Evidence map›Paper›PMID 38478602›Full record

ArticleScience advances2024

Lymph-targeted high-density lipoprotein-mimetic nanovaccine for multi-antigenic personalized cancer immunotherapy.

Mingqi Liu, Yang Feng, Yougong Lu, Renqi Huang, Ying Zhang, Yanan Zhao, Ran Mo

Open access · goldAbstract read
In one paragraph

Article in Science advances, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 31 papers.

0numbers the graph read from it
0cells of the map it votes in
31citing papers in PubMed
15.9field-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

31 citing papers in PubMed, 66 citations in OpenAlex.

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  12. Nanovaccines for lung cancer: Platforms, mechanistic insights, and translational challenges.Chinese medical journal pulmonary and critical care medicine · 2026
    Review
  13. Construction of a localized immune nicheActa pharmaceutica Sinica. B · 2026
    Article
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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

7 authors at 1 institution in 1 country.

Mingqi LiuState Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases and Jiangsu Key Laboratory of Drug Design and Optimization, Center of Advanced Pharmaceuticals and Biomaterials, School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China.ORCID 0009-0000-5434-2469
Yang FengState Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases and Jiangsu Key Laboratory of Drug Design and Optimization, Center of Advanced Pharmaceuticals and Biomaterials, School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China.
Yougong LuState Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases and Jiangsu Key Laboratory of Drug Design and Optimization, Center of Advanced Pharmaceuticals and Biomaterials, School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China.ORCID 0009-0001-7318-2226
Renqi HuangState Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases and Jiangsu Key Laboratory of Drug Design and Optimization, Center of Advanced Pharmaceuticals and Biomaterials, School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China.
Ying ZhangState Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases and Jiangsu Key Laboratory of Drug Design and Optimization, Center of Advanced Pharmaceuticals and Biomaterials, School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China.
Yanan ZhaoState Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases and Jiangsu Key Laboratory of Drug Design and Optimization, Center of Advanced Pharmaceuticals and Biomaterials, School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China.
Ran MoState Key Laboratory of Natural Medicines, Jiangsu Key Laboratory of Drug Discovery for Metabolic Diseases and Jiangsu Key Laboratory of Drug Design and Optimization, Center of Advanced Pharmaceuticals and Biomaterials, School of Life Science and Technology, China Pharmaceutical University, Nanjing 211198, China.ORCID 0000-0003-4010-8879
China Pharmaceutical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Cancer vaccines show huge potential for cancer prevention and treatment. However, their efficacy remains limited due to weak immunogenicity regarding inefficient stimulation of cytotoxic T lymphocyte (CTL) responses. Inspired by the unique characteristic and biological function of high-density lipoprotein (HDL), we here develop an HDL-mimicking nanovaccine with the commendable lymph-targeted capacity to potently elicit antitumor immunity using lipid nanoparticle that is co-loaded with specific cancer cytomembrane harboring a collection of tumor-associated antigens and an immune adjuvant. The nanoparticulate impact is explored on the efficiency of lymphatic targeting and dendritic cell uptake. The optimized nanovaccine promotes the co-delivery of antigens and adjuvants to lymph nodes and maintains antigen presentation of dendritic cells, resulting in long-term immune surveillance as the elevated frequency of CTLs within lymphoid organs and tumor tissue. Immunization of nanovaccine suppresses tumor formation and growth and augments the therapeutic efficacy of checkpoint inhibitors notably on the high-stemness melanoma in the mouse models.

Indexed as

MelanomaNanoparticlesNeoplasmsAdjuvants, ImmunologicAnimalsAntigens, NeoplasmImmunotherapyMiceMice, Inbred C57BLNanovaccinesT-Lymphocytes, CytotoxicAdjuvants, ImmunologicAntigens, NeoplasmNanovaccines

Identifiers

PMID38478602
PMCPMC10936870
OpenAlexW4392778002

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC
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.