Evidence map›Paper›PMID 42098773›Full record

ArticleJournal of nanobiotechnology2026

Tumor-targeted liposomal RNAi therapy suppresses breast cancer and modulates tumor microenvironment.

Sujeong Lee, Seung Hee Choi, Hui Bang Cho, Chae Won Cho, Jungsun Lee, Gyuwon So, Hye Jin Kim, Kyung-Soon Park, Keun-Hong Park

Abstract read
In one paragraph

Article in Journal of nanobiotechnology, 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

9 authors.

Sujeong Lee *Laboratory of Nano-regenerative Medicine, Department of Biomedical Science, College of Life Science, CHA University, CHA Biocomplex, Sampyeong-Dong, Bundang-gu, Seongnam-si, 13488, Republic of Korea.
Seung Hee Choi *Laboratory of Immunooncology, Department of Biomedical Science, CHA University, Seongnam, Republic of Korea.
Hui Bang ChoLaboratory of Nano-regenerative Medicine, Department of Biomedical Science, College of Life Science, CHA University, CHA Biocomplex, Sampyeong-Dong, Bundang-gu, Seongnam-si, 13488, Republic of Korea.
Chae Won ChoLaboratory of Nano-regenerative Medicine, Department of Biomedical Science, College of Life Science, CHA University, CHA Biocomplex, Sampyeong-Dong, Bundang-gu, Seongnam-si, 13488, Republic of Korea.
Jungsun LeeLaboratory of Nano-regenerative Medicine, Department of Biomedical Science, College of Life Science, CHA University, CHA Biocomplex, Sampyeong-Dong, Bundang-gu, Seongnam-si, 13488, Republic of Korea.
Gyuwon SoLaboratory of Nano-regenerative Medicine, Department of Biomedical Science, College of Life Science, CHA University, CHA Biocomplex, Sampyeong-Dong, Bundang-gu, Seongnam-si, 13488, Republic of Korea.
Hye Jin KimLaboratory of Nano-regenerative Medicine, Department of Biomedical Science, College of Life Science, CHA University, CHA Biocomplex, Sampyeong-Dong, Bundang-gu, Seongnam-si, 13488, Republic of Korea. khye4680@naver.com.
Kyung-Soon ParkLaboratory of Immunooncology, Department of Biomedical Science, CHA University, Seongnam, Republic of Korea. kspark@cha.ac.kr.
Keun-Hong ParkLaboratory of Nano-regenerative Medicine, Department of Biomedical Science, College of Life Science, CHA University, CHA Biocomplex, Sampyeong-Dong, Bundang-gu, Seongnam-si, 13488, Republic of Korea. pkh0410@cha.ac.kr.

Funding

National Research Foundation of Korea NRF- 2022R1C1C2005248National Research Foundation of Korea RS-2019-NR40073
6 · The paper itself

Abstract

Liposomes are widely used nanocarriers, but their clinical translation remains limited by poor tumor selectivity and inefficient nucleic acid delivery. To address these challenges, we designed multifunctional liposomes incorporating phenylboronic acid (PBA) for tumor targeting, ginsenoside Rh2 (Rh2) as both a cholesterol-mimetic stabilizer and intrinsic anticancer agent, and small interfering RNA against vascular endothelial growth factor (VEGF). VEGF was selected for its pivotal role in tumor angiogenesis and to counteract the paradoxical pro-angiogenic effect of Rh2. PBA-modified liposomes exhibited enhanced tumor accumulation and cellular uptake compared with non-targeted controls. Rh2 induced direct cytotoxicity, while VEGF silencing further suppressed angiogenesis together producing synergistic antitumor activity. In vivo, Rh2-PBA-siVEGF liposomes (RhPLIPO-siVEGF) and Rh2-PBA-Negative Control siRNA (siNC) liposomes (RhPLIPO-siNC) were evaluated in a 4T1 orthotopic breast tumor model. Both formulations elicited effects characterized by increased infiltration of T cells and M1 macrophages. Notably, RhPLIPO-siVEGF treatment significantly reduced tumor growth and microvascular density compared with RhPLIPO-siNC, confirming synergy between Rh2-mediated cytotoxicity and VEGF knockdown. Overall, this multifunctional liposomal system integrates tumor targeting, intrinsic cytotoxicity, and RNA interference-mediated anti-angiogenesis with minimal adverse effects, offering a potent and versatile nanoplatform for targeted breast cancer therapy.

Indexed as

Breast NeoplasmsLiposomesRNAi TherapeuticsTumor MicroenvironmentAnimalsAntineoplastic AgentsBoronic AcidsCell Line, TumorFemaleGinsenosidesHumansMiceMice, Inbred BALB CNeovascularization, PathologicRNA InterferenceRNA, Small InterferingAntineoplastic Agentsbenzeneboronic acidBoronic Acidsginsenoside Rh2GinsenosidesLiposomesRNA, Small InterferingVascular Endothelial Growth Factor AGinsenoside Rh2ImmunomodulationMultifunctional liposomesPhenylboronic acid (PBA)SiRNA targeting VEGF (siVEGF)Triple-negative breast cancer

Identifiers

PMID42098773
PMCPMC13321574

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.