Evidence map›Paper›PMID 25671297›Full record

ArticleOncotarget2015

Advances in dynamic modeling of colorectal cancer signaling-network regions, a path toward targeted therapies.

Lorenzo Tortolina, David J Duffy, Massimo Maffei, Nicoletta Castagnino, Aimée M Carmody, Walter Kolch, Boris N Kholodenko, Cristina De Ambrosi, Annalisa Barla, Elia M Biganzoli and 6 more

Abstract read
In one paragraph

Article in Oncotarget, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 13 papers.

0numbers the graph read from it
0cells of the map it votes in
13citing 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

13 citing papers in PubMed.

  1. Article
  2. Frontiers in systems biology · 2023
    Article
  3. Article
  4. Article
  5. Article
  6. Article
  7. Article
  8. Review
  9. Article
  10. Article
  11. Systems medicine in colorectal cancer: from a mathematical model toward a new type of clinical trial.Wiley interdisciplinary reviews. Systems biology and medicine · 2016
    Review
  12. Article
  13. 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.

Lorenzo TortolinaDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Italy.
David J DuffySystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin, Ireland.
Massimo MaffeiDepartment of Internal Medicine and Medical Specializations (DIMI), University of Genoa, Italy.
Nicoletta CastagninoDepartment of Internal Medicine and Medical Specializations (DIMI), University of Genoa, Italy.
Aimée M CarmodySystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin, Ireland.
Walter KolchSystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin, Ireland.
Boris N KholodenkoSystems Biology Ireland, Conway Institute, University College Dublin, Belfield, Dublin, Ireland.
Cristina De AmbrosiDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Italy.
Annalisa BarlaDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Italy.
Elia M BiganzoliUnit of Medical Statistics, Biometry and Bioinformatics "Giulio A. Maccacaro", Department of Clinical Sciences and Community Health, University of Milan, Italy.
Alessio NencioniDepartment of Internal Medicine and Medical Specializations (DIMI), University of Genoa, Italy.
Franco PatroneDepartment of Internal Medicine and Medical Specializations (DIMI), University of Genoa, Italy.
Alberto BallestreroDepartment of Internal Medicine and Medical Specializations (DIMI), University of Genoa, Italy.
Gabriele ZoppoliDepartment of Internal Medicine and Medical Specializations (DIMI), University of Genoa, Italy.
Alessandro VerriDepartment of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Italy.
Silvio ParodiDepartment of Internal Medicine and Medical Specializations (DIMI), University of Genoa, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The interconnected network of pathways downstream of the TGFβ, WNT and EGF-families of receptor ligands play an important role in colorectal cancer pathogenesis.We studied and implemented dynamic simulations of multiple downstream pathways and described the section of the signaling network considered as a Molecular Interaction Map (MIM). Our simulations used Ordinary Differential Equations (ODEs), which involved 447 reactants and their interactions.Starting from an initial "physiologic condition", the model can be adapted to simulate individual pathologic cancer conditions implementing alterations/mutations in relevant onco-proteins. We verified some salient model predictions using the mutated colorectal cancer lines HCT116 and HT29. We measured the amount of MYC and CCND1 mRNAs and AKT and ERK phosphorylated proteins, in response to individual or combination onco-protein inhibitor treatments. Experimental and simulation results were well correlated. Recent independently published results were also predicted by our model.Even in the presence of an approximate and incomplete signaling network information, a predictive dynamic modeling seems already possible. An important long term road seems to be open and can be pursued further, by incremental steps, toward even larger and better parameterized MIMs. Personalized treatment strategies with rational associations of signaling-proteins inhibitors, could become a realistic goal.

Indexed as

Models, BiologicalCell Line, TumorColorectal NeoplasmsEpidermal Growth FactorG1 PhaseHCT116 CellsHT29 CellsHumansMolecular Targeted TherapyNeoplasm ProteinsResting Phase, Cell CycleTransforming Growth Factor betaWnt Signaling PathwayEpidermal Growth FactorNeoplasm ProteinsTransforming Growth Factor betacolorectal cancerdynamic modelingonco-protein inhibitorssignaling-networktarget therapies

Identifiers

PMID25671297
PMCPMC4467132

What OpenQuestion holds

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LicenceCC BY
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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.