Effects of breast fibroepithelial tumor associated retinoic acid receptor alpha ligand binding domain mutations on receptor function and retinoid signaling
Year: 2022
Type: preprint
Abstract: Point mutations in the ligand binding domain of retinoic acid receptor alpha (RARα) have been implicated in breast fibroepithelial tumors development. However, their role in the tumorigenesis of solid tumors is currently unknown. In this study, using a combination of biochemical and cellular assays, we evaluated the functional consequences of known tumor associated RARα mutations on retinoic acid signaling. All of the clinically associated mutants tested showed diminished transcriptional activities compared to wild type RARα. These mutants also exhibited a dominant negative effect, an activity which has previously been linked to developmental defects and tumor formation in mice. X-ray crystallography showed that mutants remain relatively intact structurally and the loss of transcriptional activity is due to altered co-activator recruitment. In agreement with our biochemical analyses, transcriptomics and cell growth analysis showed that the mutant RARα proteins confer resistance to growth inhibition in the presence of its ligand in phyllodes tumor cells. Although the mutations impair the receptor responses to retinoic acid, certain mutant RARα are partially reactivatable with alternative synthetic agonists. Our data provide insights into the mechanisms by which RARα mutations impact tumorigenesis.
Institutions: National University of Singapore, Duke-NUS Medical School, Cancer Science Institute of Singapore, National Cancer Centre Singapore, Agency for Science, Technology and Research, Institute of Molecular and Cell Biology, Nanyang Technological University, Singapore General Hospital, Genome Institute of Singapore, Duke University, SingHealth, SingHealth Duke-NUS Academic Medical Centre
Language: English
Subfield: Molecular Biology
Domain: Life Sciences
Open Access status: green
Awards: G3958076301, G5263780688, G8944599265
OpenAlex ID: W4311298392
