Evidence map›Paper›PMID 31406276›Full record

ArticleScientific reports2019

Fine-grained simulations of the microenvironment of vascularized tumours.

Thierry Fredrich, Heiko Rieger, Roberto Chignola, Edoardo Milotti

Abstract read
In one paragraph

Article in Scientific reports, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing 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

5 citing papers in PubMed.

  1. Article
  2. Review
  3. Review
  4. Article
  5. 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

4 authors.

Thierry FredrichCenter for Biophysics & FB Theoretical Physics, Saarland University, Saarbrücken, 66123, Germany. thierry@lusi.uni-sb.de.ORCID http://orcid.org/0000-0001-7030-3048
Heiko RiegerCenter for Biophysics & FB Theoretical Physics, Saarland University, Saarbrücken, 66123, Germany.
Roberto ChignolaUniversita degli Studi di Verona, Department of Biotechnology, Verona, 37134, Italy.ORCID http://orcid.org/0000-0001-6981-6890
Edoardo MilottiUniversity of Trieste, Department of Physics, Trieste, 34127, Italy.ORCID http://orcid.org/0000-0001-7348-9765

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

One of many important features of the tumour microenvironment is that it is a place of active Darwinian selection where different tumour clones become adapted to the variety of ecological niches that make up the microenvironment. These evolutionary processes turn the microenvironment into a powerful source of tumour heterogeneity and contribute to the development of drug resistance in cancer. Here, we describe a computational tool to study the ecology of the microenvironment and report results about the ecology of the tumour microenvironment and its evolutionary dynamics.

Indexed as

Models, BiologicalTumor MicroenvironmentBiological EvolutionCell CycleClone CellsComputer SimulationGenetic HeterogeneityHumansNeoplasmsNeovascularization, PathologicSelection, Genetic

Identifiers

PMID31406276
PMCPMC6690935

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.