HOMEPRODUCTSCOMPANYCONTACTFAQResearchDictionaryPharmaSign Up FREE or Login

Reed's Syndrome: A Case of Multiple Cutaneous and Uterine Leiomyomas.

Abstract
Multiple cutaneous and uterine leiomyomatosis, also known as Reed's syndrome, is an autosomal dominant genetic condition. Affected individuals have an increased predisposition to develop benign smooth muscle tumors (leiomyomas) in the skin and uterus. Affected females frequently develop uterine leiomyomas (fibroids) that are larger and more numerous and emerge earlier than those in the general population. Subsets of these patients are at risk for renal cell cancer and have been determined to have mutations in the fumarate hydratase gene. In individuals or families without renal cell cancer, the syndrome may be referred to as multiple cutaneous leiomyomatosis or multiple cutaneous and uterine leiomyomatosis. The term hereditary leiomyomatosis and renal cell cancer refers to families with an increased prevalence of smooth muscle tumors and renal cell cancer as a result of the fumarate hydratase genetic defect. In this article, the authors introduce a case of a young woman who presented with multiple, intermittently painful, cutaneous leiomyomas and a history of large uterine fibroids previously causing anemia and requiring surgical intervention. Further investigation revealed a family history of mutations in the fumarate hydratase gene. The patient is currently being monitored by the National Institutes of Health.
AuthorsJason J Emer, Shayna Solomon, Stephen E Mercer
JournalThe Journal of clinical and aesthetic dermatology (J Clin Aesthet Dermatol) Vol. 4 Issue 12 Pg. 37-42 (Dec 2011) ISSN: 2689-9175 [Electronic] United States
PMID22191007 (Publication Type: Case Reports)

Join CureHunter, for free Research Interface BASIC access!

Take advantage of free CureHunter research engine access to explore the best drug and treatment options for any disease. Find out why thousands of doctors, pharma researchers and patient activists around the world use CureHunter every day.
Realize the full power of the drug-disease research graph!


Choose Username:
Email:
Password:
Verify Password:
Enter Code Shown: