This application continues the investigation of short chain fatty acid-N-acetylmannosamine (SCFA-ManNAc) analogs represented by the lead compound Bu4ManNAc. This hybrid molecule derives HDACi growth inhibitory activity from its n-butyrate (Bu) groups and increases metabolic flux through the sialic acid biosynthetic pathway due to ManNAc generated after complete removal of n-butyrate by esterases. During the initial funding period of this project, it was discovered that partial hydrolysis products of Bu4ManNAc (e.g., 3,4,6-O-Bu3ManNAc) have a third mode of activity that suppresses the invasive potential of metastatic breast cancer cells at subcytotoxic doses. Because of the largely unmet and urgent clinical need for anti-metastatic therapeutics, the second funding period will investigate the mechanism underlying this newly found anti-cancer activity by focusing on the ability of the analogs to inhibit NF-kB (Aim 1) and alter glycosylation (Aim 2);in tandem, the current emphasis on cell-based assays will be transitioned into animal-level testing (Aim 3). In more detail, Specific Aim 1 will investigate the hypothesis that novel anti-cancer properties of a subset of SCFA-ManNAc analogs are a consequence of NF-kB inhibition through (at least in part) direct binding to pathway elements such as NFKB1;an auxiliary purpose of this investigation is to discover or design more highly and efficacious analogs for animal testing.
In Specific Aim 2, mass spectrometry and bioinformatics strategies will be used to conduct a glycomics analysis of analog-treated cells;this work will provide a method for pharmacokinetic tracking of analog metabolism in vivo and will also shed mechanistic insights into the role of glycans in metastasis. Finally, Specific Aim 3 will transition this project into animal testing in rodents to determine oral availability, safety, pharmacokinetic properties and organ distribution, and efficacy in metastatic cancer models. Together, these experiments will substantially advance both the mechanistic and translational prospects for SCFA-ManNAc analogs, an emerging class of sugar-based cancer drug candidates.

Public Health Relevance

The ultimate goal of this project is to develop a new class of sugar-based cancer drugs to treat metastatic cancer. Based on the current lack of effective therapeutic agents for virtually all types of highly malignant disease, combined with the hundreds of thousands of new cases of cancer annually, there is clearly an urgent public health need for the drug candidates under development. This project is designed to propel the testing of this emerging class of therapeutics from cell-based assays to rodent models, which will in turn set the stage for translation to clinical testing in humans.

Agency
National Institute of Health (NIH)
Institute
National Cancer Institute (NCI)
Type
Research Project (R01)
Project #
5R01CA112314-07
Application #
8243619
Study Section
Drug Discovery and Molecular Pharmacology Study Section (DMP)
Program Officer
Fu, Yali
Project Start
2004-12-01
Project End
2015-03-31
Budget Start
2012-04-01
Budget End
2013-03-31
Support Year
7
Fiscal Year
2012
Total Cost
$306,834
Indirect Cost
$119,740
Name
Johns Hopkins University
Department
Biomedical Engineering
Type
Schools of Engineering
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
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Buettner, Matthew J; Shah, Sagar R; Saeui, Christopher T et al. (2018) Improving Immunotherapy Through Glycodesign. Front Immunol 9:2485
Saeui, Christopher T; Liu, Lingshu; Urias, Esteban et al. (2018) Pharmacological, Physiochemical, and Drug-Relevant Biological Properties of Short Chain Fatty Acid Hexosamine Analogues Used in Metabolic Glycoengineering. Mol Pharm 15:705-720
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Sun, Shisheng; Shah, Punit; Eshghi, Shadi Toghi et al. (2016) Comprehensive analysis of protein glycosylation by solid-phase extraction of N-linked glycans and glycosite-containing peptides. Nat Biotechnol 34:84-8
Yang, Weiming; Jackson, Brooks; Zhang, Hui (2016) Identification of glycoproteins associated with HIV latently infected cells using quantitative glycoproteomics. Proteomics 16:1872-80

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