CTD²: Cancer Target Discovery and Development

The Cancer Target Discovery and Development (CTD2) Network, a functional genomics initiative, bridges the gap between cancer genomics and biology. The Network aims to understand how tumor heterogeneity leads to drug resistance in order to develop optimal combinations of chemotherapy or small molecules in combination with immunotherapy. 

Banner for CTD squared program. Links to CTD squared program page
Last updated: January 03, 2019

News & Publications

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Diagram showing cancer cells spreading into the blood stream CRUK 448
CTD²
August 09, 2019

TP53, which encodes the tumor suppressor p53, is the most frequently mutated gene in human cancer. The selective pressures shaping its mutational spectrum, dominated by missense mutations, are enigmatic, and neomorphic gain-of-function (GOF) activities have been implicated. We used CRISPR-Cas9...

Schematic diagram of the pathway interaction within tumour cells
CTD²
August 07, 2019

Despite recent advances in targeted drugs and immunotherapy, cancer remains "the emperor of all maladies" due to almost inevitable emergence of resistance. Drug resistance is thought to be driven by genetic alterations and/or dynamic plasticity that deregulate pathway activities and regulatory...

Summary hypothesis of the effects of SOX4 on WNT5a and invasion.
CTD²
August 01, 2019

Sry‑Related HMG‑BOX‑4 (SOX4) is a developmental transcription factor that is overexpressed in as many as 23% of bladder cancer patients; however, the role of SOX4 in bladder cancer tumorigenesis is not yet well understood. Given the many roles of SOX4 in embryonic development and the context‑...

Bile Duct, Intrahepatic, Anatomy
CTD²
August 01, 2019

ATP-competitive Fibroblast Growth Factor Receptor (FGFR) kinase inhibitors, including BGJ398 and Debio1347, show antitumor activity in patients with intrahepatic cholangiocarcinoma (ICC) harboring activating FGFR2 gene fusions. Unfortunately, acquired resistance develops and is often associated...

Workflow for MethylMix-GE and MethylMix-PA.
CTD²
July 29, 2019

Aberrant DNA methylation disrupts normal gene expression in cancer and broadly contributes to oncogenesis. We previously developed MethylMix, a model-based algorithmic approach to identify epigenetically regulated driver genes. MethylMix identifies genes where methylation likely executes a...

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