Rodrigues Ilda, Fernandes Rute, Ferreira Ana, Pereira Deolinda, Fernandes Rúben, Soares Raquel, Luís Carla
Biochemistry Unit, Department of Biomedicine, Faculty of Medicine, University of Porto (FMUP), Porto, Portugal; i3S ‑ Instituto de Inovação e Investigação em Saúde, University of Porto, Porto, Portugal.
Portuguese Oncology Institute of Porto (IPO-Porto), Porto, Portugal.
Clin Breast Cancer. 2025 Jun;25(4):e331-e340. doi: 10.1016/j.clbc.2024.11.018. Epub 2024 Nov 27.
The aim of this study is to analyse PR independently and its relationship with demographic and clinicopathological information.
Steroid hormones, particularly estrogen and progesterone, play a crucial role in breast cancer (BC) etiology. Research attention has focused mainly on estrogen while the progesterone impact on breast cancer has yet to be fully uncover. Hormone receptors, including those for estrogen and progesterone, are crucial in BC molecular classification, shaping prognosis and treatment strategies. Beyond its metabolic effects, progesterone and its receptor (PR) have significant clinical implications, impacting clinical outcomes.
The study comprised 2223 women who were diagnosed with BC at the Comprehensive Cancer Centre in Portugal (IPO-Porto) between 2012 and 2016. Variables, including age at diagnosis, body mass index (BMI), laterality, topographic localization, histological type, differentiation grade, tumor stage, estrogen receptor (ER) and Human Epidermal growth factor Receptor 2 (HER2) expression, were stratified according to the expression of Progesterone Receptor. Statistical analysis included Pearson's Chi-squared test, binary and multinomial regression, and Cox proportional hazard model. Statistical significance was set for P < .05.
The results reveal a statistical association between PR and BMI, histological type, differentiation grade, tumour stage, ER and HER2. Progesterone receptor negativity is associated with adverse clinical outcomes, including advanced tumor stages, and diminished overall survival.
Further research is needed to elucidate the precise contributions of progesterone to breast cancer progression and to optimize therapeutic approaches for improved patient outcomes.
本研究旨在独立分析孕激素受体(PR)及其与人口统计学和临床病理信息的关系。
类固醇激素,尤其是雌激素和孕激素,在乳腺癌(BC)病因学中起着关键作用。研究注意力主要集中在雌激素上,而孕激素对乳腺癌的影响尚未完全揭示。激素受体,包括雌激素和孕激素受体,在乳腺癌分子分类、塑造预后和治疗策略方面至关重要。除了其代谢作用外,孕激素及其受体(PR)具有重要的临床意义,影响临床结果。
本研究纳入了2012年至2016年间在葡萄牙综合癌症中心(波尔图肿瘤研究所)被诊断为乳腺癌的2223名女性。根据孕激素受体的表达情况,对包括诊断时年龄、体重指数(BMI)、患侧、肿瘤部位、组织学类型、分化程度、肿瘤分期、雌激素受体(ER)和人表皮生长因子受体2(HER2)表达等变量进行分层。统计分析包括Pearson卡方检验、二元和多项回归以及Cox比例风险模型。设定P < 0.05为具有统计学意义。
结果显示PR与BMI、组织学类型、分化程度、肿瘤分期、ER和HER2之间存在统计学关联。孕激素受体阴性与不良临床结果相关,包括肿瘤晚期和总生存期缩短。
需要进一步研究以阐明孕激素对乳腺癌进展的确切作用,并优化治疗方法以改善患者预后。