构建和验证用于识别处于快速进展晚期激素敏感性前列腺癌风险的患者的nomogram。

IF 3.4 2区 医学 Q2 ONCOLOGY
Xiaolong Xu, Weiyu Fei, Mingshuang Wu, Yi He, Bo Yang, Cuicui Lv
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引用次数: 0

摘要

背景:本研究旨在评估乳酸脱氢酶(LDH)和空腹甘油三酯-葡萄糖(TyG)指数在晚期激素敏感性前列腺癌(HSPC)患者中的预后意义,最终目的是开发和验证预测去势抵抗性前列腺癌(CRPC)自由生存的nomogram。材料与方法:回顾性分析207例CRPC患者的随访资料,这些患者最初和唯一的治疗方法是雄激素剥夺治疗。为了评估预后变量,进行了单因素和多因素Cox回归分析。利用一致性指数(C-index)、校正曲线、受试者工作特征(ROC)曲线和决策曲线分析(DCA)构建并检验了一种新的nomogram模型。结果:确定TyG指数、LDH、M分期和Gleason sum为独立的预后指标,并将其合并形成nomogram。该nomogram在第6个月、12个月、18个月和24个月的CRPC发展预测中效果良好。训练集和验证集的c指数分别为0.798和0.790。ROC曲线、校正图和DCA均具有良好的判别和预测性能。此外,nomogram比M分期和Gleason sum具有更高的预后能力。nomogram相关风险评分将患者分为两组,进展差异显著。结论:所建立的nomogram nomogram诊断晚期HSPC快速进展的高危患者,可及时制定针对性的治疗方案和随访方法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Construction and validation of a nomogram for identifying the patients at risk for rapid progression of advanced hormone-sensitive prostate cancer.

Background: This study aimed to evaluate the prognostic significance of lactate dehydrogenase (LDH) and fasting triglyceride-glucose (TyG) index in advanced hormone-sensitive prostate cancer (HSPC) patients, with the ultimate goal of developing and validating a nomogram for predicting castration-resistant prostate cancer (CRPC) free survival.

Materials and methods: The follow-up data of 207 CRPC patients who had androgen deprivation therapy as their initial and only treatment before progression were retrospectively reviewed. To assess prognostic variables, univariate and multivariate Cox regression analyses were performed. The concordance index (C-index), calibration curves, receiver operating characteristic (ROC) curves, and decision curve analyses (DCA) were utilized to construct and test a novel nomogram model.

Results: TyG index, LDH, M stage and Gleason sum were determined to be independent prognostic markers and were combined to create a nomogram. This nomogram worked well in the tailored prediction of CRPC development at the sixth, twelve, eighteen, and twenty-fourth months. The C-indexes for the training and validation sets were 0.798 and 0.790, respectively. The ROC curves, calibration plots, and DCA all indicated good discrimination and prediction performance. Furthermore, the nomogram had a higher prognostic ability than the M stage and the Gleason sum. The nomogram-related risk score classified the patient population into two groups with significant progression differences.

Conclusions: The created nomogram could help identify patients at high risk for rapid progression of advanced HSPC, allowing for the formulation of tailored therapy regimens and follow-up methods in a timely manner.

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来源期刊
BMC Cancer
BMC Cancer 医学-肿瘤学
CiteScore
6.00
自引率
2.60%
发文量
1204
审稿时长
6.8 months
期刊介绍: BMC Cancer is an open access, peer-reviewed journal that considers articles on all aspects of cancer research, including the pathophysiology, prevention, diagnosis and treatment of cancers. The journal welcomes submissions concerning molecular and cellular biology, genetics, epidemiology, and clinical trials.
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