Omic Data, Information Derivable and Computational Needs

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