Researchers at Baylor College of Medicine and have identified potent, highly specific compounds that interfere with bromodomain (BD)-containing proteins involved in cancer. The compounds, called BET BD1-inhibitors, are a starting point in the development of potentially more effective anti-cancer drugs with less side effects.
The team reports in the that the novel approach developed at Baylor’s (CDD) enables the screening of billions of compounds at once and precisely identifies potent drug-like molecules that bind to the cancer protein of interest. One key advantage of this approach is the price tag – these screens are a fraction of the cost of previous methods. In laboratory experiments with cells, the new BD1-inhibitors had marked anti-leukemic activity.
“BD-containing proteins are implicated in cancer, inflammation, infectious diseases and metabolic disorders and have emerged as potential drug targets in a variety of diseases,” said , one of the lead authors and assistant professor of hematology/oncology at Baylor and Texas Children’s. “Over a decade of research has shown that BD-inhibitors can help control cancer growth; however, when tested in clinical trials some had side effects and limited efficacy, halting further clinical development. This has encouraged our group to search for more effective BD-inhibitors.”
The researchers focused on identifying inhibitors specific for the first bromodomains (BD1) in the bromodomain and extra-terminal (BET) subgroup of human proteins. Recent research has shown that BD1 is very important in driving cancer, the researchers explained.
“To identify novel BD1-inhibitors, we took advantage of an innovative, faster and more cost-effective drug discovery tool called DNA-Encoded Chemistry Technology, which enables us to screen billions of compounds,” said first author , a staff scientist in the and the CDD at Baylor.
The more commonly used method for discovering drugs, called high throughput screening, involves screening at most a million compounds in individual test tubes. In contrast, by using DNA-Encoded Chemistry Technology, the team was able to screen 4 billion DNA-encoded molecules all in one test tube against BD1 to find one that would bind to it with high specificity when compared to binding to other bromodomains.
“DNA-Encoded Chemistry Technology enabled us to identify CDD-724, a compound that is highly selective for BD1. It is about 2,000 times better at inhibiting BD1 than at inhibiting other human bromodomains, including the second bromodomain (BD2) of the BET subgroup,” Modukuri said.
How does DNA-Encoded Chemistry Technology work?
“The DNA-Encoded Chemistry Technology process involves a simultaneous screen of billions of molecules, each one tagged with a DNA barcode,” said corresponding author , professor and chair of pathology and immunology and director of the Center for Drug Discovery at Baylor. “The molecules that ‘stick’ to the protein (in this case BD1) are identified by sequencing of their attached DNA barcode. This is a rapid drug discovery screen, and our study demonstrates its enormous potential to find unique candidates for anti-cancer drugs.”
To better understand why their BD1-inhibitor stands out over other inhibitors, the team joined forces with , associate professor of , who also is a member of the CDD and theat Baylor. The researchers conducted 3D molecular studies to determine the precise location on the BD1 protein to which the BD1-inhibitor binds. They discovered that the BD1-inhibitor binds to a shallow area on the BD1 protein – this is not seen in other BD1 inhibitors. This finding represents a new opportunity to explore other BD1-selective inhibitors.
“We are searching for highly specific, potent, effective compounds with reduced side effects that we can bring to the clinic,” said Yi, also a member of Baylor’s CDD and the Dan L Duncan Comprehensive Cancer Center. “We are ready to test these compounds in animal models to evaluate their safety and efficacy, which is one step closer to clinical trials.”
Zhifeng Yu, Zhi Tan, Hai Minh Ta, Melek Nihan Ucisik, Zhuang Jin, Justin L. Anglin, Kiran L. Sharma, Pranavanand Nyshadham, Feng Li, Kevin Riehle, John C. Faver, Kevin Duong, Sureshbabu Nagarajan, Nicholas Simmons, Stephen S. Palmer, Mingxing Teng and Damian W. Young also contributed to this work. The authors are affiliated with Baylor College of Medicine and/or Texas Children’s Hospital.
This work is supported by the Bill and Melinda Gates Foundation (INV-001902), the Eunice Kennedy Shriver ³Ô¹ÏÍøÕ¾ Institute of Child Health and Human Development (P01HD087157), the Welch Foundation (H-Q-0042), and a Core Facility Support Award from the Cancer Prevention Research Institute of Texas (CPRIT) (RP160805). Further support was provided by NIH grants (5K12CA090433-17, R01DK121970, R61HD099995, S10RR25528, S10RR028976, and S10OD027000), Alex’s Lemonade Stand Foundation, the Curing Kids Cancer Foundation, CURE Childhood Cancer Foundation, and CPRIT grants (RR220012 and RR220039).
