Multi-scale biological and physical modelling of the tumour micro-environment.

Robert F Kunz, Byron J Gaskin, Qunhua Li, Sam Davanloo-Tajbakhsh, Cheng Dong

Abstract read

In one paragraph

Article in Drug discovery today. Disease models, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it

0cells of the map it votes in

0citing 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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

5 authors.

Robert F KunzApplied Research Laboratory, Pennsylvania State University, University Park, PA, USA.

Byron J GaskinApplied Research Laboratory, Pennsylvania State University, University Park, PA, USA.

Qunhua LiDepartment of Statistics, Pennsylvania State University, University Park, PA, USA.

Sam Davanloo-TajbakhshDepartment of Statistics, Pennsylvania State University, University Park, PA, USA.

Cheng DongDepartment of Biomedical Engineering, Pennsylvania State University, University Park, PA, USA.

Funding

Statistical methods for improving reproducibility and utility of sequencing dataR01GM109453 · NIGMS · PENNSYLVANIA STATE UNIVERSITY, THE · PI LI, QUNHUA · 2013 to 2022

$2.3M

Multiscale modeling of leukocyte-tumor cell adhesion to endothelium in shear flowR01CA125707 · NCI · PENNSYLVANIA STATE UNIVERSITY, THE · PI DONG, CHENG · 2007 to 2010

$933k

NCI NIH HHS R01 CA125707NIGMS NIH HHS R01 GM109453

6 · The paper itself

Abstract

Paced by advances in high performance computing, and algorithms for multi-physics and multi-scale simulation, a number of groups have recently established numerical models of flowing blood systems, where cell-scale interactions are explicitly resolved. To be biologically representative, these models account for some or all of: (1) fluid dynamics of the carrier flow, (2) structural dynamics of the cells and vessel walls, (3) interaction and transport biochemistry, and, (4) methods for scaling to physiologically representative numbers of cells. In this article, our interest is the modelling of the tumour micro-environment. We review the broader area of cell-scale resolving blood flow modelling, while focusing on the particular interactions of tumour cells and white blood cells, known to play an important role in metastasis.

Identifiers

PMID31303886

DOI10.1016/j.ddmod.2015.03.001

PMCPMC6625769

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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.