Evidence map›Paper›PMID 22670213›Full record

ArticleInterface focus2011

Clinically driven design of multi-scale cancer models: the ContraCancrum project paradigm.

K Marias, D Dionysiou, V Sakkalis, N Graf, R M Bohle, P V Coveney, S Wan, A Folarin, P Büchler, M Reyes and 22 more

Abstract read
In one paragraph

Article in Interface focus, 2011. 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
–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

12 citing papers in PubMed.

  1. Review
  2. Article
  3. Article
  4. Review
  5. E-Science technologies in a workflow for personalized medicine using cancer screening as a case study.Journal of the American Medical Informatics Association : JAMIA · 2017
    Article
  6. Article
  7. Article
  8. Article
  9. Integrated PK-PD and agent-based modeling in oncology.Journal of pharmacokinetics and pharmacodynamics · 2015
    Review
  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

32 authors.

K MariasInstitute of Computer Science at FORTH, Heraklion , Greece.
D Dionysiou
V Sakkalis
N Graf
R M Bohle
P V Coveney
S Wan
A Folarin
P Büchler
M Reyes
G Clapworthy
E Liu
J Sabczynski
T Bily
A Roniotis
M Tsiknakis
E Kolokotroni
S Giatili
C Veith
E Messe
H Stenzhorn
Yoo-Jin Kim
S Zasada
A N Haidar
C May
S Bauer
T Wang
Y Zhao
M Karasek
R Grewer
A Franz
G Stamatakos

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The challenge of modelling cancer presents a major opportunity to improve our ability to reduce mortality from malignant neoplasms, improve treatments and meet the demands associated with the individualization of care needs. This is the central motivation behind the ContraCancrum project. By developing integrated multi-scale cancer models, ContraCancrum is expected to contribute to the advancement of in silico oncology through the optimization of cancer treatment in the patient-individualized context by simulating the response to various therapeutic regimens. The aim of the present paper is to describe a novel paradigm for designing clinically driven multi-scale cancer modelling by bringing together basic science and information technology modules. In addition, the integration of the multi-scale tumour modelling components has led to novel concepts of personalized clinical decision support in the context of predictive oncology, as is also discussed in the paper. Since clinical adaptation is an inelastic prerequisite, a long-term clinical adaptation procedure of the models has been initiated for two tumour types, namely non-small cell lung cancer and glioblastoma multiforme; its current status is briefly summarized.

Indexed as

brain cancercancer modellinglung cancerpredictive oncology

Identifiers

PMID22670213
PMCPMC3262443

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.