Nearly all cancer cells acquire abnormalities in their genomes, such as mutations, abnormal chromosome numbers (i.e., aneuploidy) and chromosomal rearrangements. This process is referred to as genomic instability. Genomic instability represents one of the most malignant features of cancer cells, because it can cause cancer, it accelerates cancer progression and it enables tumour cells to become resistant to therapies. Our laboratory aims to understand the mechanisms of genomic instability in cancer, as well as to explore how the consequences of genomic instability can lead to drug resistance or can be used as opportunities to develop new cancer treatments.
To do this, we use a broad range of wet-lab and dry-lab approaches, including molecular pathology, 2D and 3D cell models, mouse models, functional genomics, pharmacogenomics, ‘omics’ (DNA-seq, RNA-seq, scRNA-seq, SNP6 arrays) from patient samples and cell lines, computational biology, bioinformatics, systems biology and machine learning.