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组织学和免疫组织化学特征可预测低-中危子宫内膜癌女性的淋巴结状态。

Histological and immunohistochemical profiles predict lymph node status in women with low-intermediate risk endometrial cancer.

机构信息

Service de Gynécologie-Obstétrique, Hôpital Tenon, AP-HP, Paris, France.

出版信息

Gynecol Oncol. 2013 Sep;130(3):457-62. doi: 10.1016/j.ygyno.2013.06.001. Epub 2013 Jun 11.

Abstract

OBJECTIVE

The aim of this study was to build a model to predict the risk of lymph node metastases (LNM) in women with low- or intermediate-risk endometrial cancer (EC) using histological and immunohistochemical markers.

METHODS

Samples were collected from 68 women with low- or intermediate-risk EC. European Society of Medical Oncology (ESMO) risk group, lymphovascular space involvement (LVSI), immunostaining expressions of Estrogen receptor (ER) and Progesteron receptor (PR) were used to build a recursive partitioning model to predict final lymph node status.

RESULTS

The number of women with final low- and intermediate risk EC was 34 (50%) each. LVSI was present in 7 women with low-risk (20%) and 28 (80%) with intermediate-risk EC. Nineteen women (28%) had LNM at final histology. A lower immunostaining of ER (p=0.02) and PR (p=0.03) was found in women with LNM compared with those without. Women were correctly classified by the model in 87% of cases; among the 56 women without LNM that were predicted, 48 (86%) had no LNM at final histology. Among the 12 women with LNM predicted, 11 (92%) had LNM at final histology.

CONCLUSIONS

Our results show that lymph node status can be predicted with a relatively high accuracy in women with low- or intermediate-risk EC. This can help physicians to better adapt surgical staging and adjuvant therapies.

摘要

目的

本研究旨在利用组织学和免疫组织化学标志物,为低危或中危子宫内膜癌(EC)女性建立预测淋巴结转移(LNM)风险的模型。

方法

本研究收集了 68 名低危或中危 EC 女性的样本。使用欧洲肿瘤内科学会(ESMO)风险组、淋巴管血管空间浸润(LVSI)、雌激素受体(ER)和孕激素受体(PR)免疫染色表达,构建递归分区模型以预测最终淋巴结状态。

结果

最终低危和中危 EC 女性的数量分别为 34 名(50%)。低危 EC 中有 7 名(20%)和中危 EC 中有 28 名(80%)存在 LVSI。19 名女性(28%)在最终组织学中存在 LNM。与无 LNM 的女性相比,LNM 女性的 ER(p=0.02)和 PR(p=0.03)免疫染色较低。在 87%的病例中,该模型正确地对女性进行了分类;在预测的 56 名无 LNM 的女性中,48 名(86%)最终组织学无 LNM。在预测的 12 名有 LNM 的女性中,有 11 名(92%)最终组织学有 LNM。

结论

我们的研究结果表明,低危或中危 EC 女性的淋巴结状态可以通过相对较高的准确率进行预测。这有助于医生更好地适应手术分期和辅助治疗。

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