Evidence map›Paper›PMID 26060399›Full record

ArticleInternational journal of nanomedicine2015

GX1-conjugated poly(lactic acid) nanoparticles encapsulating Endostar for improved in vivo anticolorectal cancer treatment.

Yang Du, Qian Zhang, Lijia Jing, Xiaolong Liang, Chongwei Chi, Yaqian Li, Xin Yang, Zhifei Dai, Jie Tian

Open access · goldAbstract read
In one paragraph

Article in International journal of nanomedicine, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

13 citing papers in PubMed, 31 citations in OpenAlex.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Review
  6. Endostatin in Renal and Cardiovascular Diseases.Kidney diseases (Basel, Switzerland) · 2021
    Review
  7. Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Review
  13. Review
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 1 institution in 1 country.

Yang DuKey laboratory of Molecular Imaging, The state Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China.
Qian ZhangKey laboratory of Molecular Imaging, The state Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China.
Lijia JingDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing People's Republic of China.
Xiaolong LiangDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing People's Republic of China.
Chongwei ChiKey laboratory of Molecular Imaging, The state Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China.
Yaqian LiKey laboratory of Molecular Imaging, The state Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China.
Xin YangKey laboratory of Molecular Imaging, The state Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China.
Zhifei DaiDepartment of Biomedical Engineering, College of Engineering, Peking University, Beijing People's Republic of China.
Jie TianKey laboratory of Molecular Imaging, The state Key Laboratory of Management and Control for Complex Systems, Institute of Automation, Chinese Academy of Sciences, Beijing, People's Republic of China.
Peking University · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor angiogenesis plays a key role in tumor growth and metastasis; thus, targeting tumor-associated angiogenesis is an important goal in cancer therapy. However, the efficient delivery of drugs to tumors remains a key issue in antiangiogenesis therapy. GX1, a peptide identified by phage-display technology, is a novel tumor vasculature endothelium-specific ligand and possesses great potential as a targeted vector and antiangiogenic agent in the diagnosis and treatment of human cancers. Endostar, a novel recombinant human endostatin, has been shown to inhibit tumor angiogenesis. In this study, we developed a theranostic agent composed of GX1-conjugated poly(lactic acid) nanoparticles encapsulating Endostar (GPENs) and labeled with the near-infrared dye IRDye 800CW to improve colorectal tumor targeting and treatment efficacy in vivo. The in vivo fluorescence molecular imaging data showed that GPENs (IRDye 800CW) more specifically targeted tumors than free IRDye 800CW in colorectal tumor-bearing mice. Moreover, the antitumor efficacy was evaluated by bioluminescence imaging and immunohistology, revealing that GPENs possessed improved antitumor efficacy on subcutaneous colorectal xenografts compared to other treatment groups. Thus, our study showed that GPENs, a novel GX1 peptide guided form of nanoscale Endostar, can be used as a theranostic agent to facilitate more efficient targeted therapy and enable real-time monitoring of therapeutic efficacy in vivo.

Indexed as

NanoparticlesAngiogenesis InhibitorsAnimalsBenzenesulfonatesCell Line, TumorColorectal NeoplasmsEndostatinsFluorescenceHumansIndolesLactic AcidMaleMiceMice, Inbred BALB CMice, NudeMolecular ImagingAngiogenesis InhibitorsBenzenesulfonatesendostar proteinEndostatinsIndolesIRDye 800CWLactic AcidPeptidesPolyesterspoly(lactide)PolymersRecombinant Proteinsangiogenesiscolorectal cancerEndostarGX1 peptideIRDye 800CWmolecular imaging

Identifiers

PMID26060399
PMCPMC4454195
OpenAlexW1703240737

What OpenQuestion holds

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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.