Breast cancer is detectable from peripheral blood using machine learning over T cell repertoires

To see if TCR repertoire obtained from peripheral blood is associated with tumor status, we collected blood samples from 98 women with or without breast cancer and produced T cell receptor information. Using machine learning, we stratified, with high success rates, the two groups, thereby associating peripheral blood T cell repertoire with the existence of breast cancer tumors.