Evidence map›Paper›PMID 34553269›Full record

ArticleMikrochimica acta2021

Rationally designed upconversion nanoparticles for NIR light-controlled lysosomal escape and nucleus-based photodynamic therapy.

Xiaokai Chen, Yi Zhang, Xiaodong Zhang, Zhen Zhang, Yong Zhang

Abstract read
PubMed Publisher
In one paragraph

Article in Mikrochimica acta, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Progress of Nanomaterials in Photodynamic Therapy Against Tumor.Frontiers in bioengineering and biotechnology · 2022
    Review
  2. 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

5 authors.

Xiaokai ChenDepartment of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117583, Singapore.
Yi ZhangDepartment of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117583, Singapore.
Xiaodong ZhangDivision of Chemistry and Biological Chemistry, School of Physical and Mathematical Sciences, Nanyang Technological University, 21 Nanyang Link, Singapore, 637371, Singapore.
Zhen ZhangDepartment of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117583, Singapore.
Yong ZhangDepartment of Biomedical Engineering, Faculty of Engineering, National University of Singapore, Singapore, 117583, Singapore. biezy@nus.edu.sg.ORCID http://orcid.org/0000-0002-1303-0458

Funding

Ministry of Education of Singapore 2016-T3-1-004, R-397-000-274-112, R-397-000-270-114National Medical Research Council NMRC/OFIRG/0071/2018, R-397-000-317-213
6 · The paper itself

Abstract

Cell nucleus-based photodynamic therapy is a highly effective method for cancer therapy, but it is still challenging to design nucleus-targeting photosensitizers. Here, we propose the "one treatment, multiple irradiations" strategy to achieve nucleus-based photodynamic therapy using the photosensitizer rose bengal (RB)-loaded and mesoporous silica-coated upconversion nanoparticles with the surface modification of amine group (UCNP/RB@mSiO

Indexed as

Antineoplastic AgentsCell NucleusCell SurvivalHumansLightLysosomesMCF-7 CellsMetals, Rare EarthNanoparticlesPhotochemotherapyPhotosensitizing AgentsReactive Oxygen SpeciesRose BengalSilicon DioxideSpheroids, CellularTumor Cells, CulturedAntineoplastic AgentsMetals, Rare EarthPhotosensitizing AgentsReactive Oxygen SpeciesRose BengalSilicon DioxideCancer therapyLysosomal escapeNucleus targetingPhotodynamic therapyUpconversion nanoparticles

Identifiers

PMID34553269

What OpenQuestion holds

Textmetadata
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.