TY - JOUR
T1 - A novel gene expression analytics-based approach to structure aided design of rexinoids for development as next-generation cancer therapeutics
AU - Hanish, Bentley J.
AU - Hackney Price, Jennifer
AU - Kaneko, Ichiro
AU - Ma, Ning
AU - van der Vaart, Arjan
AU - Wagner, Carl
AU - Jurutka, Peter
AU - Marshall, Pamela
N1 - Funding Information:
This work was supported by the National Institutes of Health National Cancer Institute (Grant 1 R15 CA139364-01A2 ) and a Women and Philanthropy Grant, both to CEW, PWJ, and PAM. We wish to thank Julie Furmick for initial microarray experimental work. PAM wishes to thank the Genome Consortium for Active Teaching for initial microarray training and support for this project. Many thanks to Roger Berger, Anthony Falsetti, and Lara Ferry for discussions of data analysis and to Michael Heck for discussions of the gene list. We thank Skysong Innovations (formerly AzTE) for ongoing intellectual property support of our work. Computer time was provided by USF Research Computing, sponsored in part by NSF MRI CHE-1531590 to AvdV.
Publisher Copyright:
© 2018 Elsevier Inc.
PY - 2018/7
Y1 - 2018/7
N2 - Rexinoids are powerful ligands that bind to retinoid-X-receptors (RXRs) and show great promise as therapeutics for a wide range of diseases, including cancer. However, only one rexinoid, bexarotene (Targretin TM) has been successfully transitioned from the bench to the clinic and used to treat cutaneous T-cell lymphoma (CTCL). Our goal is to develop novel potent rexinoids with a less untoward side effect profile than bexarotene. To this end, we have synthesized a wide array of rexinoids with EC50 values and biological activity similar to bexarotene. In order to determine their suitability for additional downstream analysis, and to identify potential candidate analogs for clinical translation, we treated human CTCL cells in culture and employed microarray technology to assess gene expression profiles. We analyzed twelve rexinoids and found they could be stratified into three distinct categories based on their gene expression: similar to bexarotene, moderately different from bexarotene, and substantially different from bexarotene. Surprisingly, small changes in the structure of the bexarotene parent compound led to marked differences in gene expression profiles. Furthermore, specific analogs diverged markedly from our hypothesis in expression of genes expected to be important for therapeutic promise. However, promoter analysis of genes whose expression was analyzed indicates general regulatory trends along structural frameworks. Our results suggest that certain structural motifs, particularly the basic frameworks found in analog 4 and analog 9, represent important starting points to exploit in generating additional rexinoids for future study and therapeutic applications.
AB - Rexinoids are powerful ligands that bind to retinoid-X-receptors (RXRs) and show great promise as therapeutics for a wide range of diseases, including cancer. However, only one rexinoid, bexarotene (Targretin TM) has been successfully transitioned from the bench to the clinic and used to treat cutaneous T-cell lymphoma (CTCL). Our goal is to develop novel potent rexinoids with a less untoward side effect profile than bexarotene. To this end, we have synthesized a wide array of rexinoids with EC50 values and biological activity similar to bexarotene. In order to determine their suitability for additional downstream analysis, and to identify potential candidate analogs for clinical translation, we treated human CTCL cells in culture and employed microarray technology to assess gene expression profiles. We analyzed twelve rexinoids and found they could be stratified into three distinct categories based on their gene expression: similar to bexarotene, moderately different from bexarotene, and substantially different from bexarotene. Surprisingly, small changes in the structure of the bexarotene parent compound led to marked differences in gene expression profiles. Furthermore, specific analogs diverged markedly from our hypothesis in expression of genes expected to be important for therapeutic promise. However, promoter analysis of genes whose expression was analyzed indicates general regulatory trends along structural frameworks. Our results suggest that certain structural motifs, particularly the basic frameworks found in analog 4 and analog 9, represent important starting points to exploit in generating additional rexinoids for future study and therapeutic applications.
KW - Analytics
KW - Cancer
KW - Gene expression
KW - Microarrays
KW - RXR
KW - Rexinoids
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U2 - 10.1016/j.steroids.2018.04.009
DO - 10.1016/j.steroids.2018.04.009
M3 - Article
C2 - 29704526
AN - SCOPUS:85046776226
SN - 0039-128X
VL - 135
SP - 36
EP - 49
JO - Steroids
JF - Steroids
ER -