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

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.

Keywords:

• Lymph node metastasis
• endometrial cancer
• prediction model
• combined ratio
• early stage

Acknowledgments

We would like to thank the gynecology department of the First Affiliated Hospital of Chongqing Medical University for subject enrollment and data interpretation.

Disclosure statement

No potential conflict of interest was reported by the author(s).

Author contributions

Research design, data collection and analysis were conducted by Yuzhen Huang, Peng Jiang, Wei Kong, Yuan Tu, Ning Li, Jinyu Wang, Qian Zhou and Rui Yuan. The draft was written by Yuzhen Huang and the authors reached to consensus toward final manuscript.

Ethics approval

Approved by Ethics Committee of the First Affiliated Hospital of Chongqing Medical University (2020-192).