Taşkın Salih, Şükür Yavuz Emre, Varlı Bulut, Koyuncu Kazibe, Seval Mehmet Murat, Ateş Can, Yüksel Selcen, Güngör Mete, Ortaç Fırat
Department of Obstetrics and Gynecology, Ankara University School of Medicine, Cebeci, 06100, Ankara, Turkey.
Department of Biostatistics, Ankara University School of Medicine, Ankara, Turkey.
Arch Gynecol Obstet. 2017 Oct;296(4):803-809. doi: 10.1007/s00404-017-4477-7. Epub 2017 Jul 31.
To determine the clinical and pathological risk factors for lymph node metastasis (LNM) in patients with endometrial cancer and to create a nomogram to predict LNM in patients without surgical staging.
All patients with endometrial adenocarcinoma who were treated surgically at a university based gynecologic oncology clinic between January 2011 and December 2014 were recruited. Women with endometrial adenocarcinoma who were surgically staged including lymphadenectomy were included in the study. Data regarding clinical and pathological risk factors were recorded. The histopathologic slides from the staging surgeries were re-evaluated microscopically by a gynecologic pathologist for all parameters along with lymphovascular space invasion (LVSI).
A total of 279 patients with endometrial cancer were analyzed. Among those, 31 (11.1%) had lymph node metastasis. According to the univariate analyses, elevated CA 125 (>35 U/mL), LVSI, myometrial invasion ≥50%, grade 3 disease, non-endometrioid type, and cervical stromal involvement were significantly associated with LNM. The multivariate logistic regression analysis showed that LVSI, non-endometrioid type, elevated CA 125, and cervical stromal involvement increased the risk of LNM. However, myometrial invasion and grade did not significantly affect the risk of LNM. A nomogram to predict LNM was constructed using these factors (concordance index 0.92).
LVSI is the most important predictor for LNM. The present nomogram can be useful to decide if adjuvant therapy is required for patients who undergo simple hysterectomy for a benign etiology and incidentally diagnosed with endometrial cancer by pathological evaluation.
确定子宫内膜癌患者发生淋巴结转移(LNM)的临床和病理危险因素,并创建一个列线图来预测未进行手术分期患者的LNM。
招募2011年1月至2014年12月在一所大学的妇科肿瘤诊所接受手术治疗的所有子宫内膜腺癌患者。纳入接受了包括淋巴结切除术在内的手术分期的子宫内膜腺癌女性患者。记录有关临床和病理危险因素的数据。妇科病理学家对分期手术的组织病理学切片进行显微镜重新评估,以确定所有参数以及脉管间隙浸润(LVSI)情况。
共分析了279例子宫内膜癌患者。其中,31例(11.1%)发生了淋巴结转移。单因素分析显示,CA 125升高(>35 U/mL)、LVSI、肌层浸润≥50%、3级疾病、非子宫内膜样类型以及宫颈间质受累与LNM显著相关。多因素逻辑回归分析表明,LVSI、非子宫内膜样类型、CA 125升高以及宫颈间质受累增加了LNM的风险。然而,肌层浸润和分级并未显著影响LNM的风险。使用这些因素构建了一个预测LNM的列线图(一致性指数为0.92)。
LVSI是LNM最重要的预测因素。目前的列线图有助于决定对于因良性病因接受单纯子宫切除术且经病理评估偶然诊断为子宫内膜癌的患者是否需要辅助治疗。