Evidence map›Paper›PMID 27286441›Full record

ArticlePLoS computational biology2016

Theory and Experimental Validation of a Spatio-temporal Model of Chemotherapy Transport to Enhance Tumor Cell Kill.

Zhihui Wang, Romica Kerketta, Yao-Li Chuang, Prashant Dogra, Joseph D Butner, Terisse A Brocato, Armin Day, Rong Xu, Haifa Shen, Eman Simbawa and 6 more

Open access · goldAbstract read
In one paragraph

Article in PLoS computational biology, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 36 papers.

0numbers the graph read from it
0cells of the map it votes in
36citing papers in PubMed
4.5field-weighted citation impact, top 6% 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

36 citing papers in PubMed, 60 citations in OpenAlex.

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  9. A Multiscale Model to Identify Limiting Factors in Nanoparticle-Based miRNA Delivery for Tumor InhibitionAnnual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2021
    Article
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  17. Image-guided mathematical modeling for pharmacological evaluation of nanomaterials and monoclonal antibodies.Wiley interdisciplinary reviews. Nanomedicine and nanobiotechnology · 2020
    Review
  18. Article
  19. A modeling platform for the lymphatic system.Journal of theoretical biology · 2020
    Article
  20. A Multiscale Agent-Based Model of Ductal Carcinoma In Situ.IEEE transactions on bio-medical engineering · 2020
    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

16 authors at 6 institutions in 2 countries.

Zhihui WangDepartment of NanoMedicine and Biomedical Engineering, University of Texas Medical School at Houston, Houston, Texas, United States of America.
Romica KerkettaDepartment of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America.ORCID 0000-0002-7007-1395
Yao-Li ChuangDepartment of Mathematics, California State University, Northridge, California, United States of America.
Prashant DograDepartment of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America.
Joseph D ButnerDepartment of Chemical and Biological Engineering and Center for Biomedical Engineering, University of New Mexico, Albuquerque, New Mexico, United States of America.
Terisse A BrocatoDepartment of Chemical and Biological Engineering and Center for Biomedical Engineering, University of New Mexico, Albuquerque, New Mexico, United States of America.ORCID 0000-0002-4213-0749
Armin DayDepartment of Pathology, University of New Mexico, Albuquerque, New Mexico, United States of America.
Rong XuDepartment of Nanomedicine, Methodist Hospital Research Institute, Houston, Texas, United States of America.
Haifa ShenDepartment of Nanomedicine, Methodist Hospital Research Institute, Houston, Texas, United States of America.
Eman SimbawaDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
A S Al-FhaidDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
S R MahmoudDepartment of Mathematics, Faculty of Science, King Abdulaziz University, Jeddah, Saudi Arabia.
Steven A CurleyMichael E. DeBakey Department of Surgery, Baylor College of Medicine, Houston, Texas, United States of America.
Mauro FerrariDepartment of Nanomedicine, Methodist Hospital Research Institute, Houston, Texas, United States of America.
Eugene J KoayDepartment of Radiation Oncology, University of Texas MD Anderson Cancer Center, Houston, Texas, United States of America.ORCID 0000-0001-7675-3461
Vittorio CristiniDepartment of NanoMedicine and Biomedical Engineering, University of Texas Medical School at Houston, Houston, Texas, United States of America.
University of New Mexico · USHouston Methodist · USKing Abdulaziz University · SAThe University of Texas MD Anderson Cancer Center · USBaylor College of Medicine · USCalifornia State University, Northridge · US

Funding

Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2010 to 2014
$12.4M
TRANS-NETWORK PROJECTSU54CA143837 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI FERRARI, MAURO · 2009 to 2014
$10.8M
Imaging and Molecular Correlates of Progression in Cystic Neoplasms of the PancreasU01CA196403 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MAITRA, ANIRBAN · 2015 to 2020
$5.8M
NCI NIH HHS U01 CA196403NCI NIH HHS U54 CA143837NCI NIH HHS U54 CA151668
6 · The paper itself

Abstract

author summaryCancer treatment efficacy can be significantly enhanced through the elution of drug from nano-carriers that can temporarily stay in the tumor vasculature. Here we present a relatively simple yet powerful mathematical model that accounts for both spatial and temporal heterogeneities of drug dosing to help explain, examine, and prove this concept. We find that the delivery of systemic chemotherapy through a certain form of nano-carriers would have enhanced tumor kill by a factor of 2 to 4 over the standard therapy that the patients actually received. We also find that targeting blood volume fraction (a parameter of the model) through vascular normalization can achieve more effective drug delivery and tumor kill. More importantly, this model only requires a limited number of parameters which can all be readily assessed from standard clinical diagnostic measurements (e.g., histopathology and CT). This addresses an important challenge in current translational research and justifies further development of the model towards clinical translation.

Indexed as

Models, BiologicalAnimalsAntineoplastic AgentsComputational BiologyComputer SimulationDrug CarriersFemaleMiceMice, Inbred BALB CNanoparticlesNeoplasmsSpatio-Temporal AnalysisAntineoplastic AgentsDrug Carriers

Identifiers

PMID27286441
PMCPMC4902302
OpenAlexW2410611073

What OpenQuestion holds

Textmetadata
LicenceCC BY
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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.