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作 者:黄宝友[1] 诸海燕[1] 王芳[2] 林凤[1] 郑飞云[1] 赵红琴 HUANG Baoyou;ZHU Haiyan;WANG Fang;LIN Feng;ZHENG Feiyun;ZHAO Hongqin(Department of Pathology,First Affiliated Hospital of Wenzhou Medical University,Wenzhou 325000,China;Department of Gynecology,First Affiliated Hospital of Wenzhou Medical University,Wenzhou 325000,China)
机构地区:[1]温州医科大学附属第一医院妇科,浙江温州325000 [2]温州医科大学附属第一医院病理科,浙江温州325000
出 处:《中国现代医生》2018年第34期5-8,共4页China Modern Doctor
基 金:国家自然科学青年基金资助项目(81602305);浙江省自然科学青年基金资助项目(LQ18H280007);浙江省温州市科技局公益类项目(Y20150046)
摘 要:目的探讨子宫浆液性癌的临床病理特征及其发生的高危因素。方法回顾性分析2013年1月~2018年5月期间于我院住院行手术治疗子宫内膜恶性肿瘤患者的临床资料,经过筛选后分为子宫浆液性癌组(n=30)和子宫内膜样腺癌组(n=171),先将两组的年龄、孕产次、合并糖尿病、组织分化、宫颈间质浸润等基本临床病理资料指标行单因素分析,再将差异有统计学意义的指标行Logistic多因素分析,从而得出子宫浆液性癌的临床病理特征及其发生的独立高危因素。结果与子宫内膜样腺癌组相比,子宫浆液性癌组将年龄[(60.67±9.63) vs (54.26±7.82)]、绝经(80.0%vs 58.5%)、合并糖尿病(30.0%vs 11.7%)、CA125阳性(36.7%vs 19.9%)、FIGO晚期(33.3%vs 9.4%)、宫颈间质浸润(20.0%vs 7.6%)、组织低分化(60.0%vs 18.1%)、深肌层浸润(33.3%vs 10.5%)、淋巴结转移(23.3%vs 6.4%)等9种差异有统计学意义的因素行Logistic多因素分析,结果示年龄[(OR:1.076;95%CI:1.004~1.152),P=0.038]、组织低分化[(OR:4.043;95%CI:1.550-10.546),P=0.004]是发生子宫浆液性癌的独立危险因素。结论高龄、组织低分化是发生子宫浆液性癌的独立高危因素。Objective To investigate the clinicopathological features of uterine serous carcinoma and its risk factors.Methods The clinical data of patients with endometrial malignancies who underwent surgery in our hospital from January 2013 to May 2018 were retrospectively analyzed. After screening, they were divided into uterine serous carcinoma group(n=30) and endometrium adenocarcinoma group(n=171). The primary clinicopathological data such as age, maternal parity, diabetes mellitus, tissue differentiation, and cervical interstitial infiltration were analyzed by univariate analysis. And then the statistically significant indicators were analyzed by logistic multivariate analysis, resulting in the clinicopathological features of uterine serous carcinoma and its independent risk factors. Results The nine factors of the age[(60.67±9.63) vs(54.26±7.82)], menopause(80.0% vs 58.5%), and diabetes(30.0% vs 11.7%), CA125 positive(36.7% vs 19.9%), FIGO later period(33.3% vs 9.4%), cervical interstitial infiltration(20.0% vs 7.6%), tissue poorly differentiated(60.0% vs 18.1%), deep myometrial invasion(33.3% vs 10.5%), lymph node metastasis(23.3% vs 6.4%)were statistically significant differeces, Logistic multivariate analysis showed age[(OR: 1.076;95% CI: 1.004-1.152), P=0.038], tissue poorly differentiated[(OR: 4.043; 95% CI: 1.550-10.546), P=0.004] are independent risk factors for uterine serous carcinoma. Conclusion Old age and poor tissue differentiation are independent risk factors for uterine serous carcinoma.
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