Evidence map›Paper›PMID 25075381›Full record

ArticleJournal of coupled systems and multiscale dynamics2013

Predicting mechanism of biphasic growth factor action on tumor growth using a multi-species model with feedback control.

Anna Konstorum, Stephanie A Sprowl, Marian L Waterman, Arthur D Lander, John S Lowengrub

Open access · greenAbstract read
In one paragraph

Article in Journal of coupled systems and multiscale dynamics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.3field-weighted citation impact, top 38% 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

3 citing papers in PubMed, 6 citations in OpenAlex.

  1. Article
  2. Article
  3. 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

5 authors at 1 institution in 1 country.

Anna KonstorumDepartment of Mathematics, University of California, Irvine, CA 92697-3875, USA ; Center for Complex Biological Systems, University of California, 2620 Biological Sciences III, Irvine, CA 92697-2280, USA.
Stephanie A SprowlCenter for Complex Biological Systems, University of California, 2620 Biological Sciences III, Irvine, CA 92697-2280, USA ; Department of Microbiology and Molecular Genetics, University of California, Irvine, CA 92697-4025, USA.
Marian L WatermanCenter for Complex Biological Systems, University of California, 2620 Biological Sciences III, Irvine, CA 92697-2280, USA ; Department of Microbiology and Molecular Genetics, University of California, Irvine, CA 92697-4025, USA.
Arthur D LanderCenter for Complex Biological Systems, University of California, 2620 Biological Sciences III, Irvine, CA 92697-2280, USA ; Department of Developmental and Cell Biology, University of California, 2011 Biological Sciences III, Irvine, CA 92697-2300, USA.
John S LowengrubDepartment of Mathematics, University of California, Irvine, CA 92697-3875, USA ; Center for Complex Biological Systems, University of California, 2620 Biological Sciences III, Irvine, CA 92697-2280, USA ; Department of Biomedical Engineering, University of California, 3120 Natural Sciences II, Irvine, CA 92697-2715, USA.
University of California, Irvine · US

Funding

Uncover Strategies Used By Biological SystemsP50GM076516 · NIGMS · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D · 2007 to 2016
$25.1M
Wnt Signaling in Colon CancerR01CA108697 · NCI · UNIVERSITY OF CALIFORNIA-IRVINE · PI WATERMAN, MARIAN L · 2005 to 2015
$2.7M
Mathematical, Computational and Systems BiologyT32EB009418 · NIBIB · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D, NIE, QING · 2009 to 2019
$2.4M
Training Program in Systems Biology of DevelopmentT32HD060555 · NICHD · UNIVERSITY OF CALIFORNIA-IRVINE · PI LANDER, ARTHUR D · 2009 to 2013
$1.3M
NCI NIH HHS R01 CA108697NIBIB NIH HHS T32 EB009418NICHD NIH HHS T32 HD060555NIGMS NIH HHS P50 GM076516
6 · The paper itself

Abstract

A large number of growth factors and drugs are known to act in a biphasic manner: at lower concentrations they cause increased division of target cells, whereas at higher concentrations the mitogenic effect is inhibited. Often, the molecular details of the mitogenic effect of the growth factor are known, whereas the inhibitory effect is not. Hepatoctyte Growth Factor, HGF, has recently been recognized as a strong mitogen that is present in the microenvironment of solid tumors. Recent evidence suggests that HGF acts in a biphasic manner on tumor growth. We build a multi-species model of HGF action on tumor cells using different hypotheses for high dose-HGF activation of a growth inhibitor and show that the shape of the dose-response curve is directly related to the mechanism of inhibitor activation. We thus hypothesize that the shape of a dose-response curve is informative of the molecular action of the growth factor on the growth inhibitor.

Indexed as

Cancer ModelingCell SignalingCoupled Dynamical ModelingNonlinear Biological Growth ControlStem Cells

Identifiers

PMID25075381
PMCPMC4112130
OpenAlexW2084558849

What OpenQuestion holds

Textmetadata
LicenceTDM
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.