Evidence map›Paper›PMID 33596035›Full record

ArticleACS applied materials & interfaces2021

Designing Mesoporous Silica Nanoparticles to Overcome Biological Barriers by Incorporating Targeting and Endosomal Escape.

Miguel Gisbert-Garzarán, Daniel Lozano, Kotaro Matsumoto, Aoi Komatsu, Miguel Manzano, Fuyuhiko Tamanoi, María Vallet-Regí

Open access · greenAbstract read
In one paragraph

Article in ACS applied materials & interfaces, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 25 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
25citing papers in PubMed, 2 pooled it
4.1field-weighted citation impact, top 5% of its field
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

25 citing papers in PubMed, 2 syntheses or guidelines pooled it, 68 citations in OpenAlex.

  1. Pooled it
  2. Pooled it
  3. Article
  4. Mesoporous Silica Nanoparticles in Biomedicine: Advances and Prospects.Advanced materials (Deerfield Beach, Fla.) · 2026
    Review
  5. Review
  6. Article
  7. Tumor Microenvironment-Responsive Nanomedicines for Potentiating Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Review
  8. Review
  9. Review
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. The emergence of nanoporous materials in lung cancer therapy.Science and technology of advanced materials · 2022
    Review
  20. 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

7 authors at 3 institutions in 3 countries.

Miguel Gisbert-GarzaránChemistry in Pharmaceutical Sciences, School of Pharmacy, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria Hospital 12 de Octubre (i+12), Pz/Ramón y Cajal s/n, Madrid 28040, Spain.ORCID http://orcid.org/0000-0001-9815-0354
Daniel LozanoChemistry in Pharmaceutical Sciences, School of Pharmacy, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria Hospital 12 de Octubre (i+12), Pz/Ramón y Cajal s/n, Madrid 28040, Spain.ORCID http://orcid.org/0000-0001-5902-9201
Kotaro MatsumotoInstitute for Integrated Cell-Material Sciences, Institute for Advanced Study, Kyoto University, Kyoto 606-8501, Japan.ORCID http://orcid.org/0000-0002-4927-0103
Aoi KomatsuInstitute for Integrated Cell-Material Sciences, Institute for Advanced Study, Kyoto University, Kyoto 606-8501, Japan.ORCID http://orcid.org/0000-0003-2322-8692
Miguel ManzanoChemistry in Pharmaceutical Sciences, School of Pharmacy, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria Hospital 12 de Octubre (i+12), Pz/Ramón y Cajal s/n, Madrid 28040, Spain.ORCID http://orcid.org/0000-0001-6238-6111
Fuyuhiko TamanoiInstitute for Integrated Cell-Material Sciences, Institute for Advanced Study, Kyoto University, Kyoto 606-8501, Japan.ORCID http://orcid.org/0000-0002-4220-6408
María Vallet-RegíChemistry in Pharmaceutical Sciences, School of Pharmacy, Universidad Complutense de Madrid, Instituto de Investigación Sanitaria Hospital 12 de Octubre (i+12), Pz/Ramón y Cajal s/n, Madrid 28040, Spain.ORCID http://orcid.org/0000-0002-6104-4889
Universidad Complutense de Madrid · ESKyoto University · JPUniversity of California, Los Angeles · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The several biological barriers that nanoparticles might encounter when administered to a patient constitute the major bottleneck of nanoparticle-mediated tumor drug delivery, preventing their successful translation into the clinic and reducing their therapeutic profile. In this work, mesoporous silica nanoparticles have been employed as a platform to engineer a versatile nanomedicine able to address such barriers, achieving (a) excessive premature drug release control, (b) accumulation in tumor tissues, (c) selective internalization in tumoral cells, and (d) endosomal escape. The nanoparticles have been decorated with a self-immolative redox-responsive linker to prevent excessive premature release, to which a versatile and polyvalent peptide that is able to recognize tumoral cells and induce the delivery of the nanoparticles to the cytoplasm via endosomal escape has been grafted. The excellent biological performance of the carrier has been demonstrated using 2D and 3D

Indexed as

AnimalsAntineoplastic AgentsCell Line, TumorChickensDoxorubicinDrug CarriersDrug LiberationEmbryo, NonmammalianEndosomesHumansNanoparticlesNeoplasmsPorositySilicon DioxideAntineoplastic AgentsDoxorubicinDrug CarriersSilicon Dioxidechicken embryo modeldrug deliveryendosomal escapemesoporous silica nanoparticlesredox-responsiveself-immolativestimuli-responsivetargeting

Identifiers

PMID33596035
PMCPMC7944478
OpenAlexW3131917275

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.