Kaindal Sonia, Venkataramana B
Department of Mathematics, School of Advanced Sciences, Vellore Institute of Technology, Vellore, India.
Discov Oncol. 2025 Jul 7;16(1):1273. doi: 10.1007/s12672-025-03029-6.
Invasive lobular carcinoma (ILC) ranks as the second most prevalent type of breast cancer after invasive ductal carcinoma (IDC). Understanding the demographics, clinical, and treatment outcomes of patients with ILC is essential for developing personalized treatment strategies. The purpose of this study is to evaluate the risk factors, treatment efficacy, demographics, and effects of marital status on treatment approaches for patients with lobular carcinoma. The data retrieved from the SEER program included 2,085 patients with lobular carcinoma. Descriptive statistics describe their clinical and demographical characteristics, while inferential statistics, including the Pearson chi-square test and Cox regression models, assess treatment outcomes based on age and clinicopathological factors. Among the cohort, 7.9% of patients were aged 30-44, 40.1% were aged 45-59, and 52% were aged 60-74. The analysis indicated that patients aged 45-59 predominantly received radiation therapy, while those aged 60-74 primarily underwent chemotherapy. Compared to older individuals, younger patients demonstrated a more favorable response to chemotherapy (HR = 0.653, 95% CI: 0.261-1.633) and radiation therapy (HR = 0.625, 95% CI: 0.249-1.565). Age at diagnosis was an independent factor in breast cancer of lobular carcinoma. The Cox regression models revealed significant disparities in treatment effects across different age groups and clinicopathological characteristics. The chi-square analysis showed no significant associations for most variables, indicating that unmeasured factors influence chemotherapy and radiation therapy. A frailty model better captures risk factors, improving treatment decision-making and patient outcome analysis. This study emphasizes the need to evaluate demographic and clinical factors in treatment planning for lobular carcinoma patients. The findings suggest that personalized treatment strategies should be developed to address the varying responses to treatment among different patient cohorts.
浸润性小叶癌（ILC）是继浸润性导管癌（IDC）之后第二常见的乳腺癌类型。了解ILC患者的人口统计学特征、临床情况和治疗结果对于制定个性化治疗策略至关重要。本研究的目的是评估小叶癌患者的危险因素、治疗效果、人口统计学特征以及婚姻状况对治疗方法的影响。从监测、流行病学与最终结果（SEER）项目中检索到的数据包括2085例小叶癌患者。描述性统计描述了他们的临床和人口统计学特征，而包括Pearson卡方检验和Cox回归模型在内的推断性统计则根据年龄和临床病理因素评估治疗结果。在该队列中，7.9%的患者年龄在30 - 44岁之间，40.1%的患者年龄在45 - 59岁之间，52%的患者年龄在60 - 74岁之间。分析表明，年龄在45 - 59岁的患者主要接受放射治疗，而年龄在60 - 74岁的患者主要接受化疗。与老年患者相比，年轻患者对化疗（风险比[HR]=0.653，95%置信区间[CI]：0.261 - 1.633）和放射治疗（HR = 0.625，95% CI：0.249 - 1.565）的反应更良好。诊断时的年龄是小叶癌乳腺癌的一个独立因素。Cox回归模型显示不同年龄组和临床病理特征的治疗效果存在显著差异。卡方分析表明大多数变量之间无显著关联，这表明存在未测量的因素影响化疗和放射治疗。脆弱模型能更好地捕捉危险因素，改善治疗决策和患者预后分析。本研究强调在小叶癌患者的治疗规划中需要评估人口统计学和临床因素。研究结果表明应制定个性化治疗策略以应对不同患者群体对治疗的不同反应。
