Evidence map›Paper›PMID 38520717›Full record

ArticleAdvanced science (Weinheim, Baden-Wurttemberg, Germany)2024

Design of PD-L1-Targeted Lipid Nanoparticles to Turn on PTEN for Efficient Cancer Therapy.

Yelee Kim, Jiwoong Choi, Eun Hye Kim, Wonbeom Park, Hochung Jang, Yeongji Jang, Sung-Gil Chi, Dae-Hyuk Kweon, Kyuri Lee, Sun Hwa Kim and 1 more

Open access · goldAbstract read
In one paragraph

Article in Advanced science (Weinheim, Baden-Wurttemberg, Germany), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 37 papers.

0numbers the graph read from it
0cells of the map it votes in
37citing papers in PubMed
10.1field-weighted citation impact, top 1% of its field
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

37 citing papers in PubMed, 43 citations in OpenAlex.

  1. Article
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  4. Exosome-mediated siRNA delivery in cancer: Loading strategies, targeting approaches, and therapeutic outcomes.Daru : journal of Faculty of Pharmacy, Tehran University of Medical Sciences · 2026
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  7. Endogenous targeting lipid nanoparticles for systemic mRNA delivery to lung cancer tumors.Journal of controlled release : official journal of the Controlled Release Society · 2026
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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

11 authors at 5 institutions in 1 country.

Yelee KimBiomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Jiwoong ChoiBiomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Eun Hye KimBiomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Wonbeom ParkDepartment of Integrative Biotechnology, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Hochung JangBiomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Yeongji JangBiomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Sung-Gil ChiDepartment of Life Sciences, Korea University, Seoul, 02841, Republic of Korea.
Dae-Hyuk KweonDepartment of Integrative Biotechnology, Sungkyunkwan University, Suwon, 16419, Republic of Korea.
Kyuri LeeCollege of Pharmacy and Research Institute of Pharmaceutical Sciences, Gyeongsang National University, Jinju, 52828, Republic of Korea.
Sun Hwa KimBiomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.
Yoosoo YangBiomedical Research Division, Korea Institute of Science and Technology (KIST), Seoul, 02792, Republic of Korea.ORCID 0000-0003-3279-4362
Korea University · KRBio-Medical Science (South Korea) · KRSungkyunkwan University · KRGyeongsang National University · KRKorea Institute of Science and Technology · KR

Funding

Intramural Research Program of the Korea Institute of Science and Technology 2V09840-23-P024Korean government (MSIT)KU-KIST Graduate School of Converging Science and Technology 2V09840-23-P024Mid-Career Researcher Program NRF-2022R1A2C2006861National Research Foundation
6 · The paper itself

Abstract

Lipid nanoparticles (LNPs) exhibit remarkable mRNA delivery efficiency, yet their majority accumulate in the liver or spleen after injection. Tissue-specific mRNA delivery can be achieved through modulating LNP properties, such as tuning PEGylation or varying lipid components systematically. In this paper, a streamlined method is used for incorporating tumor-targeting peptides into the LNPs; the programmed death ligand 1 (PD-L1) binding peptides are conjugated to PEGylated lipids via a copper-free click reaction, and directly incorporated into the LNP composition (Pep LNPs). Notably, Pep LNPs display robust interaction with PD-L1 proteins, which leads to the uptake of LNPs into PD-L1 overexpressing cancer cells both in vitro and in vivo. To evaluate anticancer immunotherapy mediated by restoring tumor suppressor, mRNA encoding phosphatase and tensin homolog (PTEN) is delivered via Pep LNPs to PTEN-deficient triple-negative breast cancers (TNBCs). Pep LNPs loaded with PTEN mRNA specifically promotes autophagy-mediated immunogenic cell death in 4T1 tumors, resulting in effective anticancer immune responses. This study highlights the potential of tumor-targeted LNPs for mRNA-based cancer therapy.

Indexed as

B7-H1 AntigenNanoparticlesPTEN PhosphohydrolaseAnimalsCell Line, TumorDisease Models, AnimalFemaleHumansImmunotherapyLipidsLiposomesMiceMice, Inbred BALB CTriple Negative Breast NeoplasmsB7-H1 AntigenCD274 protein, humanLipid NanoparticlesLipidsLiposomesPTEN PhosphohydrolasePTEN protein, humancancer immunotherapylipid nanoparticlemRNA deliverytumor‐targeted delivery

Identifiers

PMID38520717
PMCPMC11165541
OpenAlexW4393110842

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.