Evidence map›Paper›PMID 30662822›Full record

ArticleNanotheranostics2019

Intelligent Photosensitive Mesenchymal Stem Cells and Cell-Derived Microvesicles for Photothermal Therapy of Prostate Cancer.

Liqun Huang, Chang Xu, Peng Xu, Yu Qin, Mengwei Chen, Qishuai Feng, Jing Pan, Qian Cheng, Feng Liang, Xiaofei Wen and 3 more

Abstract read
In one paragraph

Article in Nanotheranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 21 papers.

0numbers the graph read from it
0cells of the map it votes in
21citing 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

21 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Review
  5. Article
  6. Review
  7. Review
  8. Article
  9. Review
  10. The roles and therapeutic approaches of MSC-derived exosomes in colorectal cancer.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2022
    Review
  11. Review
  12. Review
  13. Intravenously Infused Stem Cells for Cancer Treatment.Stem cell reviews and reports · 2021
    Review
  14. Article
  15. Review
  16. Review
  17. Review
  18. Article
  19. Nanoparticles for Stem Cell Therapy Bioengineering in Glioma.Frontiers in bioengineering and biotechnology · 2020
    Review
  20. Non-invasiveTheranostics · 2019
    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

13 authors.

Liqun HuangDepartment of Urology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Chang XuShanghai East Hospital; The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200120, China.
Peng XuThe State Key Laboratory of Refractories and Metallurgy, School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
Yu QinInstitute of Acoustics, Tongji University, Siping Road 1239, Shanghai 200092, China.
Mengwei ChenShanghai East Hospital; The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200120, China.
Qishuai FengShanghai East Hospital; The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200120, China.
Jing PanInstitute of Acoustics, Tongji University, Siping Road 1239, Shanghai 200092, China.
Qian ChengInstitute of Acoustics, Tongji University, Siping Road 1239, Shanghai 200092, China.
Feng LiangThe State Key Laboratory of Refractories and Metallurgy, School of Chemistry and Chemical Engineering, Wuhan University of Science and Technology, Wuhan 430081, China.
Xiaofei WenDepartment of Urology, Shanghai East Hospital, Tongji University School of Medicine, Shanghai, 200120, China.
Ying WangKey Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences/Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yufang ShiKey Laboratory of Stem Cell Biology, Institute of Health Sciences, Shanghai Institutes for Biological Sciences, Chinese Academy of Sciences/Shanghai Jiao Tong University School of Medicine, Shanghai, China.
Yu ChengShanghai East Hospital; The Institute for Biomedical Engineering & Nano Science, Tongji University School of Medicine, Shanghai, 200120, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Targeted delivery of nanomedicines into the tumor site and improving the intratumoral distribution remain challenging in cancer treatment. Here, we report an effective transportation system utilizing both of mesenchymal stem cells (MSCs) and their secreted microvesicles containing assembled gold nanostars (GNS) for targeted photothermal therapy of prostate cancer. The stem cells act as a cell carrier to actively load and assemble GNS into the lysosomes. Accumulation of GNS in the lysosomes facilitates the close interaction of nanoparticles, which could result in a 20 nm red-shift of surface plasmon resonance of GNS with a broad absorption in the near infrared region. Moreover, the MSCs can behave like an engineering factory to pack and release the GNS clusters into microvesicles. The secretion of GNS can be stimulated via light irradiation, providing an external trigger-assisted approach to encapsulate nanoparticles into cell derived microvesicles.

Indexed as

AnimalsCell-Derived MicroparticlesCell Line, TumorGoldHumansInjections, IntravenousMaleMesenchymal Stem CellsMesenchymal Stem Cell TransplantationMetal NanoparticlesMiceParticle SizePhototherapyProstatic NeoplasmsTreatment OutcomeXenograft Model Antitumor AssaysGoldgold nanostarsmesenchymal stem cellsmicrovesiclesphotothermal therapytargeted transportation

Identifiers

PMID30662822
PMCPMC6328305

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.