Both system biology and cancer immunotherapy are emerging fields in life
sciences research. Immunotherapy is considered as targeted treatment modalities for
cancer. However, the complex nature of the tumor environment affects the efficacy and
clinical outcome of this type of therapy. Combination therapy can be a solution. But
this requires investigation at the cellular and molecular level of effect of the drugs.
Systems biology is such a powerful tool, which allows the cellular level understanding
and has been used in target discovery and validation in different fields of cancer
research. Despite this advantage, challenges exist in large dataset mining. In this
concluding chapter, we discuss some of the challenges and possible future directions
that may help to overcome this problem.
Keywords: Animal models, Cancer, Inflammation, Software tools, Systems
biology, Targets, Validation.
