Evidence map›Paper›PMID 27210583›Full record

ReviewAdvanced drug delivery reviews2017

Tumor-targeting peptides from combinatorial libraries.

Ruiwu Liu, Xiaocen Li, Wenwu Xiao, Kit S Lam

Erratum issuedAbstract readReview
In one paragraph

Review in Advanced drug delivery reviews, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 64 papers.

0numbers the graph read from it
0cells of the map it votes in
64citing 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

64 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Review
  11. Review
  12. Ascorbate: a forgotten component in the cytotoxicity of Cu(II) ATCUN peptide complexes.Journal of biological inorganic chemistry : JBIC : a publication of the Society of Biological Inorganic Chemistry · 2024
    Article
  13. Article
  14. Review
  15. Review
  16. Review
  17. Article
  18. Article
  19. Article
  20. Review

4 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

4 authors.

Ruiwu LiuDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA 95817, USA; University of California Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA.
Xiaocen LiDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA 95817, USA; University of California Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA.
Wenwu XiaoDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA 95817, USA; University of California Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA.
Kit S LamDepartment of Biochemistry and Molecular Medicine, University of California Davis, Sacramento, CA 95817, USA; University of California Davis Comprehensive Cancer Center, Sacramento, CA 95817, USA; Division of Hematology & Oncology, Department of Internal Medicine, University of California Davis, Sacramento, CA 95817, USA.

Funding

Therapeutic Targeting Agents for Ovarian CancerR01CA115483 · NCI · UNIVERSITY OF CALIFORNIA DAVIS · PI LAM, KIT S · 2005 to 2019
$5.5M
Dual imaging and therapeutic targeting agents for glioblastomaR21CA135345 · NCI · UNIVERSITY OF CALIFORNIA AT DAVIS · PI LIU, RUIWU · 2008 to 2009
$376k
NCI NIH HHS R01 CA115483NCI NIH HHS R21 CA135345
6 · The paper itself

Abstract

Cancer is one of the major and leading causes of death worldwide. Two of the greatest challenges in fighting cancer are early detection and effective treatments with no or minimum side effects. Widespread use of targeted therapies and molecular imaging in clinics requires high affinity, tumor-specific agents as effective targeting vehicles to deliver therapeutics and imaging probes to the primary or metastatic tumor sites. Combinatorial libraries such as phage-display and one-bead one-compound (OBOC) peptide libraries are powerful approaches in discovering tumor-targeting peptides. This review gives an overview of different combinatorial library technologies that have been used for the discovery of tumor-targeting peptides. Examples of tumor-targeting peptides identified from each combinatorial library method will be discussed. Published tumor-targeting peptide ligands and their applications will also be summarized by the combinatorial library methods and their corresponding binding receptors.

Indexed as

Combinatorial Chemistry TechniquesPeptide LibraryAnimalsHumansLigandsNeoplasmsPeptidesProtein BindingLigandsPeptide LibraryPeptidesBiological libraryCell surface receptorHigh throughput screeningOne-bead one-compound peptide libraryPhage-display peptide libraryTumor-targeting peptide

Identifiers

PMID27210583
PMCPMC5856482

What OpenQuestion holds

Textmetadata
LicenceTDM
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.