Home LiteratureArticle Details
PMID: 17129778 Published · ppublish English Journal Article Research Support, N.I.H., Extramural

Tumor morphology and phenotypic evolution driven by selective pressure from the microenvironment.

Cell ·Vol. 127 ·No. 5 ·2006-12-01 ·Pages 905-15

Anderson AR, Weaver AM, Cummings PT, Quaranta V

Abstract

Emergence of invasive behavior in cancer is life-threatening, yet ill-defined due to its multifactorial nature. We present a multiscale mathematical model of cancer invasion, which considers cellular and microenvironmental factors simultaneously and interactively. Unexpectedly, the model simulations predict that harsh tumor microenvironment conditions (e.g., hypoxia, heterogenous extracellular matrix) exert a dramatic selective force on the tumor, which grows as an invasive mass with fingering margins, dominated by a few clones with aggressive traits. In contrast, mild microenvironment conditions (e.g., normoxia, homogeneous matrix) allow clones with similar aggressive traits to coexist with less aggressive phenotypes in a heterogeneous tumor mass with smooth, noninvasive margins. Thus, the genetic make-up of a cancer cell may realize its invasive potential through a clonal evolution process driven by definable microenvironmental selective forces. Our mathematical model provides a theoretical/experimental framework to quantitatively characterize this selective pressure for invasion and test ways to eliminate it.

MeSH Terms
Adaptation, Physiological Biological Evolution Cell Adhesion Extracellular Matrix/pathology Models, Biological Mutation/genetics Neoplasms/pathology Oxygen/metabolism Phenotype
Chemicals
Oxygen
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Anderson Alexander R A
Division of Mathematics, University of Dundee, Dundee, DD1 4HN, Scotland, UK. anderson@maths.dundee.ac.uk
Weaver Alissa M
Cummings Peter T
Quaranta Vito
Article Info
Journal
Cell
Abbr.
Cell
ISSN
0092-8674
Published
2006-12-01
Pages
905-15
Language
English
Region
United States
NLM ID
0413066
Subset
IM
Grants
NCI NIH HHS · U54 CA113007 · United States
NCI NIH HHS · K22 CA109590 · United States
Analysis Services
Analysis Services

Contact

No. 2 Wenbo Road, Zhangqiu District, Jinan, Shandong

Qilu Normal University · Genelibs Bioinformatics Lab

750 Shunhua Rd, Jinan

2F, Bldg F, University Science Park

Tel: 0531-88819269

WeChat Official Account

Follow our WeChat subscription account for real-time updates and the latest in medical and biological research.


Business Email

E-mail: product@genelibs.com