Evidence map›Paper›PMID 27553370›Full record

ArticleBMC bioinformatics2016

The tumor as an organ: comprehensive spatial and temporal modeling of the tumor and its microenvironment.

Naamah Bloch, David Harel

Open access · goldAbstract read
In one paragraph

Article in BMC bioinformatics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

8 citing papers in PubMed, 15 citations in OpenAlex.

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  6. Hybrid modeling frameworks of tumor development and treatment.Wiley interdisciplinary reviews. Systems biology and medicine · 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

2 authors at 1 institution in 1 country.

Naamah BlochDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 234 Herzl st, 7610001, Rehovot, Israel. Naamah.Bloch@weizmann.ac.il.
David HarelDepartment of Computer Science and Applied Mathematics, Weizmann Institute of Science, 234 Herzl st, 7610001, Rehovot, Israel.
Weizmann Institute of Science · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundResearch related to cancer is vast, and continues in earnest in many directions. Due to the complexity of cancer, a better understanding of tumor growth dynamics can be gleaned from a dynamic computational model. We present a comprehensive, fully executable, spatial and temporal 3D computational model of the development of a cancerous tumor together with its environment.

resultsThe model was created using Statecharts, which were then connected to an interactive animation front-end that we developed especially for this work, making it possible to visualize on the fly the on-going events of the system's execution, as well as the effect of various input parameters. We were thus able to gain a better understanding of, e.g., how different amounts or thresholds of oxygen and VEGF (vascular endothelial growth factor) affect the progression of the tumor. We found that the tumor has a critical turning point, where it either dies or recovers. If minimum conditions are met at that time, it eventually develops into a full, active, growing tumor, regardless of the actual amount; otherwise it dies.

conclusionsThis brings us to the conclusion that the tumor is in fact a very robust system: changing initial values of VEGF and oxygen can increase the time it takes to become fully developed, but will not necessarily completely eliminate it.

Indexed as

Computer SimulationTumor MicroenvironmentDisease ProgressionHumansModels, BiologicalNeoplasmsNeovascularization, PathologicOxygenVascular Endothelial Growth Factor AOxygenVascular Endothelial Growth Factor ABiological systemsComputational modelsStatechartsTumor and its microenvironmentVisualization

Identifiers

PMID27553370
PMCPMC4995621
OpenAlexW2513554053

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.