Evidence map›Paper›PMID 42078581›Full record

ArticleMed-X2026

Examining the effect of lipid nanoparticle elasticity on endocytosis and mRNA delivery to cancer cells.

Cecilia F Shuler, Hannah C Safford, Ajay S Thatte, Melgious Ang, Michael J Mitchell

Abstract read
In one paragraph

Article in Med-X, 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

5 authors.

Cecilia F Shuler *Department of Biophysics, University of Pennsylvania, Philadelphia, PA 19104 USA.
Hannah C Safford *Department of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA.ORCID 0000-0002-2512-8153
Ajay S ThatteDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA.
Melgious AngDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA.
Michael J MitchellDepartment of Bioengineering, University of Pennsylvania, Philadelphia, PA 19104 USA.ORCID 0000-0002-3628-2244

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) have emerged as modular and potent vehicles for nucleic acid delivery, offering a potentially promising new strategy for cancer therapy. This study investigates how LNP elasticity, modulated through variations in sterol lipid structure and sterol lipid molar ratio, affects LNP endocytosis and mRNA transfection in liver (HepG2), ovarian (OVCAR8), and lung (H1299) cancer cell lines. All LNP formulations were characterized for size, polydispersity index, and mRNA encapsulation efficiency and subsequently assessed for mRNA transfection in HepG2, OVCAR8, and H1299 cancer cells. In vitro screening showed that LNP elasticity influences mRNA transfection across all three cell types. Specifically, LNPs of intermediate stiffness enhanced mRNA transfection in HepG2 and OVCAR8 cells whereas LNPs with low stiffness improved mRNA transfection in H1299 cells. Mechanistic endocytosis studies showed that clathrin-mediated and lipid raft-mediated endocytosis pathways contribute to LNP uptake in all three cell lines. These findings highlight the promise of tuning LNP elasticity to enhance mRNA delivery to cancer cells and potentially improve the therapeutic efficacy of LNPs for cancer therapy applications. Graphical Abstract: Supplementary Information: The online version contains supplementary material available at 10.1007/s44258-026-00082-w.

Indexed as

CancerLipid nanoparticlesMessenger RNANanoparticle elasticity

Identifiers

PMID42078581
PMCPMC13132934

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.