Department of Ophthalmology, The First Affiliated Hospital of Nanchang University, Nanchang, Jiangxi Province, China.
Technol Cancer Res Treat. 2021 Jan-Dec;20:1533033820984180. doi: 10.1177/1533033820984180.
The outcomes of patients with postmenopausal breast cancer(PBC) can be improved through the early detection of intraocular metastases(IOMs). In this study, we investigated patients with PBC, and compared those with IOMs with those with non-intraocular metastases(NIOMs) in terms of blood lipid levels, and then differentiated the risk factors associated with IOMs.
Student's t-test and a chi-square test were used to discriminate between the IOMs and NIOMs groups. After establishing a Poisson regression model to analyze risk factors, we plotted receiver operating characteristic curves(ROC) to assess the quality of risk factors predicting IOMs.
The incidence of IOMs in PBC was 1.16%. There was no significant difference in terms of histopathology between the 2 groups. The levels of total cholesterol (TC), apolipoprotein A1(APOA1) and low-density lipoprotein(LDL) in IOMs were significantly lower than in NIOMs groups. Poisson regression suggested that low levels of APOA1 and LDL were risk factors for IOMs (P = 0.002 and P < 0.001, respectively). ROC curve analysis demonstrated that the cut-off values of APOA1 and LDL were 1.025 g/L and 2.415 mmol/L. The highest prediction accuracy for IOMs involved the combination of APOA1 and LDL (AUC = 0.881, P < 0.001).
Our research demonstrates that low levels of APOA1 and LDL efficiently predict IOMs in PBC as risk factors, and the combination of APOA1 and LDL was more predictive than single factors.
通过早期发现眼内转移（IOM），可以改善绝经后乳腺癌（PBC）患者的预后。本研究旨在探讨 PBC 患者的临床特征，比较 IOM 与非眼内转移（NIOM）患者的血脂水平，并分析与 IOM 相关的危险因素。
采用学生 t 检验和卡方检验对 IOM 与 NIOM 组进行比较。建立泊松回归模型分析危险因素，绘制受试者工作特征曲线（ROC）评估危险因素预测 IOM 的效能。
PBC 患者 IOM 的发生率为 1.16%。两组间组织病理学无显著差异。IOM 组的总胆固醇（TC）、载脂蛋白 A1（APOA1）和低密度脂蛋白（LDL）水平明显低于 NIOM 组。泊松回归分析提示 APOA1 和 LDL 水平低是 IOM 的危险因素（P = 0.002 和 P < 0.001）。ROC 曲线分析表明 APOA1 和 LDL 的截断值分别为 1.025 g/L 和 2.415 mmol/L。APOA1 和 LDL 联合预测 IOM 的准确性最高（AUC = 0.881，P < 0.001）。
本研究表明，APOA1 和 LDL 水平低是 PBC 患者发生 IOM 的有效危险因素，且二者联合预测价值优于单一因素。
