Evidence map›Paper›PMID 42285982›Full record

ArticleNature communications2026

Engineering human PEG10-based nanoparticles for RNA self-packaging, delivery and cancer therapy.

Pin-Yan Chen, Ting-Lun Tien, Vy Anh Truong, Quyen Thuc Dang, Nuong Thi Kieu Nguyen, Pin-Hsin Chen, Yu-Chen Hu

Abstract read
In one paragraph

Article in Nature communications, 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

7 authors.

Pin-Yan Chen *Department of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Ting-Lun Tien *Department of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Vy Anh TruongDepartment of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Quyen Thuc DangDepartment of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Nuong Thi Kieu NguyenDepartment of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Pin-Hsin ChenDepartment of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan.
Yu-Chen HuDepartment of Chemical Engineering, National Tsing Hua University, Hsinchu, Taiwan. ychu@mx.nthu.edu.tw.ORCID http://orcid.org/0000-0002-9997-4467

Funding

National Health Research Institutes (NHRI) NHRI-EX113-11329EINational Health Research Institutes (NHRI) NHRI-EX114-11329EINational Health Research Institutes (NHRI) NHRI-EX115-11329EI
6 · The paper itself

Abstract

PEG10 protein was recently uncovered to self-assemble and self-package its own mRNA into nanoparticles, but the particles require expensive transfection for production and have yet to be explored for cancer therapy. Here we develop a human PEG10-based nanoparticles (PBNPs) platform for cargo RNA self-packaging and delivery for cancer therapy. We design a process to improve the PBNPs production for 11.3-fold while reducing the cost. The PBNPs self-package mRNA of at least 7336 nucleotides and remain stable for 7 months. We engineer the PBNPs surface and tremendously improve mRNA delivery efficiencies to various cancer cells, particularly colon cancer cells (≈71%). We further reprogram the PBNPs to deliver an immunotherapeutic mRNA cocktail to colon cancer cells, which elicits T cell responses in vitro. In vivo co-administration of the engineered PBNPs and chemodrug in female mice synergizes immune responses and promotes anti-cancer efficacy, implicating the potential of PBNPs as an RNA delivery vehicle for immunotherapy.

Indexed as

NanoparticlesNeoplasmsRNA, MessengerAnimalsCell Line, TumorColonic NeoplasmsFemaleHumansImmunotherapyMiceRNA, Messenger

Identifiers

PMID42285982
PMCPMC13407889

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.