Abstract：
Radiotherapy (RT) is part of the standard treatment of breast cancer (BC) because of its effects on relapse reduction and survival. However, response to treatment is highly variable, and some patients may develop disease progression (DP), a second primary cancer, or may succumb to the disease. Antioxidant systems and inflammatory processes are associated with the onset and development of BC and play a role in resistance to treatment. Here, we report our investigation into the clinical evolution of BC patients, and the impact of RT on the circulating levels of the antioxidant enzyme paraoxonase-1 (PON1), cytokines, and other standard biochemical and hematological variables. Gradient Boosting Machine (GBM) algorithm was used to identify predictive variables. This was a retrospective study in 237 patients with BC. Blood samples were obtained pre- and post-RT, with samples of healthy women used as control subjects. Results showed that 24 patients had DP eight years post-RT, and eight patients developed a second primary tumor. The algorithm identified interleukin-4 and total lymphocyte counts as the most relevant indices discriminating between BC patients and control subjects, while neutrophils, total leukocytes, eosinophils, very low-density lipoprotein cholesterol, and PON1 activity were potential predictors of fatal outcome.
摘要：
放射治疗（RT）是乳腺癌（BC）标准治疗的一部分，因为它对减少复发和生存有影响。然而,对治疗的反应是高度可变的，一些患者可能会出现疾病进展（DP），第二原发癌，或者可能会死于这种疾病。抗氧化系统和炎症过程与BC的发生和发展有关，并在抵抗治疗中起作用。这里,我们报告了我们对BC患者临床演变的调查，以及RT对抗氧化酶对氧磷酶-1（PON1）循环水平的影响，细胞因子,和其他标准生化和血液学变量。梯度提升机(GBM)算法用于识别预测变量。这是237例BC患者的回顾性研究。在RT之前和之后获得血液样本，用健康女性的样本作为对照受试者。结果显示24例患者在RT后8年有DP，8名患者出现了第二个原发性肿瘤。该算法将白细胞介素-4和总淋巴细胞计数确定为区分BC患者和对照受试者的最相关指标，而中性粒细胞，总白细胞，嗜酸性粒细胞,极低密度脂蛋白胆固醇,和PON1活性是致命结局的潜在预测因子。
