Evidence map›Paper›PMID 23256083›Full record

ArticleQuantitative imaging in medicine and surgery2012

Heparin based nanoparticles for cancer targeting and noninvasive imaging.

Md Nurunnabi, Zehedina Khatun, Woo-Choon Moon, Gibaek Lee, Yong-Kyu Lee

Open access · greenAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 11 papers.

0numbers the graph read from it
0cells of the map it votes in
11citing papers in PubMed
1.7field-weighted citation impact, top 18% 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

11 citing papers in PubMed, 26 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
  5. Review
  6. Review
  7. Review
  8. Review
  9. Article
  10. Review
  11. 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 at 1 institution in 1 country.

Md NurunnabiDepartment of Chemical and Biological Engineering, Korea National University of Transportation, Chungbuk, 380-702 Republic of Korea;
Zehedina Khatun
Woo-Choon Moon
Gibaek Lee
Yong-Kyu Lee
Korea National University of Transportation · KR

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Numerous papers on heparin nanoparticles have been reported regarding targeting therapy and biomedical imaging. Here, we have summarized the prospects and opportunities of heparin as a carrier for cancer targeting and imaging. First, we proposed heparin-anticancer drug conjugates showing higher anticancer activity than free drug. The conjugated heparin (heparin-deoxycholate sodium) retained its ability to bind with angiogenic factors, showing a significant decrease in endothelial tubular formation. Second, targeting ligands conjugated heparin derivatives have introduced for a receptor mediated delivery of anticancer drug. Heparin-folic acid-retinoic acid (HFR) bioconjugates for treating cancer cells showed 3 fold higher efficacy than heparin-retinoic acid (HR). Besides active and passive targeting drug delivery, several papers have been reported regarding delivery of imaging agents by heparin nanoparticles. Finally, this research highlight has covered imaging agents such as gold nanoparticles and quantum dots (QDs) for noninvasive biomedical imaging. Very recently our group demonstrated that semiconductor QDs loaded heparin nanoparticles could also be administered through orally for noninvasive imaging. Due to promising features of heparin such as less toxic polysaccharide and easier modification, it was considered as a potent carrier for imaging agent and drug delivery.

Indexed as

cancerHeparinnanoparticlesnoninvasive imagingtargeting

Identifiers

PMID23256083
PMCPMC3496510
OpenAlexW1948027778

What OpenQuestion holds

Textmetadata
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.