Zhang Yi, Wu Jing, Liang Jun-Ya, Huang Xing, Xia Lei, Ma Da-Wei, Xu Xin-Yu, Wu Ping-Ping
Department of Pathology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, China.
Department of Radiation Oncology, Jiangsu Cancer Hospital, Jiangsu Institute of Cancer Research, the Affiliated Cancer Hospital of Nanjing Medical University, Nanjing, Jiangsu 210009, China.
J Biomed Res. 2018 Sep 29;32(5):336-342. doi: 10.7555/JBR.32.20170096.
While obesity and fat intake have been associated with the risk and prognosis of epithelial ovarian cancer, the association between the lipid levels and epithelial ovarian cancer phenotype remains controversial. We conducted a retrospective study of 349 epithelial ovarian cancer patients who received treatment at Jiangsu Cancer Hospital, China between 2011 and 2017. We analyzed age at diagnosis, blood pressure, plasma glucose content, body mass index (BMI), lipid levels and clinical parameters. Severity of epithelial ovarian cancer was classified according to the International Federation of Gynecology and Obstetrics (FIGO) grading system. Univariate analysis of the clinical factors according to the severity of epithelial ovarian cancer was followed by logistic regression analysis to identify clinical factors significantly associated with epithelial ovarian cancer severity. Univariate analysis indicated that age, BMI, triglyceride (TG), and high density lipoproteins (HDL) differed significantly among different stages of epithelial ovarian cancer (P<0.05). In the logistic regression model, elevated TG (OR: 1.883; 95% CI= 1.207-2.937), and low HDL (OR: 0.497; 95% CI= 0.298-0.829) levels were significantly associated with the high severity epithelial ovarian cancer. Our data indicate that high TG and low HDL levels correlate with a high severity of epithelial ovarian cancer. These data provide important insight into the potential relationship between the lipid pathway and epithelial ovarian cancer phenotype and development.
虽然肥胖和脂肪摄入与上皮性卵巢癌的风险及预后相关,但血脂水平与上皮性卵巢癌表型之间的关联仍存在争议。我们对2011年至2017年间在中国江苏省肿瘤医院接受治疗的349例上皮性卵巢癌患者进行了一项回顾性研究。我们分析了诊断时的年龄、血压、血糖含量、体重指数(BMI)、血脂水平及临床参数。上皮性卵巢癌的严重程度根据国际妇产科联盟(FIGO)分级系统进行分类。根据上皮性卵巢癌的严重程度对临床因素进行单因素分析,随后进行逻辑回归分析以确定与上皮性卵巢癌严重程度显著相关的临床因素。单因素分析表明,年龄、BMI、甘油三酯(TG)和高密度脂蛋白(HDL)在上皮性卵巢癌的不同阶段存在显著差异(P<0.05)。在逻辑回归模型中,TG升高(OR:1.883;95%CI=1.207 - 2.937)和HDL降低(OR:0.497;95%CI=0.298 - 0.829)水平与上皮性卵巢癌的高严重程度显著相关。我们的数据表明,高TG和低HDL水平与上皮性卵巢癌的高严重程度相关。这些数据为脂质途径与上皮性卵巢癌表型及发展之间的潜在关系提供了重要见解。