SYNE1 Mutation Is Associated with Increased Tumor Mutation Burden and Immune Cell Infiltration in Ovarian Cancer.

SYNE1, a nuclear envelope protein critical for cellular structure and signaling, is downregulated in numerous malignancies. SYNE1 alterations are found in 10% of gynecologic malignancies and 5% of epithelial ovarian cancers. Previous studies demonstrated an association between SYNE1 mutation, increased tumor mutation burden (TMB), and immunotherapy response. This study evaluates the SYNE1 mutation frequency, association with TMB, and downstream effects of SYNE1 mutation in ovarian cancer. Genetic information, including whole-exome sequencing, RNA analysis, and somatic tumor testing, was obtained for consenting ovarian cancer patients at an academic medical center. Mutation frequencies were compared between the institutional cohort and The Cancer Genome Atlas (TCGA). Bioinformatics analyses were performed. In our cohort of 50 patients, 16 had a SYNE1 mutation, and 15 had recurrent disease. Median TMB for SYNE1 mutated patients was 25 compared to 7 for SYNE1 wild-type patients (p < 0.0001). Compared to the TCGA cohort, our cohort had higher SYNE1 mutation rates (32% vs. 6%, p < 0.001). Gene expression related to immune cell trafficking, inflammatory response, and immune response (z > 2.0) was significantly increased in SYNE1 mutated patients. SYNE1 mutation is associated with increased TMB and immune cell infiltration in ovarian cancer and may serve as an additional biomarker for immunotherapy response.

Variables Associated With Resolution and Persistence of Ovarian Cysts.

OBJECTIVE: To estimate surveillance intervals of incident ovarian cysts, and describe variables associated with cyst resolution times. METHODS: The UK-OCST (University of Kentucky Ovarian Cancer Screening Trial) was a prospective cohort that enrolled 47,762 individuals over 30 years, including 2,638 individuals with incident cysts. Cyst diameter and structure and patient age, body mass index, use of hormone therapy (HT), family history of ovarian cancer, and menopausal status were examined as variables associated with cyst resolution using t tests, χ 2 test, Kaplan Meier, and Cox multiple regression. RESULTS: Of 2,638 individuals with incident cysts, 1,667 experienced resolution (63.2%) within 1.2 years, and 971 experienced persistence (36.8%). Within 1 year, unilocular and septated cysts had similar resolution rates (35.4% and 36.7%, respectively, P >.05), but time to resolution was shorter for unilocular cysts compared with septated cysts (mean 1.89 years vs 2.58 years, respectively, P <.001). Both unilocular and septated cysts smaller than 3 cm resolved faster than cysts larger than 6 cm ( P <.001). Variables associated with percent resolution included being of younger age, premenopausal status (but not for synchronous bilateral cysts), and those reporting a family history of ovarian cancer ( P <.05). Variables associated with a faster cyst resolution rate included being older than age 70 years and not using hormone therapy. Body mass index and family history were not associated with cyst resolution time. CONCLUSION: Different surveillance times may be appropriate depending on cyst structure and size and patient age and HT use. CLINICAL TRIAL REGISTRATION: ClinicalTrials.gov , NCT04473833.

Next Generation Sequencing and Molecular Biomarkers in Ovarian Cancer-An Opportunity for Targeted Therapy.

Ovarian cancer is the deadliest of all gynecologic malignancies claiming the lives of nearly 14,000 women in the United States annually. Despite therapeutic advances, the ovarian cancer mortality rate has remained stagnant since the 1980's. The molecular heterogeneity of ovarian cancers suggest they may be more effectively treated via precision medicine. Current guidelines recommend germline and somatic testing for all new epithelial ovarian cancer diagnoses to assist providers in identifying candidates for targeted therapies. Next generation sequencing (NGS) identifies targetable, driver, and novel mutations used to guide treatment decisions. Performing NGS is standard of care in many other malignancies, but for ovarian cancer the use of NGS in daily practice is still emerging. This review discusses the targetable genetic mutations and role of NGS and molecular biomarker testing in the treatment of ovarian cancer.