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人口统计学因素预测子宫内膜腺癌患者淋巴结受累风险

Demographic Factors Predict Risk of Lymph Node Involvement in Patients with Endometrial Adenocarcinoma.

作者信息

Anderson Eric M, Luu Michael, Kamrava Mitchell

机构信息

Department of Radiation Oncology, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

Department of Biostatistics and Bioinformatics, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.

出版信息

Biology (Basel). 2023 Jul 10;12(7):982. doi: 10.3390/biology12070982.

Abstract

The presence of lymph node positivity (LN+) guides adjuvant treatment for endometrial adenocarcinoma (EAC) patients, but recommendations regarding LN evaluation at the time of primary surgery remain variable. Sociodemographic factors in addition to pathologic tumor characteristics may more accurately predict risk of LN+ in EAC patients. Patients diagnosed between 2004 and 2016 with pathologic T1-T2 EAC who had at least one lymph node sampled at the time of surgery in the National Cancer Data Base were included. Pathologic primary tumor predictors of LN+ were identified using logistic regression. To predict overall, pelvic only, and paraaortic and/or pelvic LN+, nomograms were generated. Among the 35,170 EAC patients included, 2864 were node positive. Using multivariable analysis, younger patient age (OR 0.98, 95% CI 0.98-0.99, < 0.001), black versus white race (OR 1.19, 95% CI 1.01-1.40, = 0.04), increasing pathologic tumor stage and grade, increase in tumor size, and presence of lymphovascular invasion were predictive of regional LN+. Both black versus white (OR 1.64, 95% CI 1.27-2.09, < 0.001) and other versus white race (OR 1.54, 95% CI 1.12-2.07, = 0.006) strongly predicted paraaortic LN+ in the multivariable analysis. Independent subset analyses of black and white women revealed that tumor grade was a stronger predictor of LN+ among black women. In addition to standard pathologic tumor features, patient age and race were associated with a higher risk of regional LN+ generally and paraaortic LN+ specifically. This information may inform adjuvant treatment decisions and guide future studies.

摘要

淋巴结阳性(LN+)的存在指导子宫内膜腺癌(EAC)患者的辅助治疗,但关于初次手术时淋巴结评估的建议仍存在差异。除了病理肿瘤特征外,社会人口统计学因素可能更准确地预测EAC患者发生LN+的风险。纳入了2004年至2016年间在国家癌症数据库中诊断为病理T1-T2期EAC且手术时至少取了一个淋巴结样本的患者。使用逻辑回归确定LN+的病理原发性肿瘤预测因素。为了预测总体、仅盆腔以及腹主动脉旁和/或盆腔LN+,生成了列线图。在纳入的35170例EAC患者中,2864例为淋巴结阳性。通过多变量分析,患者年龄较轻(比值比[OR]0.98,95%置信区间[CI]0.98-0.99,P<0.001)、黑人与白人种族(OR 1.19,95%CI 1.01-1.40,P=0.04)、病理肿瘤分期和分级增加、肿瘤大小增加以及存在淋巴管浸润可预测区域LN+。在多变量分析中,黑人与白人(OR 1.64,95%CI 1.27-2.09,P<0.001)以及其他种族与白人种族(OR 1.54,95%CI 1.12-2.07,P=0.006)均强烈预测腹主动脉旁LN+。对黑人和白人女性的独立亚组分析显示,肿瘤分级在黑人女性中是LN+更强的预测因素。除了标准的病理肿瘤特征外,患者年龄和种族通常与区域LN+风险较高相关,特别是腹主动脉旁LN+。这些信息可能为辅助治疗决策提供参考并指导未来的研究。

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