Importance Risk-reducing salpingo-oophorectomy (RRSO) is an effective option to prevent ovarian cancer in high-risk individuals, but adverse effects from premature menopause are a barrier to uptake. Interval salpingectomy with delayed oophorectomy (ISDO) may be an effective alternative. Objective To evaluate the association of ISDO vs RRSO and sexual function and menopausal symptoms. Design, Setting, and Participants This prospective, multicenter, nonrandomized (patient preference) clinical trial was performed among Women Choosing Surgical Prevention participants with a pathogenic or likely pathogenic germline variant conferring an increased risk for ovarian cancer. Patients from 9 US centers were enrolled from June 2, 2016, to October 28, 2020; chose ISDO or RRSO; and were followed up for 24 months. The analysis was performed on November 13, 2024. Interventions Participant-selected RRSO or ISDO. Main Outcomes and Measures Changes in sexual function and menopausal symptoms from baseline to 6, 12, and 24 months. Inverse probability weighting was applied to achieve covariate balance across groups. Results The analytic sample included 334 female participants (mean [95% CI] age at consent, 39.2 [38.7-.9.7] years) who underwent RRSO (n = 165) or ISDO (n = 169) and completed 6-month questionnaires. Significantly more participants experienced clinically meaningful worsening of sexual function at 6 months compared with baseline after RRSO vs ISDO (33.1% [39 of 118] vs 16.8% [17 of 101], respectively; odds ratio, 2.00 [95% CI, 1.20-3.35]) and at 12 months (39.2% [38 of 97] vs 18.3% [17 of 93], respectively; odds ratio, 1.69 [95% CI, 1.09-2.63]). This finding was no longer significant at 24 months. When restricted to the RRSO group who took hormone replacement therapy, there was no significant worsening of total sexual function scores or menopausal symptoms compared with baseline. No interval ovarian cancers were reported. Conclusions and Relevance This nonrandomized clinical trial comparing RRSO with ISDO found that ISDO was less likely to impair sexual function, which addresses an important barrier to surgical prevention in high-risk patients in premenopause. After RRSO, use of hormone replacement therapy mitigated menopausal symptoms and prevented decline in sexual function. More information is needed about the safety of ISDO. Trial Registration ClinicalTrials.gov Identifier: NCT02760849
Online Menopause Information–Seeking Search Patterns and Commercial Content Over 2 Decades
Treatment-induced ovarian function loss is a significant concern for many young patients with breast cancer. Accurately predicting this risk is crucial for counselling young patients and informing their fertility-related decision-making. However, current risk prediction models for treatment-related ovarian function loss have limitations. To provide a broader representation of patient cohorts and improve feature selection, we combined retrospective data from six datasets within the FoRECAsT (Infertility after Cancer Predictor) databank, including 2679 pre-menopausal women diagnosed with breast cancer. This combined dataset presented notable missingness, prompting us to employ cross imputation using the k-nearest neighbours (KNN) machine learning (ML) algorithm. Employing Lasso regression, we developed an ML model to forecast the risk of treatment-related amenorrhea as a surrogate marker of ovarian function loss at 12 months after starting chemotherapy. Our model identified 20 variables significantly associated with risk of developing amenorrhea. Internal validation resulted in an area under the receiver operating characteristic curve (AUC) of 0.820 (95% CI: 0.817–0.823), while external validation with another dataset demonstrated an AUC of 0.743 (95% CI: 0.666–0.818). A cutoff of 0.20 was chosen to achieve higher sensitivity in validation, as false negatives—patients incorrectly classified as likely to regain menses—could miss timely opportunities for fertility preservation if desired. At this threshold, internal validation yielded sensitivity and precision rates of 91.3% and 61.7%, respectively, while external validation showed 92.9% and 60.0%. Leveraging ML methodologies, we not only devised a model for personalised risk prediction of amenorrhea, demonstrating substantial enhancements over existing models but also showcased a robust framework for maximally harnessing available data sources.
Potential impact of hormone replacement therapy on the risk of hepatocellular carcinoma in women of the PLCO cohort
Abstract Objectives Studies on the impact of hormone replacement therapy (HRT) on hepatocellular carcinoma (HCC) have been investigated in the past. This study aims to further address this topic using a large population dataset of the Prostate, Lung, Colorectal and Ovarian (PLCO) Cancer Screening Trial (NIH, USA). Methods Multivariable logistic regression was used for the analysis of women in the entire PLCO cohort. Results A non-significant reduction in the risk of developing HCC was observed in women using HRT compared to never users (OR=0.61, 95 % CI: 0.21–1.79, p=0.367). Oral contraceptive use was significantly associated with reduced risk of HCC in the HRT group, (OR=0.17, 95 % CI: 0.00–0.82, p=0.028), and there was a nearly-significant interaction between HRT use and oral contraceptive use (p=0.054). Regardless of HRT use, those with pre-existing liver comorbidities of hepatitis or cirrhosis were at the highest risk of developing HCC (OR=5.09, 95 % CI: 1.13–22.81, p=0.034). However, liver comorbidities of hepatitis or cirrhosis and exposure to HRT showed a significant interaction (p=0.0001). Conclusions In those taking HRT, oral contraceptive use was significantly protective against HCC, suggesting that a longer period of hormone use (oral contraceptive plus HRT) provides additional protection against HCC than HRT alone. Overall, the low numbers of HCC diagnoses, which reflect the wider healthy female population, limited our ability to establish statistical significance regarding the impact of HRT on HCC incidence, which requires further prospective studies of larger populations.