Laboratory of Gene Detection & Therapy of Guizhou Province, Zunyi, 563000 Guizhou China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

MicroRNAs (miRNAs), which are endogenous about 20-23 nucleotides non-coding RNAs, have been acted as post-transcriptional regulators of gene expression. Current studies demonstrated that miRNAs are promising candidates for tumor gene therapy because of their important biological functions in tumor cell proliferation, metastasis, apoptosis, and drug resistance. As an important delivery system, nanostructured lipid carriers (NLCs) have great potential in tumor gene therapy, particularly for miRNA delivery, due to low toxicity, low immunogenicity, long metabolic cycles, and easy modification. This article reviews recent research progress on NLCs for miRNA delivery in tumor gene therapy and prospective applications.

Indexed as

MicroRNANanostructured lipid carrier (NLC)Tumor

Identifiers

PMID30008618
PMCPMC6043968

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Registered trials

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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.