Evidence map›Paper›PMID 33658783›Full record

ArticleInternational journal of nanomedicine2021

Immunotherapy of Tumor RNA-Loaded Lipid Nanoparticles Against Hepatocellular Carcinoma.

Yake Zhang, Fangyuan Xie, You Yin, Qin Zhang, Hong Jin, Yan Wu, Liying Pang, Jun Li, Jie Gao

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 29 papers.

0numbers the graph read from it
0cells of the map it votes in
29citing papers in PubMed
3.0field-weighted citation impact, top 7% 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

29 citing papers in PubMed, 55 citations in OpenAlex.

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  6. The Immune Microenvironment in Liver Cancer: From Analysis to Targeting.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
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  20. Potential of siRNA in COVID-19 therapy: Emphasis onFrontiers in bioengineering and biotechnology · 2023
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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

9 authors at 5 institutions in 1 country.

Yake Zhang *Institute of Translational Medicine, Shanghai University, Shanghai, 200444, People's Republic of China.
Fangyuan Xie *Department of Pharmacy, Shanghai Eastern Hepatobiliary Surgery Hospital, Shanghai, 200438, People's Republic of China.
You Yin *Department of Neurology, Changzheng Hospital, Second Military Medical University, Shanghai, 200003, People's Republic of China.
Qin Zhang *Institute of Translational Medicine, Shanghai University, Shanghai, 200444, People's Republic of China.
Hong JinDepartment of Laboratory Medicine, Hongqi Hospital of Mudanjiang Medical College, Mudanjiang, 157011, People's Republic of China.
Yan WuHeilongjiang Key Laboratory of Anti-Fibrosis Biotherapy, Mudanjiang Medical College, Mudanjiang, 157011, People's Republic of China.
Liying PangThe First Clinical Medical College of Mudanjiang Medical College, Mudanjiang, 157011, People's Republic of China.
Jun LiLaboratory of Drug Discovery and Design, School of Pharmacy, Liaocheng University, Liaocheng, 252000, People's Republic of China.
Jie GaoInstitute of Translational Medicine, Shanghai University, Shanghai, 200444, People's Republic of China.
Mudanjiang Medical University · CNShanghai University · CNEastern Hepatobiliary Surgery Hospital · CNLiaocheng University · CNSecond Military Medical University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeHepatocellular carcinoma (HCC) is one of the leading causes of cancer-related deaths worldwide. Most current therapeutic strategies primarily include localized treatment, lacking effective systemic strategies. Meanwhile, recent studies have suggested that RNA vaccines can effectively activate antigen-presenting cells (APCs) and lymphocytes to produce a strong systemic immune response and inhibit tumor growth. However, tumor vaccines loaded with a single tumor antigen may induce immunosuppression and immune evasion, while identifying tumor-specific antigens can require expensive and laborious procedures. Therefore, the use of whole tumor cell antigens are currently considered to be promising, potentially effective, methods. Previously, we developed a targeted liposome-polycation-DNA (LPD) complex nanoparticle that possess a small size, high RNA encapsulation efficiency, and superior serum stability. These particles were found to successfully deliver RNA to tumor sites. In the current study, we encapsulated total tumor-derived RNA in lipid nanoparticles (LNPs) to target dendritic cells (DCs) to incite expeditious and robust anti-tumor immunity.

methodsTotal tumor-derived RNA was extracted from liver cancer cells (Hepa1-6 cells). LNPs loaded with tumor RNA were then prepared thin-film hydration method. The ability of RNA LNPs to induce DC maturation, cytotoxicity, and anti-tumor activity, was investigated in vitro and in vivo.

resultsThe average particle size of LNPs and RNA LNPs was 102.22 ± 4.05 nm and 209.68 ± 6.14 nm, respectively, while the zeta potential was 29.97 ± 0.61 mV and 42.03 ± 0.42 mV, respectively. Both LNPs and RNA LNP vaccines exhibited good distribution and stability. In vitro, RNA LNP vaccines were capable of promoting DC maturation and inducing T lymphocytes to kill Hepa1-6 cells. In vivo, RNA LNP vaccines effectively prevent and inhibit HCC growth.

conclusionRNA LNPs may serve as an effective antigen specific vaccine to induce anti-tumor immunity for HCC.

Indexed as

ImmunotherapyAnimalsCancer VaccinesCarcinoma, HepatocellularCell Line, TumorDendritic CellsHumansLipidsLiver NeoplasmsLymphocyte ActivationMaleMiceMice, Inbred C57BLNanoparticlesParticle SizeRNA, NeoplasmCancer VaccinesLipidsRNA, Neoplasmcancer immunotherapydendritic cellsRNA lipid nanoparticlestumor vaccine

Identifiers

PMID33658783
PMCPMC7920588
OpenAlexW3133276574

What OpenQuestion holds

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LicenceCC BY-NC
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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.