Tumor RNA analysis can help you choose an effective drug

Employees of the Institute of Personalized Oncology at Sechenov University have started practical application of an algorithm developed by them, which is designed for automatic analysis of RNA sequencing data of cancer cells and selection of a target drug that will be most effective for a particular patient. The program was developed with the participation of employees of MIPT and other Russian scientific organizations.

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Nowadays, only those patients who have diagnostic mutations in DNA are treated with drugs targeting specific targets. However, this is only 15-20% of patients with malignant tumors. In the majority, these markers are simply not found. The developed algorithm will help to prescribe targeted therapy for almost all patients with cancer diagnoses.

"Matching therapies based on RNA profiles significantly increases the chance of finding a truly effective treatment for an individual patient. Routinely used today, treatment selection based on diagnostic DNA mutations is useful for only 15-20% of cancer patients, since the rest simply do not have such mutations in their tumors. Determining treatment tactics based on RNA analysis will be useful for almost all patients. The introduction of this technology will help to increase the life expectancy of tens of thousands of patients with late-stage tumors," said Anton Buzdin, chief researcher at the Institute of Personalized Oncology of Sechenov University, professor of the Russian Academy of Sciences.

Read more in the exclusive material "Izvestia":

Onco savvy: tumor RNA analysis will help choose an effective drug