Drug Tolerant Persisters (DTP)s

Colorectal cancer is the third most common cause of cancer-related deaths globally. DTPs, cells in a conserved and transient state of chemotherapy tolerance, provide a new avenue to target colorectal cancer tumors before genetic chemoresistance develops. Our research focuses on better understanding DTPs and identifying genes, proteins and pathways that can be manipulated to specifically target cells and tumors in the DTP-state.

Research Topics

Autophagy and Apoptosis

DTP-state colorectal cancer cells can hijack the autophagy and apoptosis pathways to avoid killing by chemotherapy. We aim to identify proteins at the intersection of autophagy and apoptosis to effectively target both pathways and prohibit the ability of DTPs to survive treatment.

RNA Biology and Metabolism

The transcriptome of DTP cells is dramatically dysregulated. We are interested in examining upstream RNA interactors, specifically microRNA (miRNA) and RNA modifications to identify the role of RNA biology and metabolism in generating and maintaing DTPs.

Cholesterol Biosynthesis

One of the main pathways altered in DTP cells is cholesterol biosynthesis, specifically cholesterol efflux. We are interersted in examining the role of cholesterol biosynthesis in maintaining DTPs with hopes that we can one day manipulate the pathway to specifically target DTPs.

Model Expansion

Our lab primarily focuses on DTPs in colorectal cancer, however we believe DTPs can be found in a variety of cancers, particularly those that are prone to chemoresistance. We are working on deepening our understanding of DTP biology by expanding into other cancer models.

Screening Platforms

Like all cancer cells, DTPs are tricky to target. We are developing multiple screens to identify the specific proteins involved in their survival. Currently, we are focused on an EPI-drug library, and a miRNA screen. We are also in the processes of generating a drug-screen using patient samples.

Signature Development

Nearly all patients with colorectal cancer will unfortunately suffer from tumor relapse. Using our sequencing data, we aim to develop a ‘DTP-signature’ that can be implemented in clinic to identify patients more likely to require future intervention.