Prospective validation of an intraoperative algorithm to guide surgical staging in early endometrial cancer.

OBJECTIVES: Prospectively validate an intraoperative surgical staging algorithm to stratify patients with early endometrial cancer by risk of lymph node metastasis. METHODS: Subjects with endometrial cancer clinically confined to the uterus were prospectively enrolled at an academic cancer center between Jan 2012 and Jun 2015. Study participants were stratified intraoperatively into two groups based on risk of nodal involvement using cell type, tumor grade, myometrial invasion, and tumor size in accordance with an established protocol from the Mayo Clinic. Low risk (LR) subjects received extrafascial hysterectomy with bilateral salpingo-oophorectomy; high risk (HR) patients received complete surgical staging including bilateral pelvic and para-aortic lymphadenectomy. RESULTS: Of the 200 subjects enrolled, 194 were eligible for analysis. The algorithm identified 132 (68%) HR and 62 (32%) LR cancers. Of the HR subjects, 126 had lymphadenectomy performed with 14 (11%) positive for nodal metastases. Five HR subjects experienced disease recurrence. Of the 62 LR cancers, two patients developed disease recurrence. Ten LR cancers were upgraded to HR on final pathology due to lesion size (6) and grade (4). None of these patients experienced disease recurrence. The algorithm demonstrated 90% sensitivity (18/20) and 36% specificity (62/174) as determined by positive lymph nodes and/or disease recurrence. CONCLUSIONS: Intraoperative assessment of early endometrial cancer can be used to determine the extent of surgical staging. The studied algorithm has low specificity and modifications are necessary to better match the surgical procedure to the risk of metastatic cancer.

Serial ultrasonographic evaluation of ovarian abnormalities with a morphology index.

OBJECTIVE: Transvaginal ultrasonography with tumor morphology index (MI) has been used to predict the risk of ovarian malignancy. Our objective was to analyze changes in serial MI scores for malignant and non-malignant ovarian tumors in a large and asymptomatic population. METHODS: Eligible subjects participated in the University of Kentucky Ovarian Cancer Screening Program and had abnormalities that included cysts, cysts with septations, complex cysts with solid areas, and solid masses. Analysis included: MI, change in MI (delta MI), delta MI per scan and per month, number and duration of scans. RESULTS: From 1987 to 2012, 38,983 women received 218,445 scans. Of the 7104 eligible subjects, 6758 tumors were observed without surgery and 472 were surgically removed. Eighty-six percent (5811) of observed tumors were resolved. There were 74 malignant and 272 non-malignant tumors. Eighty-five percent of malignancies had MI ≥5 at decision for surgery. The risk of malignancy based on MI was: MI=5 (3%), MI=6 (3.7%), MI=7 (12.6%), MI=8 (26.7%), MI=9 (27.8%), MI=10 (33.3%). The mean delta MI per month decreased for tumors that resolved (delta MI -1.0, p<0.001) or persisted without surgery (delta MI -0.7, p<0.001). For abnormalities surgically removed, the mean delta MI per month increased significantly more for malignancies than for benign tumors (delta MI +1.6 vs. +0.3, p<0.001). CONCLUSIONS: The mean MI for malignant ovarian tumors increases over time, while non-malignant tumors have a decreasing or stable MI. Serial MI analysis can improve the prediction of ovarian malignancy by reducing false-positive results, thereby decreasing the number of operations performed for benign abnormalities.

Differential Expression of KRAS and SIRT1 in Ovarian Cancers with and Without Endometriosis.

Accumulating research shows that ovarian cancer progression can be influenced by both gene mutations and endometriosis. However, the exact mechanism at hand is poorly understood. In the current study, we explored the expression of KRAS and SIRT1, two genes previously identified as altered in endometriosis and ovarian cancer. Human endometrial samples were obtained from regularly cycling women with endometriosis, ovarian cancer, and endometriosis-associated ovarian cancer between 18 and 50 of age undergoing hysterectomy, and immunohistochemical analyses were performed. The cytoplasmic expression of KRAS was low in eutopic endometrium from women without endometriosis or ovarian cancer; however, it was elevated in those who have been diagnosed with endometriosis, as well as ovarian cancer with or without the presence of endometriosis. Nuclear and cytoplasmic SIRT1 expression was also low within endometrium without either disease. However, nuclear SIRT1 expression was increased in those with endometriosis and ovarian cancer associated with endometriosis. Nuclear but not the cytoplasmic expression of SIRT1 correlated with KRAS expression in ovarian cancers associated with endometriosis. These results suggest roles of KRAS and SIRT1 in endometriosis and endometriosis-associated ovarian cancer. Cytoplasmic KRAS expression proves to be a key biomarker in both diseases, while nuclear SIRT1 may be a new biomarker specific to those with endometriosis and those with both endometriosis and ovarian cancer. Further research of these genes could aid in determining the pathogenesis of both diseases and help in clarifying the development of endometriosis-associated ovarian cancer.