A group of researchers at the Indian Institute of Technology, Madras, have developed an Artificial Intelligence-based tool that can predict cancer-causing genes in an individual. This paves the way for helping doctors better diagnose patients and to devise personalized treatment strategies.
The tool, which has been named PIVOT, is designed to predict which cancer-causing genes are present in a given sample, based on a model that utilizes information on mutations, expression of genes, and several variations in genes and perturbations in the biological network due to an altered gene expression.
“Cancer, being a complex disease, cannot be dealt with in a one-treatment-fits-all fashion. As cancer treatment increasingly shifts towards personalized medicine, such models that build toward pinpointing differences between patients can be beneficial,” said Dr. Karthik Raman, Core Member, RBCDSAI, IIT Madras, in a statement.
The tool, described in a peer-reviewed journal Frontier in Genetics, is based on a machine learning model that classifies tumor suppressor genes, oncogenes, or neutral genes.
According to the World Health Organization, cancer is a leading cause of death worldwide and accounted for nearly one in six deaths in 2020. This figure stands true, despite the COVID-19 pandemic.
Present cancer treatments- like chemotherapy or radiation therapy- are known to be detrimental to the patient’s overall health. Knowledge of the genes responsible for the initiation and progression of cancer in patients can help determine the combination of drugs and therapy most suitable for a patient’s recovery.
The new tool successfully predicted both the existing oncogenes and tumor-suppressor genes like TP53, and PIK3CA, among others, and new cancer-related genes such as PRKCA and SOX9, and PSMD4.
The researchers built AI prediction models for three types of cancer: invasive breast carcinoma, colon adenocarcinoma, and lung adenocarcinoma.
“The research area of precision medicine is still at a nascent stage. PIVOT helps push these boundaries and presents prospects for experimental research based on the genes identified,” said Malvika Sudhakar, Research Scholar, IIT Madras.
The researchers built AI prediction models for three types of cancer: invasive breast carcinoma, colon adenocarcinoma, and lung adenocarcinoma.
“The research area of precision medicine is still at a nascent stage. PIVOT helps push these boundaries and presents prospects for experimental research based on the genes identified,” said Malvika Sudhakar, Research Scholar, IIT Madras.
The team is planning to extend PIVOT further to many more cancer types. The team is also working on a list of personalized cancer-causing genes that can help identify the suitable drug for patients based on their cancer profile.
