Mathematical Models being Crucial in Development of Novel Strategies for Cancer Treatment

Abstract

Selection and optimisation of therapeutic approaches in cancer necessitate a thorough awareness of the complicated dynamics of the multifactorial disease. Cancer is a complex multifactorial disease that has extensive and non-exhaustive mechanisms of disease prognosis and variable responses to therapeutics. Mathematical models play a crucial role in comprehending the complexities of tumour dynamics including growth, tumour heterogeneity, relations amongst tumours and the immune response. The understanding of resistance to anticancer therapies has increased as our awareness of inter-tumour and intra-tumour heterogeneity and cancer progression has grown over the course of time. Model-based strategies can be utilised for personalised treatments which will improve the chances of overcoming resistance to therapies. For better interpretation of cancer therapeutics, numerous mathematical models have been constructed. Because of the gap in elucidation of biological mechanisms and prognosis of cancer, such mathematical models play a role in better analysis of molecular pathways in order to develop potent therapeutic alternatives. Mathematical models and their assessment pose promise to substantially aid in the development of more effective regimens for treating cancer. In this review, we will be discussing different existing mathematical models, their prospects and significance with respect to tumour progression pathways and treatment strategies for cancer.