Omic Data, Information Derivable and Computational Needs

  • Ying Xu
  • Juan Cui
  • David Puett
Chapter

Abstract

Cancer is probably the most complex class of human diseases. Its complexity lies in: (1) its rapidly evolving population of cells that drift away from their normal functional states at the molecular, epigenomic and genomic levels, (2) its growth and expansion to encroach and replace normal tissue cells; and (3) its abilities to resist both endogenous and exogenous measures for stopping or slowing down its growth. According to Hanahan and Weinberg, cancer cells, regardless of the type, tend to have eight hallmark characteristics (Hanahan and Weinberg 2011). As introduced in Chap. 1, these hallmarks are: (1) reprogrammed energy metabolism, (2) sustained cell-growth signaling, (3) evading growth suppressors, (4) resisting cell death, (5) enabling replicative immortality, (6) inducing angiogenesis, (7) avoiding immune destruction, and (8) activating cell invasion and metastasis. Other authors have suggested some additional hallmarks of cancer such as tumor-promoting inflammation (Colotta et al. 2009) and deregulated extracellular matrix dynamics (Lu et al. 2012). These recognized hallmarks have provided an effective framework for addressing cancer-related questions, having led to a deeper understanding of this disease. However, the reality is that our overall ability in curing cancer has not yet made substantive improvements, particularly in adult cancers that account for 99 % of all cancers since the start of the “War on Cancer” in 1971 (The-National-Cancer-Act 1971).

Keywords

Cholesterol Fermentation Hepatitis Estrogen Dementia 

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Copyright information

© Springer Science+Business Media New York 2014

Authors and Affiliations

  • Ying Xu
    • 1
  • Juan Cui
    • 2
  • David Puett
    • 1
  1. 1.Department of Biochemistry and Molecular BiologyUniversity of GeorgiaAthensUSA
  2. 2.Department of Computer Science and EngineeringUniversity of NebraskaLincolnUSA

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