A central challenge in developing personalized cancer cell immunotherapy is the identification of tumor-reactive T cell receptors (TCRs). By exploiting the distinct transcriptomic profile of tumor-reactive T cells relative to bystander cells, we build and benchmark TRTpred, an antigen-agnostic in silico predictor of tumor-reactive TCRs. We integrate TRTpred with an avidity predictor to derive a combinatorial algorithm of clinically relevant TCRs for personalized T cell therapy and benchmark it in patient-derived xenografts.
View Article and Find Full Text PDFThe spatial distribution of tumor-infiltrating lymphocytes (TIL) predicts breast cancer outcome and response to systemic therapy, highlighting the importance of an intact tissue structure for characterizing tumors. Here, we present ST-FFPE, a spatial transcriptomics method for the analysis of formalin-fixed paraffin-embedded samples, which opens the possibility of interrogating archival tissue. The method involves extraction, exome capture and sequencing of RNA from different tumor compartments microdissected by laser-capture, and can be used to study the cellular composition of tumor microenvironment.
View Article and Find Full Text PDFAims: As laboratories move towards 24 h a day working patterns, we aim to evaluate if expediting the availability of provisional blood culture results outside of normal working hours would derive clinical benefit.
Methods: 116 blood cultures flagging positive outside of conventional working hours (20:00-09:00) were studied. In each case, medical records were reviewed and cases discussed with clinicians to determine if earlier communication of results would have altered management and affected the outcome.