Evidence map›Paper›PMID 34689761›Full record

ArticleJournal of nanobiotechnology2021

Tumor microenvironment-activated cancer cell membrane-liposome hybrid nanoparticle-mediated synergistic metabolic therapy and chemotherapy for non-small cell lung cancer.

Wei Zhang, Chunai Gong, Ziqiang Chen, Ming Li, Yuping Li, Jing Gao

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing papers in PubMed
4.9field-weighted citation impact, top 3% 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

64 citing papers in PubMed, 103 citations in OpenAlex.

  1. Article
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  6. Decoding Undesirable Inflammatory Responses of Nucleic Acid-Delivering Lipid Nanoparticles.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2026
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4 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 2 countries.

Wei Zhang *Department of Pharmacy, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China.
Chunai Gong *Department of Pharmacy, Shanghai Ninth People's Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, 201999, China.
Ziqiang Chen *Department of Orthopaedic, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Ming LiDepartment of Orthopaedic, Shanghai Changhai Hospital, Naval Medical University, Shanghai, 200433, China.
Yuping LiDepartment of Pharmacy, Shanghai Pulmonary Hospital, Tongji University School of Medicine, Shanghai, 200433, China. grace_li_2020@126.com.
Jing GaoState Key Laboratory of Toxicology and Medical Countermeasures, Beijing Institute of Pharmacology and Toxicology, Beijing, 100850, China. ammsgj@126.com.ORCID http://orcid.org/0000-0002-0251-3008
Second Military Medical University · CNTongji University · CNInstitute of Pharmacology · CZShanghai Jiao Tong University · CN

Funding

national natural science foundation of china 81903141
6 · The paper itself

Abstract

backgroundBiomimetic nanotechnology-based RNA interference (RNAi) has been successful in improving theranostic efficacy in malignant tumors. Its integration with hybrid biomimetic membranes made of natural cell membranes fused with liposomal membranes is mutually beneficial and extends their biofunctions. However, limited research has focused on engineering such biomimetics to endow them with unique properties and functions, in particular, those essential for a "smart" drug delivery system, such as a tumor microenvironment (TME)-activated multifunctional biomimetic nanoplatform.

resultsHerein, we utilized an integrated hybrid nanovesicle composed of cancer cell membranes (Cm) and matrix metallopeptidase 9 (MMP-9)-switchable peptide-based charge-reversal liposome membranes (Lipm) to coat lipoic acid-modified polypeptides (LC) co-loaded with phosphoglycerate mutase 1 (PGAM1) siRNA (siPGAM1) and DTX. The nanovesicle presented a negatively charged coating (citraconic anhydride-grafted poly-L-lysine, PC) in the middle layer for pH-triggered charge conversion functionalization. The established chemotherapeutic drug (DTX) co-delivery system CLip-PC@CO-LC nanoparticles (NPs) have a particle size of ~ 193 nm and present the same surface proteins as the Cm. Confocal microscopy and flow cytometry results indicated a greater uptake of MMP-9-treated CLip-PC@CO-LC NPs compared with that of the CLip-PC@CO-LC NPs without MMP-9 pretreatment. The exposure to MMP-9 activated positively charged cell-penetrating peptides on the surface of the hybrid nanovesicles. Moreover, pH triggered membrane disruption, and redox triggered DTX and siRNA release, leading to highly potent target-gene silencing in glycolysis and chemotherapy with enhanced antiproliferation ability. The biodistribution results demonstrated that the CLip-PC@LC-DiR NPs accumulated in the tumor owing to a combination of long blood retention time, homologous targeting ability, and TME-activated characteristics. The CLip-PC@CO-LC NPs led to more effective tumor growth inhibition than the DTX and free siPGAM1 formulations.

conclusionsTME-activated cancer cell membrane-liposome integrated hybrid NPs provide an encouraging nanoplatform that combines RNAi with chemotherapy for precise treatment of non-small cell lung cancer.

Indexed as

Antineoplastic AgentsBiomimetic MaterialsLiposomesA549 CellsAnimalsCarcinoma, Non-Small-Cell LungCell MembraneDrug Delivery SystemsGlycolysisHumansLung NeoplasmsMiceMice, NudeNanoparticlesTumor MicroenvironmentAntineoplastic AgentsLiposomesBiomimetic nanoparticlesChemotherapyGlycolysisHybrid nanovesicleNon-small cell lung cancerTumor microenvironment activated

Identifiers

PMID34689761
PMCPMC8543810
OpenAlexW3214613067

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.