Evidence map›Paper›PMID 27356524›Full record

ArticlePharmaceutical research2016

A Computational/Experimental Assessment of Antitumor Activity of Polymer Nanoassemblies for pH-Controlled Drug Delivery to Primary and Metastatic Tumors.

Louis T Curtis, Piotr Rychahou, Younsoo Bae, Hermann B Frieboes

Abstract read
PubMed Publisher
In one paragraph

Article in Pharmaceutical research, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.8field-weighted citation impact, top 17% 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

12 citing papers in PubMed, 19 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Hybrid modeling frameworks of tumor development and treatment.Wiley interdisciplinary reviews. Systems biology and medicine · 2020
    Review
  7. Article
  8. Article
  9. Article
  10. Review
  11. Article
  12. 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

4 authors at 3 institutions in 1 country.

Louis T CurtisDepartment of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, Kentucky, 40208, USA.
Piotr RychahouMarkey Cancer Center and Department of Surgery, University of Kentucky, 741 South Limestone,, Lexington, Kentucky, 40506, USA.
Younsoo BaeDepartment of Pharmaceutical Sciences, College of Pharmacy, University of Kentucky, 789 South Limestone,, Lexington, Kentucky, 40536, USA. younsoo.bae@uky.edu.
Hermann B FrieboesDepartment of Bioengineering, University of Louisville, Lutz Hall 419, Louisville, Kentucky, 40208, USA. hbfrie01@louisville.edu.
University of Louisville · USMarkey Cancer Center · USUniversity of Kentucky · US

Funding

TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NOLAN, GARRY P · 2009 to 2013
$15.2M
NCI NIH HHS U54 CA143907
6 · The paper itself

Abstract

purposePolymer nanoassemblies (PNAs) with drug release fine-tuned to occur in acidic tumor regions (pH < 7) while sparing normal tissues (pH = 7.4) were previously shown to hold promise as nanoparticle drug carriers to effectively suppress tumor growth with reduced systemic toxicity. However, therapeutic benefits of pH-controlled drug delivery remain elusive due to complex interactions between the drug carriers, tumor cells with varying drug sensitivity, and the tumor microenvironment.

methodsWe implement a combined computational and experimental approach to evaluate the in vivo antitumor activity of acid-sensitive PNAs controlling drug release in pH 5 ~ 7.4 at different rates [PNA1 (fastest) > PNA2 > PNA3 (slowest)].

resultsComputational simulations projecting the transport, drug release, and antitumor activity of PNAs in primary and metastatic tumor models of colorectal cancer correspond well with experimental observations in vivo. The simulations also reveal that all PNAs could reach peak drug concentrations in tumors at 11 h post injection, while PNAs with slower drug release (PNA2 and PNA3) reduced tumor size more effectively than fast drug releasing PNA1 (24.5 and 20.3 vs 7.5%, respectively, as fraction of untreated control).

conclusionA combined computational/experimental approach may help to evaluate pH-controlled drug delivery targeting aggressive tumors that have substantial acidity.

Indexed as

Computer SimulationAnimalsAntineoplastic AgentsCell Line, TumorColorectal NeoplasmsDrug Delivery SystemsHT29 CellsHumansHydrogen-Ion ConcentrationMiceNanoparticlesPolymersTumor MicroenvironmentXenograft Model Antitumor AssaysAntineoplastic AgentsPolymerscancer nanotherapycomputational simulationmathematical modelingnanoparticlespH-controlled releasepolymer micelles

Identifiers

PMID27356524
OpenAlexW2470328151

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.