Evidence map›Paper›PMID 24404145›Full record

ArticlePloS one2014

Computational modeling of 3D tumor growth and angiogenesis for chemotherapy evaluation.

Lei Tang, Anne L van de Ven, Dongmin Guo, Vivi Andasari, Vittorio Cristini, King C Li, Xiaobo Zhou

Open access · goldAbstract read
In one paragraph

Article in PloS one, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 papers.

0numbers the graph read from it
0cells of the map it votes in
33citing papers in PubMed
5.6field-weighted citation impact, top 4% 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

33 citing papers in PubMed, 94 citations in OpenAlex.

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  16. Population mutation properties of tumor evolution.Medical oncology (Northwood, London, England) · 2020
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  18. Cancer research · 2020
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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

7 authors at 4 institutions in 1 country.

Lei TangDepartment of Translational Imaging, The Methodist Hospital Research Institute, Houston, Texas, United States of America.
Anne L van de VenDepartment of Physics, Northeastern University, Boston, Massachusetts, United States of America.
Dongmin GuoDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
Vivi AndasariDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
Vittorio CristiniDepartment of Pathology, Cancer Research and Treatment Center, Department of Chemical and Nuclear Engineering, and Center for Biomedical Engineering, The University of New Mexico, Albuquerque, New Mexico, United States of America.
King C LiDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
Xiaobo ZhouDepartment of Radiology, Wake Forest School of Medicine, Winston-Salem, North Carolina, United States of America.
Wake Forest University · USHouston Methodist · USNortheastern University · USUniversity of New Mexico · US

Funding

TRANS-NETWORK PROJECTSU54CA143907 · NCI · UNIVERSITY OF SOUTHERN CALIFORNIA · PI NOLAN, GARRY P · 2009 to 2013
$15.2M
Texas Center for Cancer NanomedicineU54CA151668 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CRISTINI, VITTORIO, FERRARI, MAURO · 2010 to 2014
$12.4M
TRANS-NETWORK PROJECTSU54CA143837 · NCI · UNIVERSITY OF TEXAS HLTH SCI CTR HOUSTON · PI CRISTINI, VITTORIO · 2009 to 2014
$10.8M
The Core of the Computational BiologyU54CA149196 · NCI · METHODIST HOSPITAL RESEARCH INSTITUTE · PI WONG, STEPHEN TC · 2010 to 2015
$10.6M
Modelling the Growth of the MIC Niche at the System LevelU01CA166886 · NCI · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI ZHOU, XIAOBO · 2012 to 2016
$2.2M
Pulsed high intensity focused ultrasound facilitated drug deliveryR01EB009009 · NIBIB · WAKE FOREST UNIVERSITY HEALTH SCIENCES · PI LI, KING C. · 2008 to 2012
$2.0M
NCI NIH HHS 1U54CA143837NCI NIH HHS 1U54CA143907NCI NIH HHS 1U54CA149196NCI NIH HHS 1U54CA151668NCI NIH HHS U01 CA166886NCI NIH HHS U01CA166886-01NCI NIH HHS U54 CA143837NCI NIH HHS U54 CA143907NCI NIH HHS U54 CA149196NCI NIH HHS U54 CA151668NIBIB NIH HHS 5R01EB009009-06NIBIB NIH HHS R01 EB009009
6 · The paper itself

Abstract

Solid tumors develop abnormally at spatial and temporal scales, giving rise to biophysical barriers that impact anti-tumor chemotherapy. This may increase the expenditure and time for conventional drug pharmacokinetic and pharmacodynamic studies. In order to facilitate drug discovery, we propose a mathematical model that couples three-dimensional tumor growth and angiogenesis to simulate tumor progression for chemotherapy evaluation. This application-oriented model incorporates complex dynamical processes including cell- and vascular-mediated interstitial pressure, mass transport, angiogenesis, cell proliferation, and vessel maturation to model tumor progression through multiple stages including tumor initiation, avascular growth, and transition from avascular to vascular growth. Compared to pure mechanistic models, the proposed empirical methods are not only easy to conduct but can provide realistic predictions and calculations. A series of computational simulations were conducted to demonstrate the advantages of the proposed comprehensive model. The computational simulation results suggest that solid tumor geometry is related to the interstitial pressure, such that tumors with high interstitial pressure are more likely to develop dendritic structures than those with low interstitial pressure.

Indexed as

Models, BiologicalNeovascularization, PathologicTumor BurdenAlgorithmsAntineoplastic AgentsComputer SimulationHumansModels, TheoreticalNeoplasmsAntineoplastic Agents

Identifiers

PMID24404145
PMCPMC3880288
OpenAlexW2090144600

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.