Literature DB >> 19595782

Cancer attractors: a systems view of tumors from a gene network dynamics and developmental perspective.

Sui Huang1, Ingemar Ernberg, Stuart Kauffman.   

Abstract

Cell lineage commitment and differentiation are governed by a complex gene regulatory network. Disruption of these processes by inappropriate regulatory signals and by mutational rewiring of the network can lead to tumorigenesis. Cancer cells often exhibit immature or embryonic traits and dysregulated developmental genes can act as oncogenes. However, the prevailing paradigm of somatic evolution and multi-step tumorigenesis, while useful in many instances, offers no logically coherent reason for why oncogenesis recapitulates ontogenesis. The formal concept of "cancer attractors", derived from an integrative, complex systems approach to gene regulatory network may provide a natural explanation. Here we present the theory of attractors in gene network dynamics and review the concept of cell types as attractors. We argue that cancer cells are trapped in abnormal attractors and discuss this concept in the light of recent ideas in cancer biology, including cancer genomics and cancer stem cells, as well as the implications for differentiation therapy.

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Year:  2009        PMID: 19595782      PMCID: PMC2754594          DOI: 10.1016/j.semcdb.2009.07.003

Source DB:  PubMed          Journal:  Semin Cell Dev Biol        ISSN: 1084-9521            Impact factor:   7.727


  67 in total

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Review 3.  Stem cell states, fates, and the rules of attraction.

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Journal:  Cell Stem Cell       Date:  2009-05-08       Impact factor: 24.633

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Authors:  S J Gould; R C Lewontin
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Review 5.  Somatic evolution of cancer cells.

Authors:  C Richard Boland; Ajay Goel
Journal:  Semin Cancer Biol       Date:  2005-12       Impact factor: 15.707

Review 6.  Nature, nurture, or chance: stochastic gene expression and its consequences.

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Journal:  Cancer Cell       Date:  2007-12       Impact factor: 31.743

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Journal:  Cell       Date:  1980-05       Impact factor: 41.582

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10.  Analysis of gene expression in a developmental context emphasizes distinct biological leitmotifs in human cancers.

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  151 in total

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Review 4.  Convergence of spectrums: neuronal gene network states in autism spectrum disorder.

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6.  Single cell heterogeneity: why unstable genomes are incompatible with average profiles.

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Journal:  Cell Cycle       Date:  2013-10-01       Impact factor: 4.534

7.  Algorithmic methods to infer the evolutionary trajectories in cancer progression.

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8.  Extracting a biologically relevant latent space from cancer transcriptomes with variational autoencoders.

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9.  Mathematical models of the transitions between endocrine therapy responsive and resistant states in breast cancer.

Authors:  Chun Chen; William T Baumann; Jianhua Xing; Lingling Xu; Robert Clarke; John J Tyson
Journal:  J R Soc Interface       Date:  2014-05-07       Impact factor: 4.118

Review 10.  Plasticity of tumour and immune cells: a source of heterogeneity and a cause for therapy resistance?

Authors:  Michael Hölzel; Anton Bovier; Thomas Tüting
Journal:  Nat Rev Cancer       Date:  2013-03-28       Impact factor: 60.716

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