About the group
Research in the Cancer Bioinformatics group centres around the application of computational methods to two areas of triple-negative breast cancer (TNBC) biology: genomic instability, and the interplay between tumour cells and the immune system. By elucidating the biology of TNBCs, we aim to identify potential therapeutic targets and develop biomarkers for patient stratification.
Using data from high-throughput assays, we establish algorithms to measure different patterns of genomic instability, their transcriptional readouts, and their relationships to drug sensitivity in the neo-adjuvant, adjuvant and metastatic settings with the aim of understanding the changes that drive TNBCs. By working closely with Professor Andrew Tutt, oncologist and director of Breast Cancer Now, and associated with the Section of Research Oncology, we are able to draw upon clinical trial data and tumour specimen data to establish and test our computational techniques.
In a joint programme with Professor Adrian Hayday's group, we explore statistical means of capturing the transcriptional and protein network profiles of TNBCs with a special focus on the NKG2D/T-cell axis of the immune system. In parallel, we collaborate with Professor Sarah Pinder to assess the impact on disease progression of the diverse immune/stromal features observed in TNBC specimens.