New Discovery Will Greatly Increase The Anti-cancer Efficacy of Oncolytic Viruses
Researchers at the Mayo Clinic have discovered that a molecular communication pathway has a great effect in the decision to treat measles virus oncolytic therapy for ovarian cancer and malignant brain tumors, while previously this pathway for tumors was considered to be defective.
- New York, NY (1888PressRelease) June 28, 2018 - This finding prompted researchers to develop an algorithm that can predict the therapeutic efficacy of patients, and the relevant research results were recently published in the Journal of the National Cancer Institute.
‘This finding and this algorithm will help us to personalize the treatment of patients that are most suitable for the treatment of oncolytic viral therapy,’ said Dr. Evania Galanis, the correspondent author of this study, ‘We will also know which patients will benefit from combined therapy with oncology virus therapy and other immunotherapy.’
Until now, researchers have been arguing that there is a defect in this activated pathway in the tumor called the interferon response pathway. However, this is not the case according to the latest research results of researchers. They tested genetic mutations and signals that might reflect the efficacy of viral therapies.
Researchers conducted relevant experiments on human ovarian cancer and brain cancer mouse models and patients. They found that a stronger gene signal can predict treatment sensitivity and tolerability, subsequent studies also found that treatment with ruxantinib (an FDA-approved drug for the treatment of hematological malignancies) can overcome drug resistance. This drug targets the interferon response pathway and can increase the efficacy of the measles oncolytic virus therapy by 1000 times.
The researchers believe that these findings will help select the right patient in future clinical trials involving oncolytic viruses, meanwhile, It will change the design of this new therapy and its application in the clinic, including the development of effective combination therapies.
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