Home LiteratureArticle Details
PMID: 17473364 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, U.S. Gov't, Non-P.H.S. Review

A non-genetic basis for cancer progression and metastasis: self-organizing attractors in cell regulatory networks.

Breast disease ·Vol. 26 ·2006-00-00 ·Pages 27-54

Huang S, Ingber DE

Abstract

It is commonly assumed that somatic evolution drives the multi-step process that produces metastatic cancer. But it is difficult to reconcile the inexorable progression towards metastasis in virtually all carcinomas and the associated complex change of cancer cell phenotype, characterized by an epithelial-to-mesenchymal transition, with the random nature of gene mutations. Given their irreversible nature, it is also difficult to explain why certain metastatic carcinomas can reform normal tissue boundaries and remain dormant for years at distant sites. Here we propose an encompassing conceptual framework based on system-level dynamics of gene regulatory networks that may help reconcile these inconsistencies. The concepts of gene expression state space and attractors are introduced which provide a mathematical and molecular basis for an "epigenetic landscape". We then describe how cancer cells are trapped in "embryonic attractors" because of distortions of this landscape caused by mutational rewiring of the regulatory network. The implications of this concept for a new integrative understanding of tumor formation and metastatic progression are discussed. This formal framework of cancer progression unites mainstream genetic determinism with alternative ideas that emphasize non-genetic influences, including chronic growth stimulation,extracellular matrix remodeling, alteration of cell mechanics and disruption of tissue architecture.

MeSH Terms
Breast Neoplasms/genetics,pathology Cell Transformation, Neoplastic/genetics Disease Progression Epigenesis, Genetic Gene Expression Regulation, Neoplastic Humans Models, Biological Neoplasm Metastasis/genetics,physiopathology Nonlinear Dynamics
Authors & Affiliations
2 authors, click to expand affiliations / ORCID
Huang Sui
Vascular Biology Program, Department of Surgery, Children's Hospital and Harvard Medical School, Boston, MA 02115, USA. [email protected]
Ingber Donald E
Article Info
Journal
Breast disease
Abbr.
Breast Dis
ISSN
0888-6008
Published
2006-00-00
Pages
27-54
Language
English
Region
Netherlands
NLM ID
8801277
Subset
IM
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: [email protected]