Genomic Alterations Found in Recurrent Uterine Sarcomas of African-American Women
ACOG ePoster. Geisler J. Apr 27, 2018; 211766; 18A
John Geisler
John Geisler
Login now to access Regular content available to all registered users.

You may also access this content "anytime, anywhere" with the Free MULTILEARNING App for iOS and Android
Rate & Comment (0)
Introduction: To describe the frequency of genomic alterations found in tumors from a population of African-American women with recurrent uterine sarcomas

Methods: Medical records were analyzed for all African American women with recurrent uterine sarcomas who underwent next generation sequencing of their tumors. Demographics were collected as well as all tumor genomic alterations. Data was evaluated by SPSS to see if any consistent genomic alterations were found.

Results: Twenty-four African-American women had next-generation sequencing on their recurrent uterine sarcomas with 12 having high-grade leiomyosarcomas (LMS), 11 having carcinosarcomas (MMMT), and one having an undifferentiated uterine sarcoma. The mean age of the patients was 54 years (median 52 years, 95%CI 51.2-57.7). The mean mutation burden/Mb was 6.4 mutations/Mb (median 4.5, 95%CI 1.7-11.1). Nineteen tumors had 1-5 mutations/Mb, 4 had 6-10 mutations/Mb and 1 had 10 mutations/Mb. p53 mutations occurred in the majority of tumors (LMS 66.7%, MMMT 63.6%; respectively). The gene with the second most alterations was PIK3CA (LMS 8.3%, MMMT 45.5%). BRCA2 mutations were the only other genomic alterations to occur in 10% of recurrent uterine sarcomas (LMS 16.7%, MMMT 27.3%).

Conclusion/Implications: In this population of African-American women with recurrent uterine sarcomas, the 3 genes found to most commonly harbor genomic alterations were p53, PIK3CA, and BRCA2.
    This eLearning portal is powered by:
    This eLearning portal is powered by MULTIEPORTAL
Anonymous User Privacy Preferences

Strictly Necessary Cookies (Always Active)

MULTILEARNING platforms and tools hereinafter referred as “MLG SOFTWARE” are provided to you as pure educational platforms/services requiring cookies to operate. In the case of the MLG SOFTWARE, cookies are essential for the Platform to function properly for the provision of education. If these cookies are disabled, a large subset of the functionality provided by the Platform will either be unavailable or cease to work as expected. The MLG SOFTWARE do not capture non-essential activities such as menu items and listings you click on or pages viewed.

Performance Cookies

Performance cookies are used to analyse how visitors use a website in order to provide a better user experience.

Save Settings