A Unique Class of Genetic Variants
Tumor-specific biomarkers like HER2, EGFR, and BRCA are used in specific cancer types to guide cancer treatment decisions. However, these markers are limited in their ability to predict differences in how individual patients will respond to these targeted treatments, nor can they predict what side effects patients may experience.
At MiraDx, we focus on a unique class of patient-specific inherited biomarkers, SNPs within microRNA pathways (mirSNPs), to predict both treatment efficacy and the risk of adverse side effects for cancer patients.
Using mirSNPs to Predict Treatment Toxicity and Response
Our research has pinpointed specific combinations of mirSNPs as promising biomarkers for predicting cancer treatment toxicity. In contrast to clinical or treatment factors, these biomarkers are inherited genetic variations in individuals that drive atypical responses to therapies, including radiation. For example, our PROSTOX diagnostic panel of mirSNPs identifies prostate cancer patients at risk for late-onset toxicity from radiation therapy. By assessing specific combinations of these mirSNPs, PROSTOX can help determine which radiation regimen will be best tolerated, thus reducing the risk of radiation therapy side effects by enabling patient and physician choice.
Our Tests
In Research
PREVIOTOX
Helps physicians identify the risk of adverse events to immune checkpoint inhibitors.
Learn more