Advances in human genetics have identified +400 genes that when amplified or mutated promote tumorigenesis. While there has been huge success in developing drugs for kinases and metabolic enzymes deregulated in cancer, they represent only a small fraction of the cancer drivers discovered to date. A major challenge in cancer research is developing drugs for oncogenic drivers. The vast majority (~80%) of these cancer drivers remain undrugged, including one of the largest classes, transcription factors (TFs) which account for ~19% of oncogenes. These TFs are normally required during development, however, are hijacked during tumorigenesis providing malignant cells with the plasticity required for unchecked proliferation. Although these oncogenic TFs have been biologically credentialed, they are historically considered difficult to target with small-molecule inhibitors, limiting the development of transformative cancer therapies. To overcome these challenges in cancer drug discovery and address the clear unmet needs in cancer treatment, our lab adopts state-of-the-art chemical proteomic platforms that both radically expand the druggable protein landscape in cancer and allow us to pinpoint which proteins are amenable to small molecule inhibition. These chemical proteomic technologies combine the specificity of chemical probes which only react with proteinaceous cysteines with the comprehensive analytical scale of next generation proteomics. Cysteines play critical roles in protein function and are the targets of multiple clinically approved inhibitors. By profiling their interaction with covalent drug-like fragments, we recently discovered that a much larger extant of the proteome than originally predicted is amenable to covalent druggability. While these chemical proteomic approaches have transformed our notion of which proteins are druggable, they remain ill-equipped (due to sensitivity of detection) to determine cysteine druggability on low abundance oncogenic transcription factors. In this grant application, we build on our core chemical proteomic platform and incorporate advances in protein and organelle enrichment technologies to prosecute the druggabilty of high-priority oncogenic TFs by developing two conceptually new and complimentary approaches: 1) By isolating chromatin bound proteins, we enrich for active TFs, enabling us to use traditional chemical proteomic approaches to provide a high content map of druggable cysteines in oncogenic TFs. 2) We develop Enrichment Cysteine Druggability Mapping (ECDM) which allows us to systematically immunoprecipitate and enrich low-abundance TFs and rapidly interrogate the druggabilty of cysteines found in these factors in a period of 18 minutes compared to 30 hours using standard approaches. The research proposed herein, takes full advantage of advances in human genetics and functional genomics and combines them with ultra-high throughput chemical proteomic technologies to define the druggability of TF cancer drivers, a critical first step in the development of targeted therapies. If successful, the development of these drug-discovery platforms has the potential to reshape the next-generation of targeted anti-cancer therapeutics.

Public Health Relevance

Transcription factors (TFs) encompass one of the largest classes of oncogenes and are deregulated in multiple cancers. However, TFs are conventionally considered difficult to target with small molecule inhibitors, limiting the development of transformative cancer therapies. The goal of this application is to develop advanced chemical proteomic platforms to expand the druggable proteome and identify which oncogenic TFs are amenable to small molecule inhibition, laying the ground work for developing pharmacological agents against these factors.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Exploratory/Developmental Grants (R21)
Project #
1R21CA256082-01
Application #
10113070
Study Section
Special Emphasis Panel (ZCA1)
Program Officer
Amin, Anowarul
Project Start
2021-03-01
Project End
2024-02-28
Budget Start
2021-03-01
Budget End
2022-02-28
Support Year
1
Fiscal Year
2021
Total Cost
Indirect Cost
Name
Massachusetts General Hospital
Department
Type
DUNS #
073130411
City
Boston
State
MA
Country
United States
Zip Code
02114