Abstract
Chemotherapy is the firsthand choice of any cancer therapy including leukemia. However, immunosuppression is commonly seen in leukemic patients. So for the management of leukemia, cytokine-based immunotherapy is also suggested as either a combination therapy along with the conventional chemotherapy or alone. However, therapy is applied on individual patients on the basis of evidence-based medicine, i.e., population-based statistical analysis and/or on the basis of clinicians’ personal experience. Here, we propose an analytical rationality for therapeutic selection among these two options. Our simulation runs suggest that choice would be based on individual patients’ patho-physiological state like immunity profile or another hematological status. Simulation runs also suggest that in some cases chemotherapy may bring detrimental effect and direct immunotherapy would be beneficial for long-term successful therapeutic outcome. Further, this model helps in the optimization of cytokine-based immunotherapy protocol.
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Acknowledgements
PKD is pursuing Ph.D. from Jadavpur University. All authors acknowledge the logistic support provided by Society for Systems Biology & Translational Research.
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Dhar, P.K., Naskar, T.K., Majumder, D. (2018). Optimal Choice Between Chemotherapy and Immunotherapy for Leukemia Treatment Depends on Individual Patients’ Patho-physiological State. In: Pattnaik, P., Rautaray, S., Das, H., Nayak, J. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 710. Springer, Singapore. https://doi.org/10.1007/978-981-10-7871-2_62
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DOI: https://doi.org/10.1007/978-981-10-7871-2_62
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