Evidence map›Paper›PMID 23046982›Full record

ReviewJournal of translational medicine2012

Peptides as targeting probes against tumor vasculature for diagnosis and drug delivery.

Zhi Jie Li, Chi Hin Cho

Abstract readReview
In one paragraph

Review in Journal of translational medicine, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 41 papers.

0numbers the graph read from it
0cells of the map it votes in
41citing papers in PubMed
–field-weighted citation impact
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

41 citing papers in PubMed.

  1. Review
  2. Article
  3. Review
  4. Review
  5. Review
  6. Nanomedicine in cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  7. Article
  8. Article
  9. Article
  10. Peptide-Assisted Nucleic Acid Delivery Systems on the Rise.International journal of molecular sciences · 2021
    Review
  11. Review
  12. Article
  13. Molecular targeted treatment and drug delivery system for gastric cancer.Journal of cancer research and clinical oncology · 2021
    Review
  14. Application of Phage-Displayed Peptides in Tumor Imaging Diagnosis and Targeting Therapy.International journal of peptide research and therapeutics · 2021
    Review
  15. Review
  16. Review
  17. Article
  18. Review
  19. Article
  20. 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

2 authors.

Zhi Jie LiSchool of Biomedical Sciences, Faculty of Medicine, The Chinese University of Hong Kong, Hong Kong SAR. chcho@cuhk.edu.hk.
Chi Hin Cho

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Tumor vasculature expresses a distinct set of molecule signatures on the endothelial cell surface different from the resting blood vessels of other organs and tissues in the body. This makes them an attractive target for cancer therapy and molecular imaging. The current technology using the in vivo phage display biopanning allows us to quickly isolate and identify peptides potentially homing to various tumor blood vessels. Tumor-homing peptides in conjugation with chemotherapeutic drugs or imaging contrast have been extensively tested in various preclinical and clinical studies. These tumor-homing peptides have valuable potential as targeting probes for tumor molecular imaging and drug delivery. In this review, we summarize the recent advances about the applications of tumor-homing peptides selected by in vivo phage display library screening against tumor vasculature. We also introduce the characteristics of the latest discovered tumor-penetrating peptides in their potential clinical applications.

Indexed as

Drug Delivery SystemsAnimalsHumansMolecular ImagingNeoplasmsNeovascularization, PathologicPeptide LibraryPeptidesPeptide LibraryPeptides

Identifiers

PMID23046982
PMCPMC3445867

What OpenQuestion holds

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LicenceCC BY
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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.