Evidence map›Paper›PMID 21350890›Full record

ReviewAnnals of biomedical engineering2011

Intracellular trafficking considerations in the development of natural ligand-drug molecular conjugates for cancer.

Dennis J Yoon, Christina T Liu, Devin S Quinlan, Parsa M Nafisi, Daniel T Kamei

Abstract readReview
In one paragraph

Review in Annals of biomedical engineering, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.

0numbers the graph read from it
0cells of the map it votes in
9citing 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

9 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Challenges in design and characterization of ligand-targeted drug delivery systems.Journal of controlled release : official journal of the Controlled Release Society · 2012
    Review
  8. Review
  9. Article
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

5 authors.

Dennis J YoonDepartment of Bioengineering, University of California-Los Angeles, CA 90095, USA.
Christina T Liu
Devin S Quinlan
Parsa M Nafisi
Daniel T Kamei

Funding

Tissue CoreP50CA097257 · NCI · UNIVERSITY OF CALIFORNIA, SAN FRANCISCO · PI Joseph F Costello · 2002 to 2026
$57.4M
NCI NIH HHS P50 CA097257NCI NIH HHS P50CA097257
6 · The paper itself

Abstract

Overexpressed receptors, characteristic of many cancers, have been targeted by various researchers to achieve a more specific treatment for cancer. A common approach is to use the natural ligand for the overexpressed receptor as a cancer-targeting agent which can deliver a chemically or genetically conjugated toxic molecule. However, it has been found that the therapeutic efficacy of such ligand-drug molecular conjugates can be limited, since they naturally follow the intracellular trafficking pathways of the endogenous ligands. Therefore, a thorough understanding of the intracellular trafficking properties of these ligands can lead to novel design criteria for engineering ligands to be more effective drug carriers. This review presents a few commonly used ligand/receptor systems where intracellular trafficking considerations can potentially improve the therapeutic efficacy of the ligand-drug molecular conjugates.

Indexed as

Drug CarriersLigandsAntineoplastic AgentsBiological Transport, ActiveBiomedical EngineeringDiphtheria ToxinDoxorubicinEpidermal Growth FactorErbB ReceptorsExotoxinsFolic AcidFolic Acid TransportersHumansInterleukin-13Models, BiologicalNeoplasmsAntineoplastic AgentsDiphtheria ToxinDoxorubicinDrug CarriersEpidermal Growth FactorErbB ReceptorsExotoxinsFolic AcidFolic Acid TransportersInterleukin-13LigandsReceptors, Interleukin-13Receptors, TransferrinRicinTransferrinTransforming Growth Factor alpha

Identifiers

PMID21350890
PMCPMC3069328

What OpenQuestion holds

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Registered trials

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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.