Evidence map›Paper›PMID 24370567›Full record

ArticleCancer letters2014

Serum biomarkers for personalization of nanotherapeutics-based therapy in different tumor and organ microenvironments.

Kenji Yokoi, Tomonori Tanei, Biana Godin, Anne L van de Ven, Masaki Hanibuchi, Aika Matsunoki, Jenolyn Alexander, Mauro Ferrari

Abstract read
In one paragraph

Article in Cancer letters, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 32 papers.

0numbers the graph read from it
0cells of the map it votes in
32citing 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

32 citing papers in PubMed.

  1. Review
  2. Review
  3. Article
  4. Article
  5. Review
  6. Current research trends of nanomedicines.Acta pharmaceutica Sinica. B · 2023
    Review
  7. Nanomedicine in cancer therapy.Signal transduction and targeted therapy · 2023
    Review
  8. Article
  9. Emerging Sonodynamic Therapy-Based Nanomedicines for Cancer Immunotherapy.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2023
    Review
  10. Review
  11. Roadmap on nanomedicine.Nanotechnology · 2021
    Article
  12. Article
  13. Review
  14. Article
  15. Article
  16. Review
  17. Progression-dependent transport heterogeneity of breast cancer liver metastases as a factor in therapeutic resistance.Journal of controlled release : official journal of the Controlled Release Society · 2018
    Article
  18. Review
  19. Article
  20. 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

8 authors.

Kenji YokoiDepartment of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Street, Houston, TX 77030, USA; Department of Cancer Biology, Cancer Metastasis Research Center, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA. Electronic address: kyokoi2@tmhs.org.
Tomonori TaneiDepartment of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Street, Houston, TX 77030, USA.
Biana GodinDepartment of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Street, Houston, TX 77030, USA.
Anne L van de VenDepartment of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Street, Houston, TX 77030, USA.
Masaki HanibuchiDepartment of Cancer Biology, Cancer Metastasis Research Center, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.
Aika MatsunokiDepartment of Cancer Biology, Cancer Metastasis Research Center, The University of Texas M. D. Anderson Cancer Center, Houston, TX 77030, USA.
Jenolyn AlexanderDepartment of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Street, Houston, TX 77030, USA.
Mauro FerrariDepartment of Nanomedicine, Houston Methodist Research Institute, 6670 Bertner Street, Houston, TX 77030, USA. Electronic address: mferrari@tmhs.org.

Funding

TRANS-NETWORK PROJECTSU54CA143837 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2009 to 2014
$10.8M
NCI NIH HHS U54 CA143837
6 · The paper itself

Abstract

Enhanced permeation and retention (EPR) effect, the mechanism by which nanotherapeutics accumulate in tumors, varies in patients based on differences in the tumor and organ microenvironment. Surrogate biomarkers for the EPR effect will aid in selecting patients who will accumulate higher amounts of nanotherapeutics and show better therapeutic efficacy. Our data suggest that the differences in the vascular permeability and pegylated liposomal doxorubicin (PLD) accumulation are tumor type as well as organ-specific and significantly correlated with the relative ratio of MMP-9 to TIMP-1 in the circulation, supporting development of these molecules as biomarkers for the personalization of nanoparticle-based therapy.

Indexed as

AnimalsAntibiotics, AntineoplasticBiomarkers, TumorBrain NeoplasmsCapillary PermeabilityDoxorubicinDrug Delivery SystemsFemaleLiver Neoplasms, ExperimentalMatrix Metalloproteinase 9MiceMice, Inbred BALB CMice, Inbred C57BLMice, NudeNanoparticlesNeoplasms, ExperimentalAntibiotics, AntineoplasticBiomarkers, TumorDoxorubicinliposomal doxorubicinMatrix Metalloproteinase 9Polyethylene GlycolsTissue Inhibitor of Metalloproteinase-1BiomarkerEPR effectNanotherapeuticsPLDTransport oncophysics

Identifiers

PMID24370567
PMCPMC3992940

What OpenQuestion holds

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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.