Evidence map›Paper›PMID 27678112›Full record

ArticleJournal of biological physics2016

Tumor proliferation and diffusion on percolation clusters.

Chongming Jiang, Chunyan Cui, Weirong Zhong, Gang Li, Li Li, Yuanzhi Shao

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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 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

6 authors.

Chongming JiangSchool of Physics, Sun Yat-sen University, Guangzhou, 510275, China.
Chunyan CuiDepartment of Medical Imaging, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Weirong ZhongSiyuan Laboratory, Guangzhou Key Laboratory of Vacuum Coating Technologies and New Energy Materials, Department of Physics, Jinan University, Guangzhou, 510632, China.
Gang LiSchool of Physics, Sun Yat-sen University, Guangzhou, 510275, China.
Li LiDepartment of Medical Imaging, State Key Laboratory of Oncology in South China, Sun Yat-sen University Cancer Center, Guangzhou, 510060, China.
Yuanzhi ShaoSchool of Physics, Sun Yat-sen University, Guangzhou, 510275, China. stssyz@mail.sysu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We study in silico the influence of host tissue inhomogeneity on tumor cell proliferation and diffusion by simulating the mobility of a tumor on percolation clusters with different homogeneities of surrounding tissues. The proliferation and diffusion of a tumor in an inhomogeneous tissue could be characterized in the framework of the percolation theory, which displays similar thresholds (0.54, 0.44, and 0.37, respectively) for tumor proliferation and diffusion in three kinds of lattices with 4, 6, and 8 connecting near neighbors. Our study reveals the existence of a critical transition concerning the survival and diffusion of tumor cells with leaping metastatic diffusion movement in the host tissues. Tumor cells usually flow in the direction of greater pressure variation during their diffusing and infiltrating to a further location in the host tissue. Some specific sites suitable for tumor invasion were observed on the percolation cluster and around these specific sites a tumor can develop into scattered tumors linked by some advantage tunnels that facilitate tumor invasion. We also investigate the manner that tissue inhomogeneity surrounding a tumor may influence the velocity of tumor diffusion and invasion. Our simulation suggested that invasion of a tumor is controlled by the homogeneity of the tumor microenvironment, which is basically consistent with the experimental report by Riching et al. as well as our clinical observation of medical imaging. Both simulation and clinical observation proved that tumor diffusion and invasion into the surrounding host tissue is positively correlated with the homogeneity of the tissue.

Indexed as

Models, BiologicalCell ProliferationComputer SimulationDiffusionMonte Carlo MethodNeoplasm InvasivenessNeoplasm MetastasisNeoplasmsInhomogeneityInvasive and metastatic diffusionPercolationReaction–diffusion systemsTumor

Identifiers

PMID27678112
PMCPMC5059599

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