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全面评估 ERα、PR、Ki67、P53 预测低危型子宫内膜癌淋巴结转移风险。

Comprehensive Assessment of ERα, PR, Ki67, P53 to Predict the Risk of Lymph Node Metastasis in Low-Risk Endometrial Cancer.

机构信息

Department of Gynecology, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

出版信息

J Invest Surg. 2023 Dec;36(1):2152508. doi: 10.1080/08941939.2022.2152508.

Abstract

PURPOSE

According to international guidelines, selective lymph node dissection can be performed on patients with early-stage endometrial cancer. However, some patients at early stage have already occurred lymph node metastasis at the time of diagnosis. This study was aimed to find a method to predict the risk of lymph node metastasis in this part of patient.

METHODS

We collected data from 571 patients as training cohort and 351 patients as validation cohort for this study. Then we performed univariate and multivariate analyses to confirm the correlation of frequently used factors and lymph node metastasis. Combined analysis of four commonly indicators (ERα, PR, P53 and Ki67) from pathological parameter sources was mainly carried out, and the combined ratio is defined as (ERα + PR)/(Ki67 + P53). Then the accuracy of the combined ratio and other factors in prediction were compared by AUC value. Also, the optimal truncation value was searched. Finally, patients followed up for more than two years were divided into groups by the threshold value, and their difference in survival was explored.

RESULTS

This study showed that CA125, grade, LVSI, ERα, PR, P53, Ki67 have statistical significance (P-value <0.05). The AUC value of combined ratio is 0.876, which is the best. The best cutoff value of combined ratio is 1.38.

CONCLUSION

The combined ratio cutoff value of 1.38 in this study can be used for prediction of risk of lymph node metastasis in early-stage endometrial cancer patients and provide a reference for therapeutic planning.

摘要

目的

根据国际指南,早期子宫内膜癌患者可进行选择性淋巴结清扫术。然而,部分早期患者在诊断时已经发生淋巴结转移。本研究旨在寻找一种方法来预测这部分患者发生淋巴结转移的风险。

方法

本研究共纳入 571 例患者作为训练队列和 351 例患者作为验证队列。然后,我们进行单因素和多因素分析,以确认常用因素与淋巴结转移的相关性。主要进行来自病理参数来源的四个常用指标(ERα、PR、P53 和 Ki67)的联合分析,并定义联合比为(ERα+PR)/(Ki67+P53)。然后通过 AUC 值比较联合比和其他因素在预测中的准确性,并搜索最佳截断值。最后,根据阈值将随访时间超过两年的患者分为不同组,探讨其生存差异。

结果

本研究表明 CA125、分级、LVSI、ERα、PR、P53、Ki67 具有统计学意义(P 值<0.05)。联合比的 AUC 值为 0.876,为最佳。联合比的最佳截断值为 1.38。

结论

本研究中 1.38 的联合比截断值可用于预测早期子宫内膜癌患者发生淋巴结转移的风险,为治疗方案提供参考。

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