Multifunctional biomimetic liposomal nucleic acid scavengers inhibit the growth and metastasis of breast cancer

Chemotherapy and surgery, though effective in cancer treatment, trigger the release of nucleic acid-containing pro-inflammatory compounds from damaged tumor cells, known as nucleic acid-associated damage-associated molecular patterns (NA-DAMPs). This inflammation promotes tumor metastasis, and currently, no effective treatment exists for this treatment-induced inflammation and subsequent tumor metastasis. To address this challenge, we developed a biomimetic liposome complex (Lipo-Rh<sub>2</sub>) incorporating a hybrid structure of liposomes and dendritic polymers, mimicking cell membrane morphology. Lipo-Rh<sub>2</sub> leverages the multivalent surface properties of dendritic polymers to clear cell-free nucleic acids while serving as both a structural stabilizer and targeting ligand <i>via</i> embedded ginsenoside Rh<sub>2</sub>. Experimental data show that Lipo-Rh<sub>2</sub> effectively reduces free nucleic acids in mouse serum through charge interactions, downregulates Toll-like receptor expression, decreases inflammatory cytokine secretion, and inhibits both primary tumor growth and metastasis. Compared to the current nucleic acid scavenger PAMAM-G3, Lipo-Rh<sub>2</sub> demonstrates stronger antitumor effects, lower toxicity, and enhanced targeting capabilities. This biomimetic liposome-based nucleic acid scavenger represents a novel approach to nucleic acid clearance, expanding the framework for designing effective therapeutic agents.

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Publication Details

Journal
Biomaterials Science
Published
2025-01-01
DOI
https://doi.org/10.1039/d4bm01721h
Citations
3
Primary Topic
RNA Interference and Gene Delivery
Type
article
Field-Weighted Citation Impact
2.42
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article

Multifunctional biomimetic liposomal nucleic acid scavengers inhibit the growth and metastasis of breast cancer

Yan‐Wei Hu, Zhenwei Yuan, Kaizhen Wang, Xiaoliang Wang et al.
3 citations
Biomaterials Science
RNA Interference and Gene Delivery
2.42
article

Multifunctional biomimetic liposomal nucleic acid scavengers inhibit the growth and metastasis of breast cancer

Yan‐Wei Hu, Zhenwei Yuan, Kaizhen Wang, Xiaoliang Wang, Dawei Deng, Xin Liu, Yuhang Miao
article en
3 citations

Abstract

Chemotherapy and surgery, though effective in cancer treatment, trigger the release of nucleic acid-containing pro-inflammatory compounds from damaged tumor cells, known as nucleic acid-associated damage-associated molecular patterns (NA-DAMPs). This inflammation promotes tumor metastasis, and currently, no effective treatment exists for this treatment-induced inflammation and subsequent tumor metastasis. To address this challenge, we developed a biomimetic liposome complex (Lipo-Rh<sub>2</sub>) incorporating a hybrid structure of liposomes and dendritic polymers, mimicking cell membrane morphology. Lipo-Rh<sub>2</sub> leverages the multivalent surface properties of dendritic polymers to clear cell-free nucleic acids while serving as both a structural stabilizer and targeting ligand <i>via</i> embedded ginsenoside Rh<sub>2</sub>. Experimental data show that Lipo-Rh<sub>2</sub> effectively reduces free nucleic acids in mouse serum through charge interactions, downregulates Toll-like receptor expression, decreases inflammatory cytokine secretion, and inhibits both primary tumor growth and metastasis. Compared to the current nucleic acid scavenger PAMAM-G3, Lipo-Rh<sub>2</sub> demonstrates stronger antitumor effects, lower toxicity, and enhanced targeting capabilities. This biomimetic liposome-based nucleic acid scavenger represents a novel approach to nucleic acid clearance, expanding the framework for designing effective therapeutic agents.

Biomaterials ScienceVol. 13(9)
China Pharmaceutical University (CN)
Good health and well-being
Openalex Percentile: Top 12%
RNA Interference and Gene Delivery
2.42
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Multifunctional biomimetic liposomal nucleic acid scavengers inhibit the growth and metastasis of breast cancer — Yan‐Wei Hu, Zhenwei Yuan, et al. · Biomaterials Science (2025) | TGRS Research Map | TGRS