Atypical evolution of meningiomatosis after discontinuation of cyproterone acetate: clinical cases and histomolecular characterization

Development and Validation of a Machine Learning Radiomics Model based on Multiparametric MRI for Predicting Progesterone Receptor Expression in Meningioma: A Multicenter Study

RATIONALE AND OBJECTIVES

This study aimed to develop and validate a machine learning-based prediction model for preoperatively predicting progesterone receptor (PR) expression in meningioma patients using multiparametric magnetic resonance imaging (MRI).

MATERIALS AND METHODS

The study retrospectively enrolled 739 patients with pathologically confirmed meningioma from three medical centers, dividing them into four cohorts: training (n = 294), internal test (n = 126), external test 1 (n = 217), and external test 2 (n = 102). Radiomics characteristics were derived from T2-weighted and contrast-enhanced T1-weighted MRI images, followed by feature selection. A machine learning-based combined model was developed by incorporating radiomics scores (rad-scores) from the optimal radiomics model along with clinical predictors. The Shapley additive explanation (SHAP) method was employed to visually represent the process of making predictions. The prognostic value of the model was evaluated using Kaplan-Meier analysis.

RESULTS

Among the 739 patients, 299 (40.5%) had negative PR expression confirmed by pathology. Twelve radiomics features derived from multiparametric MRI were selected to build the radiomics model. Tumor location and enhancement pattern were identified as key clinical predictors and were combined with rad-scores to create a combined model utilizing the extreme gradient boosting (XGBoost) algorithm. The combined model demonstrated strong accuracy and robustness, with area under the curve values of 0.907, 0.827, 0.846, and 0.807 across training, internal test, external test 1, and external test 2 cohorts, respectively. The recurrence-free survival analysis indicated that the combined model was able to effectively categorize patients based on recurrence outcomes.

CONCLUSION

The XGBoost combined model, utilizing multiparametric MRI, shows promise for predicting PR expression in meningioma patients.

Prolonged use of nomegestrol acetate and risk of intracranial meningioma: a population-based cohort study

Background

Nomegestrol acetate (NOMAC) is a synthetic potent progestogen. This study aimed to assess the risk of intracranial meningioma associated with the prolonged use of NOMAC.

Methods

Observational cohort study using SNDS data (France). Women included had ≥ one dispensing of NOMAC between 2007 and 2017 (no dispensing in 2006). Exposure was defined as a cumulative dose >150 mg NOMAC within six months after first dispensing. A control group of women (cumulative dose ≤150 mg) was assembled. The outcome was surgery (resection or decompression) or radiotherapy for one or more intracranial meningioma(s). Poisson models assessed the relative risk (RR) of meningioma.

Findings

In total, 1,060,779 women were included in the cohort (535,115 in the exposed group and 525,664 in the control group). The incidence of meningioma in the two groups was 19.3 and 7.0 per 100,000 person-years, respectively (age-adjusted RRa = 2.9 [2.4-3.7]). The RRa for a cumulative dose of more than 6 g NOMAC was 12.0 [9.9-16.0]. In the event of treatment discontinuation for at least one year, the risk of meningioma was identical to that in the control group (RRa = 1.0 [0.8-1.3]). The location of meningiomas in the anterior and middle part of the skull base was more frequent with exposure to NOMAC.

Interpretation

We observed a strong dose-dependent association between prolonged use of NOMAC and the risk of intracranial meningiomas. These results are comparable to those obtained for cyproterone acetate, although the magnitude of the risk is lower. It is now recommended to stop using NOMAC if a meningioma is diagnosed.

Funding

The French National Health Insurance Fund (Cnam) and the French National Agency for Medicines and Health Products Safety (ANSM) via the Health Product Epidemiology Scientific Interest Group EPI-PHARE.

Hormone therapies in meningioma-where are we?

INTRODUCTION

Meningiomas are associated with several gonadal steroid hormone-related risk factors and demonstrate a predominance in females. These associations led to investigations of the role that hormones may have on meningioma growth and development. While it is now accepted that most meningiomas express progesterone and somatostatin receptors, the conclusion for other receptors has been less definitive.

METHODS

We performed a review of what is known regarding the relationship between hormones and meningiomas in the published literature. Furthermore, we reviewed clinical trials related to hormonal agents in meningiomas using MEDLINE PubMed, Scopus, and the NIH clinical trials database.

RESULTS

We identify that all steroid-hormone trials lacked receptor identification or positive receptor status in the majority of patients. In contrast, four out of five studies involving somatostatin analogs used positive receptor status as part of the inclusion criteria.

CONCLUSIONS

Several clinical trials have recently been completed or are now underway using somatostatin analogs in combination with other therapies that appear promising, but a reevaluation of hormone-based monotherapy is warranted. Synthesizing this evidence, we clarify the remaining questions and present future directions for the study of the biological role and therapeutic potential of hormones in meningioma and discuss how the stratification of patients using features such as grade, receptor status, and somatic mutations, might be used for future trials to select patients most likely to benefit from specific therapies.

Risk of intracranial meningioma with three potent progestogens: a population-based case-control study

Background and purpose

A dose‐dependent association between the use of cyproterone acetate (CPA) and intracranial meningioma has been identified but data for other potent progestogens are scarce. The association was assessed between intracranial meningioma surgery and exposure to three potent progestogens: CPA (≥25 mg/day), nomegestrol acetate (NOMAC) (3.75–5 mg/day) and chlormadinone acetate (CMA) (2–10 mg/day).

Methods

In this nationwide population‐based case–control study, cases underwent surgery for intracranial meningioma in France from 2009 to 2018. They were matched to five control subjects for sex, year of birth and area of residence. Progestogen exposure was defined as progestogen use within the year before surgery for cases or the same date for their controls.

Results

In total, 25,216 cases were included (75% women, median age 58 years). Progestogen exposure was noted for 9.9% of cases (2497/25,216) and 1.9% (2382/126,080) of controls, with an odds ratio (OR) of 6.7 (95% confidence interval [CI] 6.3–7.1). The OR was 1.2 (1.0–1.4) for short‐term use (<1 year) and 9.5 (8.8–10.2) for prolonged use. A strong association was identified for prolonged use of CPA (OR = 22.7, 95% CI 19.5–26.4), NOMAC (OR = 6.5, 95% CI 5.8–7.2) and CMA (OR = 4.7, 95% CI 4.5–5.3). Progestogen exposure increased the risk of meningioma for all histological grades and anatomical sites, particularly for the anterior and middle skull base: OR = 35.7 (95% CI 26.5–48.2) and 23.9 (95% CI 17.8–32.2) for CPA. The estimated number of attributable cases was 2124 (95% CI 2028–2220) (212/year).

Conclusion

A strong association between prolonged exposure to potent progestogens and surgery for meningioma was observed. The risk increased from CMA to NOMAC to CPA. Individuals should be informed of this risk.

This study highlights a strong association between prolonged use of nomegestrol and chlormadinone acetate (two potent progestogens) and intracranial meningioma, although weaker than that of cyproterone acetate. The estimated number of cases was higher than 2000 in France over 10 years.