Evidence map›Paper›PMID 24962356›Full record

ArticleJournal of visualized experiments : JoVE2014

Polymalic acid-based nano biopolymers for targeting of multiple tumor markers: an opportunity for personalized medicine?

Julia Y Ljubimova, Hui Ding, Jose Portilla-Arias, Rameshwar Patil, Pallavi R Gangalum, Alexandra Chesnokova, Satoshi Inoue, Arthur Rekechenetskiy, Tala Nassoura, Keith L Black and 1 more

Open access · greenAbstract readVideo-Audio Media
In one paragraph

Article in Journal of visualized experiments : JoVE, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.

0numbers the graph read from it
0cells of the map it votes in
19citing papers in PubMed
0.8field-weighted citation impact, top 30% 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

19 citing papers in PubMed, 23 citations in OpenAlex.

  1. Article
  2. Review
  3. Polymalic acid for translational nanomedicine.Journal of nanobiotechnology · 2022
    Review
  4. Review
  5. Review
  6. Article
  7. Article
  8. Magnetic iron oxide nanoparticles for imaging, targeting and treatment of primary and metastatic tumors of the brain.Journal of controlled release : official journal of the Controlled Release Society · 2020
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Review
  15. HER2-positive breast cancer targeting and treatment by a peptide-conjugated mini nanodrug.Nanomedicine : nanotechnology, biology, and medicine · 2017
    Article
  16. Article
  17. Article
  18. Article
  19. 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

11 authors at 1 institution in 1 country.

Julia Y LjubimovaNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Hui DingNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Jose Portilla-AriasNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Rameshwar PatilNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Pallavi R GangalumNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Alexandra ChesnokovaNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Satoshi InoueNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Arthur RekechenetskiyNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Tala NassouraNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Keith L BlackNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center.
Eggehard HollerNanomedicine Research Center, Department of Neurosurgery, Cedars-Sinai Medical Center; Eggehard.Holler@cshs.org.
Cedars-Sinai Medical Center · US

Funding

Novel Nanopolymers to Inhibit Angiogenesis and Increase the Anti-tumor ImmunityR01CA136841 · NCI · UNIVERSITY OF CALIFORNIA LOS ANGELES · PI LJUBIMOVA, JULIA Y, PENICHET, MANUEL L · 2010 to 2014
$2.7M
Nanoconjugate based on polymalic acid for brain tumor treatmentU01CA151815 · NCI · CEDARS-SINAI MEDICAL CENTER · PI LJUBIMOVA, JULIA Y · 2010 to 2014
$2.7M
Tumor drug delivery systems based on polymalic acidR01CA123495 · NCI · CEDARS-SINAI MEDICAL CENTER · PI LJUBIMOVA, JULIA Y · 2006 to 2010
$1.4M
NCI NIH HHS R01 CA123495NCI NIH HHS R01 CA136841NCI NIH HHS U01 CA151815
6 · The paper itself

Abstract

Tumors with similar grade and morphology often respond differently to the same treatment because of variations in molecular profiling. To account for this diversity, personalized medicine is developed for silencing malignancy associated genes. Nano drugs fit these needs by targeting tumor and delivering antisense oligonucleotides for silencing of genes. As drugs for the treatment are often administered repeatedly, absence of toxicity and negligible immune response are desirable. In the example presented here, a nano medicine is synthesized from the biodegradable, non-toxic and non-immunogenic platform polymalic acid by controlled chemical ligation of antisense oligonucleotides and tumor targeting molecules. The synthesis and treatment is exemplified for human Her2-positive breast cancer using an experimental mouse model. The case can be translated towards synthesis and treatment of other tumors.

Indexed as

AnimalsBiomarkers, TumorBreast NeoplasmsErb-b2 Receptor Tyrosine KinasesFemaleGene SilencingHumansMalatesMiceMice, NudeMolecular Targeted TherapyNanoparticlesOligonucleotides, AntisensePhysarum polycephalumPolymersPrecision MedicineBiomarkers, TumorERBB2 protein, humanErb-b2 Receptor Tyrosine KinasesMalatesOligonucleotides, Antisensepoly(malic acid)Polymers

Identifiers

PMID24962356
PMCPMC4118553
OpenAlexW1970949549

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.