Evidence map›Paper›PMID 40657181›Full record

ArticleSmall science2025

Therapeutic Glypican-3 CRISPR Genome-Editing Using UltraLarge Porous Silica Nano-Depot for the Treatment of Hepatocellular Carcinoma.

Sanghee Lee, Sian Lee, Hyojin Lee, Seongchan Kim, Dong-Hyun Kim

Abstract read
In one paragraph

Article in Small science, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. 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.

Sanghee LeeDepartment of Radiology Feinberg School of Medicine Northwestern University Chicago IL 60611 USA.
Sian LeeSchool of Biomedical Engineering Korea University Seoul 02841 Republic of Korea.
Hyojin LeeBiomaterial Research Center, Biomedical Research Institute Korea Institute of Science and Technology (KIST) Seoul 02792 Republic of Korea.ORCID https://orcid.org/0000-0001-6367-9485
Seongchan KimDepartment of Radiology Feinberg School of Medicine Northwestern University Chicago IL 60611 USA.ORCID https://orcid.org/0000-0002-2104-6599
Dong-Hyun KimDepartment of Radiology Feinberg School of Medicine Northwestern University Chicago IL 60611 USA.ORCID https://orcid.org/0000-0001-6815-3319

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Glypican-3 (GPC3) is a key diagnostic marker and therapeutic target in hepatocellular carcinoma (HCC), interacting with Wnt and Hippo/YAP pathways related to cancer proliferation. Modulating GPC3 gene expression can induce liver cancer cell death by disrupting growth factor signaling, cell adhesion, and metabolic regulation. This study presents the development of a non-viral ultralarge porous CRISPR-Cas9 silica nano-depot to perform targeted GPC3 genome editing for the treatment of HCC. The synthesized ultralarge porous silica nano-depot (UPSND) encapsulates substantial CRISPR-Cas9-ribonucleoprotein complexes with a remarkable 98.3% loading efficiency. The UPSND-mediated GPC3 CRISPR-Cas9 therapy significantly suppresses cancer cell proliferation by modulating the Wnt and Hippo/YAP pathways. The efficiency of GPC3 gene deletion is observed to be 5.1-fold higher than that of commercial lipid-based GPC3 CRISPR-Cas9 in both human and murine genes, with minimal off-target effects. In vivo systemic administration of GPC3 Cas9-RNP@UPSND resulted in preferential accumulation within hepatic tissues in orthotopic HCC mouse models, leading to complete tumor eradication and enhancing

Indexed as

crispr‐cas9gene therapyglypican‐3hepatocellular carcinomaporous silica nanoparticles

Identifiers

PMID40657181
PMCPMC12245085

What OpenQuestion holds

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Registered trials

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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.