Evidence map›Paper›PMID 39935791›Full record

ArticleBiomaterials research2025

Lipid Nanoparticle Delivery System for Normalization of Tumor Microenvironment and Tumor Vascular Structure.

Heejin Ha, Yonghyun Choi, Na-Hyeon Kim, Jiwon Kim, Jaehee Jang, Tagbo H R Niepa, Masayoshi Tanaka, Hee-Young Lee, Jonghoon Choi

Abstract read
In one paragraph

Article in Biomaterials research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Review
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  6. 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

9 authors.

Heejin HaSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Yonghyun ChoiSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Na-Hyeon KimDepartment of Chemical Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea.
Jiwon KimSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Jaehee JangSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.
Tagbo H R NiepaDepartment of Chemical Engineering, Carnegie Mellon University, Pittsburgh, PA, USA.
Masayoshi TanakaDepartment of Chemical Science and Engineering, Institute of Science Tokyo, Kanagawa 226-8503, Japan.
Hee-Young LeeDepartment of Chemical Engineering, Kumoh National Institute of Technology, Gumi 39177, Korea.
Jonghoon ChoiSchool of Integrative Engineering, Chung-Ang University, Seoul 06974, Republic of Korea.ORCID https://orcid.org/0000-0003-3554-7033

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumors grow by receiving oxygen and nutrients from the surrounding blood vessels, leading to rapid angiogenesis. This results in functionally and structurally abnormal vasculature characterized by high permeability and irregular blood flow, causing hypoxia within the tumor microenvironment (TME). Hypoxia exacerbates the secretion of pro-angiogenic factors such as vascular endothelial growth factor (VEGF), further perpetuating abnormal vessel formation. This environment compromises the efficacy of radiotherapy, immunotherapy, and chemotherapy. In this study, we developed a pH-sensitive liposome (PSL) system, termed OD_PSL@AKB, to co-deliver oxygen (OD) and razuprotafib (AKB-9778) to tumors. This system rapidly responds to the acidic TME to alleviate hypoxia and inhibit VEGF secretion, restoring VE-cadherin expression in hypoxic endothelial cell/cancer cell cocultures. Our findings highlight the potential of OD_PSL@AKB in normalizing tumor vasculature and improving therapeutic efficacy.

Identifiers

PMID39935791
PMCPMC11811622

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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.