Determinants of health-related quality of life in elderly ovarian cancer patients: The role of frailty and dependence.

OBJECTIVE: To investigate the impact of frailty and dependence on health-related quality of life (HRQOL) in elderly women diagnosed with epithelial ovarian cancer (EOC). METHODS: Data was gathered from a prospectively collected data biobank, OncoLifeS (Oncological Life Study) at the University Medical Center of Groningen. Women with a diagnosis of EOC, ≥65 years of age, with baseline assessment available from January 2016 to May 2018 were included. HRQOL was determined using the EORTC QLQ-C30 yielding scores on Global Health Status, five functional scales, three symptom scales, and six single items. The summary score was also calculated. Frailty was measured using the Groningen Frailty Indicator (GFI), and dependence using the Instrumental Activities of Daily Living (IADL). To evaluate the impact of frailty and dependence on HRQOL, linear regression was performed. Analyses were adjusted for age and tumor stage. RESULTS: 84 patients were included. Median age was 71 years (IQR: 68-75), 78% had advanced stage and 81% serous histology. Overall, the median global health status was 67 (IQR: 50-83). HRQOL scales with lowest scores were: role functioning (median: 66.7; IQR: 33-100), fatigue (median: 33.3; IQR: 22-56) and insomnia (median: 33.3; IQR: 0-67). Being frail was associated with worse functioning on all HRQOL scales and higher symptom scores (p = .001). Conversely, being independent was associated with better functioning on all HRQOL scales and lower symptom scores. These associations remained significant after adjusting for age and tumor stage. CONCLUSION: In women ≥65 years, diagnosed with EOC, frailty and dependence are associated to reduced HRQOL. These associations remain significant adjusting for age and stage.

Predictability of BRCA1/2 mutation status in patients with ovarian cancer: How to select women for genetic testing in middle-income countries.

OBJECTIVES: To evaluate the accuracy of algorithms for predicting BRCA1/2 germ-line mutation carrier probability, and to identify factors that could improve their performance among Brazilian women with ovarian cancer (OC). STUDY DESIGN: In this cross-sectional study, we enrolled patients (unselected for family history of cancer) undergoing treatment or follow-up for OC in a single centre in Brazil. Clinical and demographic data, including family history of cancer, were obtained. Blood samples were collected for genetic testing. MAIN OUTCOME MEASURES: The entire coding sequence of BRCA1 and BRCA2 was evaluated for mutations. Mutation carrier probability was calculated using BOADICEA, BRCAPRO, Myriad and the Manchester score. Sensitivity, specificity, positive and negative predictive values, and area under the receiver operating characteristic curves (AUC) were calculated for each algorithm. Logistic regression was used to detect additional factors associated with BRCA1/2 status, and these were added to the algorithms before recalculating the AUCs. RESULTS: BRCA1/2 mutations were identified in 19 of the 100 included patients. BOADICEA outperformed other algorithms (sensitivity, 73.7%; specificity, 87.7%; AUC, 0.87, with a threshold of a 10% risk of mutation). Later menarche was associated with the presence of a BRCA1/2 mutation. Although adding age at menarche resulted in a larger AUC for all models, this increase was significant only for the Myriad algorithm. CONCLUSION: A BOADICEA risk evaluation of 10% or more most accurately predicted BRCA1/2 status, and the inclusion of age at menarche tended to improve the performance of all algorithms. Using these tools could reduce the number of tests, but at the expense of missing a significant proportion of mutation carriers.