ISUP grade upgrade prediction after radical prostatectomy: Role of Luteinizing Hormone to Testosterone ratio

IF 1.9 Q3 UROLOGY & NEPHROLOGY
BJUI compass Pub Date : 2025-07-14 DOI:10.1002/bco2.70043
Zhihua Pan, Ruizhe Zhao, Jinjiang Fan, Shaobo Zhang, Jie Li, Bianjiang Liu
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引用次数: 0

Abstract

Purpose

This study aimed to evaluate the predictive value of the luteinizing hormone to testosterone (LH/T) ratio in postoperative International Society of Urological Pathology (ISUP) grade upgrading following radical prostatectomy.

Materials and Methods

Clinical data from 503 patients who underwent radical prostatectomy (RP) at Jiangsu Provincial People's Hospital between June 2022 and October 2024 were collected. A stratified random sampling method was used to divide the patients into a training set and a validation set at a 7:3 ratio. In the training set, binary logistic regression analysis was applied to identify key predictive factors for postoperative ISUP classification upgrading. A nomogram predictive model and a multivariate forest plot were constructed. The validation set was assessed using the bootstrap method for C-index, calibration curve, clinical impact curve (CIC) and decision curve analysis (DCA).

Results

The postoperative ISUP upgrading rate was 31.2% (157/503). LH/T, Prostate Imaging Reporting and Data System (PI-RADS) score, preoperative ISUP grade and biopsy method were identified as key predictors of pathological upgrading. The C-index of the training set was 0.800, the validation set was 0.776, and the bootstrap resampling (500 times) in the validation set yielded a C-index of 0.799, indicating high sensitivity and specificity in distinguishing different categories. Calibration curves demonstrated consistency between predicted and actual values, while clinical impact curve (CIC) and DCA confirmed the model's ability to optimize preoperative decision-making.

Conclusion

A lower LH/T ratio is associated with a higher risk of ISUP grade upgrading. As a novel predictive biomarker, LH/T may enhance preoperative risk assessment, aiding in more precise treatment decisions for prostate cancer patients.

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Abstract Image

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根治性前列腺切除术后ISUP分级升级预测:黄体生成素与睾酮比值的作用
目的本研究旨在评估促黄体生成素/睾酮(LH/T)比值在根治性前列腺切除术后国际泌尿病理学会(ISUP)分级升级中的预测价值。材料与方法收集2022年6月至2024年10月在江苏省人民医院行根治性前列腺切除术(RP)的503例患者的临床资料。采用分层随机抽样的方法,按7:3的比例将患者分为训练集和验证集。在训练集中,采用二元logistic回归分析识别术后ISUP分类升级的关键预测因素。建立了nomogram预测模型和多元森林图。采用c指数、校正曲线、临床影响曲线(CIC)和决策曲线分析(DCA)的自举法对验证集进行评估。结果术后ISUP升级率为31.2%(157/503)。LH/T、前列腺影像学报告和数据系统(PI-RADS)评分、术前ISUP分级和活检方法被确定为病理升级的关键预测因素。训练集的c指数为0.800,验证集的c指数为0.776,验证集的bootstrap重采样(500次)的c指数为0.799,表明在区分不同类别方面具有较高的灵敏度和特异性。校正曲线证明了预测值与实际值的一致性,而临床影响曲线(CIC)和DCA证实了模型优化术前决策的能力。结论较低的LH/T比值与较高的ISUP分级升级风险相关。作为一种新型的预测性生物标志物,LH/T可以增强术前风险评估,帮助前列腺癌患者做出更精确的治疗决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
2.30
自引率
0.00%
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0
审稿时长
12 weeks
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