Grant to Enable Personalized Cancer Treatment
Notorious not only for its recurrence but also for its idiosyncratic response towards conventional treatment, cancer has held a diabolical status in the realm of health sciences for far too long. Rising up to the challenge of better understanding cancer at its biomolecular level, Dr. Safee Ullah Chaudhary was recently rewarded a grant worth Rs. 14 million, by the National Center in Big Data and Cloud Computing (NCBC), to get a panoramic understanding of how cancer works differently in different patients, by developing a cloud-based cancer modelling system along with a digital modelling library. The hope is to provide a one-of-its-kind personalized cancer treatment, that takes into account different parameters from both the disease as well as the patient.
Cancer databases comprising of gene, RNA and protein expressions will be combined with patient drug interaction information and patient profile using TISON (Theatre for In-Silico Systems Oncology), a powerful cancer modelling platform. This will be done for six clinical case study models i.e., Oral Cancer, Colorectal Cancer, Pancreatic Cancer, Neuroblastoma, Autophagy and Warburg Effect (a condition that leads to increase in the rate of glucose uptake and lactate production, even in the presence of oxygen).
Through this project, Dr. Safee Ullah intends to get a better understanding of biomolecular regulatory networks, that are rendered erroneous in the onset of cancer, and also create a model for cell responses to therapeutics. These models will then be integrated into decision circuits that can figure out the fate of each cell, leading to their import into cell lines. Eventually, a patient-specific therapeutic response can be catalogued and modelled that can help with better, more personal cancer treatments in the future.
Learn more about Dr. Safee's work here: Biomedical Informatics Research Laboratory (BIRL)
Our heartiest congratulations to Dr. Safee Ullah for getting this grant; we wish him success for this project.