Evidence map›Paper›PMID 31037134›Full record

ArticleTheranostics2019

MMP-2-Controlled Transforming Micelles for Heterogeneic Targeting and Programmable Cancer Therapy.

Zihua Wang, Yuehua Wang, Xiangqian Jia, Qiuju Han, Yixia Qian, Qian Li, Junfeng Xiang, Qian Wang, Zhiyuan Hu, Weizhi Wang

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Theranostics, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing papers in PubMed
2.3field-weighted citation impact, top 13% 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

16 citing papers in PubMed, 46 citations in OpenAlex.

  1. Self-Assembly of Peptides and Biomolecular Systems Into Functional Nanomaterials.Journal of peptide science : an official publication of the European Peptide Society · 2026
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  8. Advances in nanomaterial-based targeted drug delivery systems.Frontiers in bioengineering and biotechnology · 2023
    Review
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  12. 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

10 authors at 3 institutions in 1 country.

Zihua WangCenter for Neuroscience Research, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian Province, 350108, China.
Yuehua WangCAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China.
Xiangqian JiaCAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China.
Qiuju HanCAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China.
Yixia QianCAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China.
Qian LiInstitute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
Junfeng XiangInstitute of Chemistry, Chinese Academy of Sciences, Beijing 100190, China.
Qian WangDepartment of Diagnostic Imaging National Cancer Center/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College.
Zhiyuan HuCenter for Neuroscience Research, School of Basic Medical Sciences, Fujian Medical University, Fuzhou, Fujian Province, 350108, China.
Weizhi WangCAS Key Laboratory of Standardization and Measurement for Nanotechnology, CAS Key Laboratory for Biomedical Effects of Nanomaterials and Nanosafety, CAS Center for Excellence in Nanoscience, National Center for Nanoscience and Technology of China, Beijing 100190, China.
National Center for Nanoscience and Technology · CNInstitute of Chemistry · CNChinese Academy of Medical Sciences & Peking Union Medical College · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Herein, through the active-peptide-functionalization, we developed a nanoscale micelles system (named HEKM) which consists of tumor microenvironment-regulated shape-changing with specific recognition abilities for enhanced cellular targeting, internalization and therapy of heterogeneic tumors. As a result, HEKMs could recognize and bind the tumor heterogeneity marker EGFR-HER2 complex, which led to an enhanced tumor targeting effect. In particular, HEKMs could self-assemble into nanorods under normal physiological conditions while transform into nanospheres in the tumor extracellular microenvironment by a sensitive response to matrix metalloproteinase-2 (MMP-2). The nanorods could prolong the blood circulation time while the nanospheres could accelerate tissue penetration in tumors.

Indexed as

MicellesAnimalsAntineoplastic AgentsApoptosisCell Line, TumorDisease Models, AnimalDoxorubicinDrug CarriersErb-b2 Receptor Tyrosine KinasesErbB ReceptorsMatrix Metalloproteinase 2Mice, Inbred BALB CMice, NudeModels, TheoreticalMolecular Targeted TherapyNanotubesAntineoplastic AgentsDoxorubicinDrug CarriersEGFR protein, humanERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesErbB ReceptorsMatrix Metalloproteinase 2MicellesPeptidescancer therapydual-modal imagingMMP-2-controlledshape transformationspecific targeting peptide

Identifiers

PMID31037134
PMCPMC6485184
OpenAlexW2923015377

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.