Evidence map›Paper›PMID 42642813›Full record

ArticleChemMedChem2026

Ionizable Cholesterol-Integrated Lipid Nanoparticles for Efficient siRNA Delivery to Solid Tumors.

Suyoung Kang, Duc-Toan Nguyen, Sangyong Jon

Abstract read
In one paragraph

Article in ChemMedChem, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

3 authors.

Suyoung KangDepartment of Biological Sciences, KAIST Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0000-1175-8413
Duc-Toan NguyenDepartment of Biological Sciences, KAIST Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID https://orcid.org/0009-0001-8456-2259
Sangyong JonDepartment of Biological Sciences, KAIST Institute for the BioCentury, Korea Advanced Institute of Science and Technology (KAIST), Daejeon, Republic of Korea.ORCID https://orcid.org/0000-0002-6971-586X

Funding

National Research Foundation of Korea IRIS RS-2018-NR030951
6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) are clinically validated platform for the delivery of small interfering RNA (siRNA) therapeutics. However, conventional LNPs typically consist of multiple lipid components, which complicates formulation optimization and limits compositional flexibility. Furthermore, efficient delivery of siRNA to extrahepatic tissues, including solid tumors, remains a major challenge. To address these limitations, we developed a class of ionizable cholesterol derivatives by conjugating biocompatible dimethylated amino acids to cholesterol through a cleavable linker, thereby integrating the structural role of cholesterol and the pH-responsive ionization of ionizable lipids into a single molecule. Five i-Chol derivatives were synthesized and formulated into LNPs, which demonstrated efficient siRNA encapsulation and delivery in cancer cells. The resulting siRNA@i-Chol LNPs exhibited uniform particle size and near-neutral surface charge, indicating favorable physicochemical properties for systemic administration. Notably, phenylalanine-based cholesterol LNPs (Phe-Chol LNPs) loaded with siRNA targeting kinesin spindle protein (KIF11) achieved the most potent in vitro gene knockdown in PC3 prostate cancer cells and induced significant dose-dependent antitumor activity in a xenograft model without observable systemic toxicity. Collectively, this study establishes a simplified i-Chol LNP platform that maintains high siRNA delivery efficiency to solid tumors and provides a versatile framework for further LNP engineering and scalable manufacturing.

Indexed as

Antineoplastic AgentsCholesterolLipidsNanoparticlesRNA, Small InterferingAnimalsCell ProliferationDrug Screening Assays, AntitumorHumansKinesinsLiposomesMaleMiceMice, NudeMolecular StructureParticle SizeAntineoplastic AgentsCholesterolKIF11 protein, humanKinesinsLipid NanoparticlesLipidsLiposomesRNA, Small Interferingcancer therapydrug deliveryionizable cholesterollipid nanoparticles (LNPs)siRNAs

Identifiers

PMID42642813
PMCPMC13507376

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.