System biology embedded in Cancer Therapy

The transformation of normal cells into cancer cells and preservance of the malignant state and phenotypes are associated with genetic and epigenetic deregulations, altered cellular signaling responses and aberrant interactions with the microenvironment. These alterations are constantly evolving as tumor cells face changing selective pressures induced by the cells themselves, the microenvironment and drug treatments. Tumors are also complex ecosystems where distant, sometime heterogeneous, subclonal tumor populations and a variety of nontumor cells coexist in a constantly evolving manner. The interactions between molecules and between cells that arise as a result of these alterations and ecosystems are even more complex. The cancer research community is progessively embracing this complexity and adopting a combination of systems biology methods and integrated analyses to understand and predictively model the activity of cancer cells. Systems biology approaches are helping to understand the mechanisms of tumor progression and design more effective cancer therapies.

  • Computational modeling and bioinformatics
  • Approach in trancriptomics, Metabolomics and high throughput techniques
  • Emerging field of Functional genomics and molecular biology
  • Cancer system biology
  • 3D structure, epigenetics
  • Data integration, modelling and prediction

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