Genetic information analysis platform oncobox

• Main Authors: Garazha, Andrey Vladimirovich, Zolotovskaya, Marianna Arsenovna, Borisov, Nikolai Mikhailovich, Nikitin, Daniil Mikhailovich, Sorokin, Maksim Igorevich, Tkachev, Viktor Sergeevich, Buzdin, Anton Alexandrovich
• Format: Patent
• Language: English
• Published: 28.03.2023
• Subjects: HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATIONTECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING ORPROCESSING OF MEDICAL OR HEALTHCARE DATA; INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTEDFOR SPECIFIC APPLICATION FIELDS; INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIRCHEMICAL OR PHYSICAL PROPERTIES; MEASURING; PHYSICS; TESTING

The invention describes the method allowing for efficient predictive ranking of clinical efficiencies of the existing targeted medicinal products for individual patient with proliferative or oncology disease. The method makes it possible to use a wide range of experimental data received from the patients' pathological tissue samples and relevant control samples: information on gene mutations, transcription factor binding profile, protein (considering harmonization), mRNA (considering harmonization) and microRNA expression strength. The method also uses information on molecular targets of the medicinal products. This method can be automated to prevent potential errors associated with manual calculation and makes it possible to consider patient-specific changes in hundreds and thousands molecular pathways which include tens and hundreds of gene products. This method also considers the features and mode of action of various classes of target drugs. Using this method will enable selecting a medicinal product for the patient based on the analysis of objective individual changes occurred in the pathological tissue.