Evidence map›Paper›PMID 37528426›Full record

ArticleJournal of nanobiotechnology2023

Effective treatment of metastatic sentinel lymph nodes by dual-targeting melittin nanoparticles.

Yanfeng Dai, Xiang Yu, Yuehong Leng, Xingzhou Peng, Junjie Wang, Yifan Zhao, Juan Chen, Zhihong Zhang

Open access · goldAbstract read
In one paragraph

Article in Journal of nanobiotechnology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed, 1 pooled it
1.8field-weighted citation impact, top 16% 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

11 citing papers in PubMed, 1 synthesis or guideline pooled it, 16 citations in OpenAlex.

  1. Pooled it
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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

8 authors at 5 institutions in 2 countries.

Yanfeng DaiState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, 570228, Hainan, China.
Xiang YuState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, 570228, Hainan, China.
Yuehong LengBritton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
Xingzhou PengState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, 570228, Hainan, China.
Junjie WangBritton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
Yifan ZhaoBritton Chance Center and MoE Key Laboratory for Biomedical Photonics, Wuhan National Laboratory for Optoelectronics-Huazhong University of Science and Technology, Wuhan, 430074, Hubei, China.
Juan ChenPrincess Margaret Cancer Centre, University Health Network, 101 College Street, Toronto, Canada.
Zhihong ZhangState Key Laboratory of Digital Medical Engineering, School of Biomedical Engineering, Hainan University, Haikou, 570228, Hainan, China. zhzhang@hainanu.edu.cn.
Hainan University · CNHuazhong University of Science and Technology · CNHainan Medical University · CNPrincess Margaret Cancer Centre · CAWuhan National Laboratory for Optoelectronics · CN

Funding

111 Project D22022Hainan Provincial Joint Project of Sanya Yazhou Bay Science and Technology City 820LH026National Natural Science Foundation of China 32201131the China Postdoctoral Science Foundation 2022M710990the Hainan University Scientific Research Foundation KYQD(ZR)20078
6 · The paper itself

Abstract

Sentinel lymph node (SLN) metastasis is an important promoter of distant metastasis in breast cancer. Therefore, the timely diagnosis and precise treatment are crucial for patient staging and prognosis. However, the simultaneous diagnosis of metastasis and the implementation of imaging-guided SLN therapy is challenging. Here, we report a melittin-loaded and hyaluronic acid (HA)-conjugated high-density lipoprotein (HDL) mimic phospholipid scaffold nanoparticle (MLT-HA-HPPS), which dually-target to both breast cancer and its SLN and efficiently inhibit SLN metastasis in the LN metastasis model. The melittin peptide was successfully loaded onto HA-HPPS via electrostatic interactions, and MLT-HA-HPPS possesses effective cytotoxicity for breast cancer 4T1 cells. Moreover, the effective delivery of MLT-HA-HPPS from the primary tumor into SLN is monitored by NIR fluorescence imaging, which greatly benefits the prognosis and treatment of metastatic SLNs. After paracancerous administration, MLT-HA-HPPS can efficiently inhibit primary tumor growth with an inhibition rate of 81.3% and 76.5% relative to the PBS-treated control group and HA-HPPS group, respectively. More importantly, MLT-HA-HPPS can effectively inhibit the growth of the metastatic SLNs with an approximately 78.0%, 79.1%, and 64.2% decrease in SLNs weight than those in PBS, HA-HPPS, and melittin-treated mice, respectively. Taken together, the MLT-HA-HPPS may provide an encouraging theranostic of SLN drug delivery strategy to inhibit primary tumor progression and prevent SLN metastasis of breast cancer.

Indexed as

NanoparticlesSentinel Lymph NodeAnimalsLymphatic MetastasisLymph NodesMelittenMiceSentinel Lymph Node BiopsySuccinimidesMelittenN-succinimidyl-3-(4-hydroxyphenyl)propionateSuccinimidesBreast cancerMelittinMetastasisNanoparticlesSentinel lymph nodeTargeted therapy

Identifiers

PMID37528426
PMCPMC10391974
OpenAlexW4385457521

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.