Evidence map›Paper›PMID 27138178›Full record

ArticleMolecular therapy. Nucleic acids2016

A Tumor-specific MicroRNA Recognition System Facilitates the Accurate Targeting to Tumor Cells by Magnetic Nanoparticles.

Yingting Yu, Yi Yao, Hao Yan, Rui Wang, Zhenming Zhang, Xiaodan Sun, Lingyun Zhao, Xiang Ao, Zhen Xie, Qiong Wu

Abstract read
In one paragraph

Article in Molecular therapy. Nucleic acids, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Review
  2. Review
  3. Review
  4. Review
  5. Smart nanoparticles for cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  6. Review
  7. Review
  8. Article
  9. Article
  10. Review
  11. Article
  12. miRNA nanotherapeutics for cancer.Drug discovery today · 2017
    Review
  13. 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

10 authors.

Yingting YuMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Yi YaoMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Hao YanKey Laboratory of Advanced Materials of Ministry of Education of China, School of Materials Science & Engineering, Tsinghua University, Beijing, China.
Rui WangMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Zhenming ZhangMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Xiaodan SunKey Laboratory of Advanced Materials of Ministry of Education of China, School of Materials Science & Engineering, Tsinghua University, Beijing, China.
Lingyun ZhaoKey Laboratory of Advanced Materials of Ministry of Education of China, School of Materials Science & Engineering, Tsinghua University, Beijing, China.
Xiang AoMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.
Zhen XieBioinformatics Division/Center for Synthetic & Systems Biology, Tsinghua National Laboratory for Information Science and Technology, Tsinghua University, Beijing, China.
Qiong WuMOE Key Laboratory of Bioinformatics, School of Life Sciences, Tsinghua University, Beijing, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted therapy for cancer is a research area of great interest, and magnetic nanoparticles (MNPs) show great potential as targeted carriers for therapeutics. One important class of cancer biomarkers is microRNAs (miRNAs), which play a significant role in tumor initiation and progression. In this study, a cascade recognition system containing multiple plasmids, including a Tet activator, a lacI repressor gene driven by the TetOn promoter, and a reporter gene repressed by the lacI repressor and influenced by multiple endogenous miRNAs, was used to recognize cells that display miRNA signals that are characteristic of cancer. For this purpose, three types of signal miRNAs with high proliferation and metastasis abilities were chosen (miR-21, miR-145, and miR-9). The response of this system to the human breast cancer MCF-7 cell line was 3.2-fold higher than that to the human breast epithelial HBL100 cell line and almost 7.5-fold higher than that to human embryonic kidney HEK293T cells. In combination with polyethyleneimine-modified MNPs, this recognition system targeted the tumor location in situ in an animal model, and an ~42% repression of tumor growth was achieved. Our study provides a new combination of magnetic nanocarrier and gene therapy based on miRNAs that are active in vivo, which has potential for use in future cancer therapies.

Identifiers

PMID27138178
PMCPMC5014513

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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.