Individualized Prediction of Menses Recovery After Chemotherapy for Early-stage Breast Cancer: A Nomogram Developed From UNICANCER PACS04 and PACS05 Trials

Cancer Therapy, Gonadal Function, and Fertility Preservation: Narrative Review

PURPOSE

Fertility preservation was designed to help young patients overcome complications of cancer treatments, but its effectiveness is unknown. We sought to investigate how often patients with cancer are offered fertility preservation and if patients offered fertility preservation are more likely to have offspring.

METHODS

We searched Embase (through 2022) and PubMed (through 2022). Our broad computerized search strategy was built upon using the keywords "chemotherapy," "radiation," and "fertility." The search took place on December 1, 2022. We included randomized and observational studies and excluded reviews and case reports/series.

RESULTS

Eighty-five articles that answered at least one of the research questions were included. Studies assessing fertoprotective therapies often rely on surrogate markers for fertility. Multiple factors affect these markers of fertility. The median premature ovarian failure rate among the intervention group was 18% (IQR, 12%-20%), and among the control group, it was 25% (IQR, 19%-33%). Five of 11 studies reported a significant benefit from fertoprotective therapy. Pregnancies occurred in a median of 21% (IQR, 6%-52%) of patients in the intervention group and 11% (IQR, 7-44) of patients in the control group, with three of seven studies reporting a higher percentage of pregnancies among the intervention group.

CONCLUSION

We reviewed the literature on several questions surrounding fertility preservation and found that there is limited and low-quality research on these therapies in cancer. Hence, there is a strong need for studies, especially randomized studies, that follow patients with cancer who undergo fertility preservation and assess outcomes in which patients are most interested.

Chemotherapy-Related Amenorrhea and Quality of Life Among Premenopausal Women With Breast Cancer

Importance

Younger survivors of breast cancer frequently report more treatment-related symptoms, mostly related to the menopausal transition.

Objective

To assess factors associated with chemotherapy-related amenorrhea (CRA) and to evaluate its association with long-term quality of life (QOL).

Design, Setting, and Participants

The prospective, longitudinal Cancer Toxicities Study, a multicenter French cohort study, includes women with a diagnosis of stage I to III breast cancer and collects data approximately yearly after diagnosis. The current study reports outcomes up to 4 years after diagnosis for participants enrolled from 2012 to 2017. Participants included premenopausal women younger than 50 years treated with chemotherapy and not receiving adjuvant ovarian function suppression. Data analysis was performed from September 2021 to June 2023.

Exposures

Clinical, socioeconomic, tumor, and treatment characteristics assessed at diagnosis (for the analysis of factors associated with CRA) and persistent CRA (for the QOL analysis).

Main Outcomes and Measures

The main outcome of interest was CRA at year 1 (Y1), year 2 (Y2), and year 4 (Y4) after diagnosis. Generalized estimating equations assessed associations of exposure variables with CRA. In the QOL analysis, QOL at Y4 (assessed with the European Organization for Research and Treatment of Cancer Quality of Life Questionnaires C30 and BR23) was the outcome of interest. Multivariable random-effect mixed models assessed the association of persistent CRA (ie, never recovering menses after treatment) with QOL.

Results

Among 1636 women, the mean (SD) age at diagnosis was 42.2 (5.6) years. Overall, 1242 of 1497 women (83.0%) reported CRA at Y1, 959 of 1323 women (72.5%) reported it at Y2, and 599 of 906 women (66.1%) reported it at Y4. Older age vs 18 to 34 years (adjusted odds ratio [OR] for 35 to 39 years, 1.84 [95% CI, 1.32 to 2.56]; adjusted OR for 40 to 44 years, 5.90 [95% CI, 4.23 to 8.24]; and adjusted OR for ≥45 years, 21.29 [95% CI, 14.34 to 31.61]) and receipt of adjuvant tamoxifen (adjusted OR, 1.97 [95% CI, 1.53 to 2.53]) were associated with higher likelihood of CRA. In the QOL analysis, 416 of 729 women (57.1%) had persistent CRA. However, late menses recovery among women aged 18 to 34 years with no menses at Y2 were reported by 11 of 21 women (52.4%) between Y2 and Y4. Persistent CRA was associated with worse insomnia (mean difference vs recovery at any time, 9.9 points [95% CI, 3.2 to 16.5 points]; P = .004), systemic therapy-related adverse effects (mean difference, 3.0 points [95% CI, 0.2 to 5.8 points]; P = .04), and sexual functioning (mean difference, -9.2 points [95% CI, -14.3 to -4.1 points]; P < .001) at Y4.

Conclusions and Relevance

In this cohort study of premenopausal women with breast cancer, persistent CRA was common, although some women recovered menses late, and was associated with worse long-term QOL. This study can help inform risk communication, personalized counseling, and early supportive care referrals for such patients.

Development of a fertility risk calculator to predict individualized chance of ovarian failure after chemotherapy

PURPOSE

To develop an innovative machine learning (ML) model that predicts personalized risk of primary ovarian insufficiency (POI) after chemotherapy for reproductive-aged women. Currently, individualized prediction of a patient's risk of POI is challenging.

METHODS

Authors of published studies examining POI after gonadotoxic therapy were contacted, and six authors shared their de-identified data (N = 435). A composite outcome for POI was determined for each patient and validated by 3 authors. The primary dataset was partitioned into training and test sets; random forest binary classifiers were trained, and mean prediction scores were computed. Institutional data collected from a cross-sectional survey of cancer survivors (N = 117) was used as another independent validation set.

RESULTS

Our model predicted individualized risk of POI with an accuracy of 88% (area under the ROC 0.87, 95% CI: 0.77-0.96; p < 0.001). Mean prediction scores for patients who developed POI and who did not were 0.60 and 0.38 (t-test p < 0.001), respectively. Highly weighted variables included age, chemotherapy dose, prior treatment, smoking, and baseline diminished ovarian reserve.

CONCLUSION

We developed an ML-based model to estimate personalized risk of POI after chemotherapy. Our web-based calculator will be a user-friendly decision aid for individualizing risk prediction in oncofertility consultations.

Exploring the facilitators and barriers to using an online infertility risk prediction tool (FoRECAsT) for young women with breast cancer: a qualitative study protocol

INTRODUCTION

As cancer treatments may impact on fertility, a high priority for young patients with breast cancer is access to evidence-based, personalised information for them and their healthcare providers to guide treatment and fertility-related decisions prior to cancer treatment. Current tools to predict fertility outcomes after breast cancer treatments are imprecise and do not offer individualised prediction. To address the gap, we are developing a novel personalised infertility risk prediction tool (FoRECAsT) for premenopausal patients with breast cancer that considers current reproductive status, planned chemotherapy and adjuvant endocrine therapy to determine likely post-treatment infertility. The aim of this study is to explore the feasibility of implementing this FoRECAsT tool into clinical practice by exploring the barriers and facilitators of its use among patients and healthcare providers.

METHODS AND ANALYSIS

A cross-sectional exploratory study is being conducted using semistructured in-depth telephone interviews with 15-20 participants each from the following groups: (1) premenopausal patients with breast cancer younger than 40, diagnosed within last 5 years, (2) breast surgeons, (3) breast medical oncologists, (4) breast care nurses (5) fertility specialists and (6) fertility preservation nurses. Patients with breast cancer are being recruited from the joint Breast Service of three affiliated institutions of Victorian Comprehensive Cancer Centre in Melbourne, Australia-Peter MacCallum Cancer Centre, Royal Melbourne Hospital and Royal Women's Hospital, and clinicians are being recruited from across Australia. Interviews are being audio recorded, transcribed verbatim and imported into qualitative data analysis software to facilitate data management and analyses.

ETHICS AND DISSEMINATION

The study protocol has been approved by Melbourne Health Human Research Ethics Committee, Australia (HREC number: 2017.163). Confidentiality and privacy are maintained at every stage of the study. Findings will be disseminated through peer-reviewed scholarly and scientific journals, national and international conference presentations, social media, broadcast media, print media, internet and various community/stakeholder engagement activities.