Evidence map›Paper›PMID 40551168›Full record

ArticleJournal of nanobiotechnology2025

Delivery of LOXL1-AS1-siRNAs using targeting peptide-engineered extracellular vesicles with focused ultrasound to suppress medulloblastoma metastasis.

Anh Duy Do, Shing-Shung Chu, Le Hien Giang, Pei-Lin Huang, Yu-Ling Lin, Che-Chang Chang, Tai-Tong Wong, Shian-Ying Sung, Chia-Ling Hsieh

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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

3 citing papers in PubMed.

  1. Review
  2. Review
  3. 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

9 authors.

Anh Duy DoDepartment of Physiology, Pathophysiology and Immunology, Pham Ngoc Thach University of Medicine, Ho Chi Minh City, 700000, Vietnam.ORCID http://orcid.org/0000-0001-7268-4307
Shing-Shung ChuGraduate Institute of Clinical Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan.
Le Hien GiangInternational Ph.D. Program for Translational Science, College of Medical Science and Technology, Taipei Medical University, Taipei, 11031, Taiwan.
Pei-Lin HuangInternational Ph.D. Program for Translational Science, College of Medical Science and Technology, Taipei Medical University, Taipei, 11031, Taiwan.
Yu-Ling LinAgricultural Biotechnology Research Center, Academia Sinica, Taipei, 11529, Taiwan.
Che-Chang ChangInternational Ph.D. Program for Translational Science, College of Medical Science and Technology, Taipei Medical University, Taipei, 11031, Taiwan.
Tai-Tong WongGraduate Institute of Clinical Medicine, School of Medicine, College of Medicine, Taipei Medical University, Taipei, 11031, Taiwan.
Shian-Ying SungInternational Ph.D. Program for Translational Science, College of Medical Science and Technology, Taipei Medical University, Taipei, 11031, Taiwan. ssung@tmu.edu.tw.ORCID http://orcid.org/0000-0002-0078-3899
Chia-Ling HsiehNeuroscience Research Center, Taipei Medical University Hospital, Taipei, 11031, Taiwan. cshe1539@csh.org.tw.ORCID http://orcid.org/0000-0002-6649-9030

Funding

Higher Education Sprout Project by the Ministry of Education DP2-TMU-113-C-04Higher Education Sprout Project by the Ministry of Education DP2-TMU-113-O-03Ministry of Health and Welfare MOHW111-TDU-B-221-114002Ministry of Science and Technology, Taiwan MOST111-2314-B-038-131-MY3National Science and Technology Council NSTC112-2321-B-038-008National Science and Technology Council NSTC113-2314-B-038-012National Science and Technology Council NSTC113-2314-B-040-031Taipei Medical University TMU112-AE2-I19
6 · The paper itself

Abstract

backgroundMetastasis of medulloblastomas (MBs) is difficult to treat and remains the primary cause of death in children with this brain tumor. Current treatment focuses on radiotherapy to limit metastatic recurrence and maintain survival, but this may cause long-term neurocognitive deficits. This challenge emphasizes the need for novel targeted therapies to combat metastatic MB. In this study, we report an RNA therapy model using targeted extracellular vesicles (EVs) to deliver therapeutic small-interfering (si)RNAs to MB.

resultsFirst, MB-targeted EVs (MB-tEVs) were generated via genetic modification of EV-producing cells to express E1-3, an MB-specific peptide. Next, isolated MB-tEVs were loaded with siRNAs that targeted LOXL1-AS1, a pro-metastatic long non-coding RNA in sonic-hedgehog MB (SHH-MB). Expression of the E1-3 peptide increased MB-tEV internalization into MB cells, where the delivered siRNAs effectively silenced LOXL1-AS1 and suppressed LOXL1-AS1-mediated metastatic traits of SHH-MB cells in vitro. Locoregional application of microbubble-enhanced focused ultrasound (FUS) improved the accumulation of systemically injected EVs in the mouse brain. Mice treated with siRNA-loaded MB-tEVs had decreased LOXL1-AS1 expression, reduced metastases, and improved survival in an SHH-MB orthotopic model.

conclusionsOur study provides the first and very promising evidence for the combined use of tumor-targeted EVs and microbubble-enhanced FUS to deliver therapeutic siRNAs to suppress metastatic MB, potentially supporting conventional treatments and improving clinical outcomes of this malignant pediatric tumor.

Indexed as

Cerebellar NeoplasmsExtracellular VesiclesMedulloblastomaPeptidesRNA, Long NoncodingRNA, Small InterferingAnimalsCell Line, TumorHumansMiceMice, NudeNeoplasm MetastasisPeptidesRNA, Long NoncodingRNA, Small InterferingExosomeExtracellular vesiclesFocused ultrasoundLOXL1-AS1MedulloblastomaTargeted delivery

Identifiers

PMID40551168
PMCPMC12186380

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.