Gender disparities in health outcomes have garnered significant attention, prompting investigations into their underlying causes. Glioblastoma (GBM), a devastating and highly aggressive form of brain tumor, serves as a case for such inquiries. Despite the mounting evidence on gender disparities in GBM outcomes, investigations specific at the molecular level remain scarce and often limited by confounding biases in observational studies. In this study, I aimed to investigate the gender-related differences in GBM outcomes using propensity score matching (PSM) to control for potential confounding variables. The data used was accessed from the Cancer Genome Atlas (TCGA), encompassing factors such as gender, age, molecular characteristics and different glioma grades. Propensity scores were calculated for each patient using logistic regression, representing the likelihood of being male based on the baseline characteristics. Subsequently, patients were matched using the nearest-neighbor (with a restricted caliper) matching to create a balanced male-female group. After PSM, 303 male-female pairs were identified, with similar baseline characteristics in terms of age and molecular features. The analysis revealed a higher incidence of GBM in males compared to females, after adjusting for potential confounding factors. This study contributes to the discourse on gender equity in health, paving the way for targeted interventions and improved outcomes, and may guide efforts to improve gender-specific treatment strategies for GBM patients. However, further investigations and prospective studies are warranted to validate these findings and explore additional factors that might contribute to the observed gender-based differences in GBM outcomes aside from the molecular characteristics.

翻译：健康结局中的性别差异已引起广泛关注，促使研究者探究其潜在原因。胶质母细胞瘤作为一种破坏性极强的高侵袭性脑肿瘤，成为此类研究的典型案例。尽管关于胶质母细胞瘤结局中性别差异的证据日益增多，但针对分子水平的特异性研究仍然匮乏，且常受观察性研究中混杂偏倚的限制。本研究旨在利用倾向性评分匹配控制潜在混杂变量，探究胶质母细胞瘤结局中的性别差异。所用数据来自癌症基因组图谱，涵盖性别、年龄、分子特征及不同胶质瘤分级等因素。通过逻辑回归计算每位患者的倾向性评分，以基线特征为基础代表其为男性的概率。随后，采用最近邻匹配（限制卡钳值）对患者进行配对，形成性别均衡的男性-女性组。经倾向性评分匹配后，共识别出303对男-女配对，其年龄和分子特征等基线特征相似。分析显示，在调整潜在混杂因素后，男性胶质母细胞瘤发病率高于女性。本研究为健康领域的性别公平讨论贡献了数据，为针对性干预和改善结局铺平了道路，并可能指导针对胶质母细胞瘤患者制定性别特异性治疗策略的改进工作。然而，仍需进一步研究和前瞻性试验来验证这些发现，并探索除分子特征外可能导致胶质母细胞瘤结局中观察到的性别差异的其他因素。