Evidence map›Paper›PMID 26293211›Full record

ArticleJournal of biological physics2016

Multiscale modeling of tumor growth induced by circadian rhythm disruption in epithelial tissue.

D A Bratsun, D V Merkuriev, A P Zakharov, L M Pismen

Abstract read
In one paragraph

Article in Journal of biological physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed
3.7field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 27 citations in OpenAlex.

  1. Article
  2. Review
  3. Mathematical modeling of circadian rhythms.Wiley interdisciplinary reviews. Systems biology and medicine · 2019
    Review
  4. Article
  5. Article
  6. Review
  7. 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 at 2 institutions in 1 country.

D A BratsunTheoretical Physics Department, Perm State Humanitarian Pedagogical University, 614990, Perm, Russia.
D V MerkurievDepartment of Hospital Pediatrics, Perm State Medical Academy, 614990, Perm, Russia.
A P ZakharovDepartment of Chemical Engineering, Technion-Israel Institute of Technology, 32000, Haifa, Israel. andreiz@tx.technion.ac.il.
L M PismenDepartment of Chemical Engineering, Technion-Israel Institute of Technology, 32000, Haifa, Israel. pismen@technion.ac.il.
Perm State Humanitarian-Pedagogical University · RUPerm State Medical Academy · RU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We propose a multiscale chemo-mechanical model of cancer tumor development in epithelial tissue. The model is based on the transformation of normal cells into a cancerous state triggered by a local failure of spatial synchronization of the circadian rhythm. The model includes mechanical interactions and a chemical signal exchange between neighboring cells, as well as a division of cells and intercalation that allows for modification of the respective parameters following transformation into the cancerous state. The numerical simulations reproduce different dephasing patterns--spiral waves and quasistationary clustering, with the latter being conducive to cancer formation. Modification of mechanical properties reproduces a distinct behavior of invasive and localized carcinoma.

Indexed as

Circadian RhythmModels, BiologicalBiomechanical PhenomenaCarcinogenesisCell ProliferationCell Transformation, NeoplasticEpitheliumFeedback, PhysiologicalGene Expression Regulation, NeoplasticModels, GeneticNeoplasmsSignal TransductionCancer modelingCircadian rhythmsSignalingSystems biologyTime-delay

Identifiers

PMID26293211
PMCPMC4713406
OpenAlexW1153325264

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.