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基础血清总睾酮水平可预测一大群接受根治性前列腺切除术的高加索前列腺癌患者的活检及病理国际泌尿病理学会(ISUP)分级组。

Basal total testosterone serum levels predict biopsy and pathological ISUP grade group in a large cohort of Caucasian prostate cancer patients who underwent radical prostatectomy.

作者信息

Tafuri Alessandro, Sebben Marco, Rizzetto Riccardo, Amigoni Nelia, Shakir Aliasger, Processali Tania, Pirozzi Marco, Gozzo Alessandra, Odorizzi Katia, De Michele Mario, Gallina Sebastian, Bianchi Alberto, Ornaghi Paola Irene, Brunelli Matteo, Migliorini Filippo, Cerruto Maria Angela, Siracusano Salvatore, Artibani Walter, Antonelli Alessandro, Porcaro Antonio B

机构信息

Department of Urology, University of Verona, Azienda Ospedaliera Universitaria Integrata Verona, Verona, Italy.

USC Institute of Urology, Catherine and Joseph Aresty Department of Urology, Keck School of Medicine, University of Southern California (USC), Los Angeles, CA, USA.

出版信息

Ther Adv Urol. 2020 Jun 24;12:1756287220929481. doi: 10.1177/1756287220929481. eCollection 2020 Jan-Dec.

DOI:10.1177/1756287220929481
PMID:32636934
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC7318822/
Abstract

AIMS

The study aimed to evaluate associations of preoperative total testosterone (TT) with the risk of aggressive prostate cancer (PCA).

MATERIALS & METHODS: From 2014 to 2018, basal TT levels were measured in 726 consecutive PCA patients. Patients were classified according to the International Society of Urologic Pathology (ISUP) system. Aggressive PCA was defined by the detection of ISUP > 2 in the surgical specimen. The logistic regression model evaluated the association of TT and other clinical factors with aggressive PCA.

RESULTS

On univariate analysis, there was a significant association of basal TT with the risk of aggressive PCA as well as age, prostate-specific antigen (PSA), percentage of biopsy positive cores (BPC), tumor clinical stage (cT), and biopsy ISUP grade groups. On multivariate analysis, two models were considered. The first (model I) excluded biopsy ISUP grading groups and the second (model II) included biopsy ISUP grade groups. Multivariate model I, revealed TT as well as all other variables, was an independent predictor of the risk of aggressive disease [odds ratio (OR) = 1.585; 95% confidence interval (CI): 1.113-2.256;  = 0.011]. Elevated basal PSA greater than 20 µg/dl was associated with the risk of aggressive PCA. Multivariate model II revealed that basal TT levels maintain a positive association between aggressive PCA, whereas age, BPC, and clinical stage cT3 lost significance. In the final adjusted model, the level of risk of TT did not change from univariate analysis (OR = 1.525; 95% CI: 1.035-2.245;  = 0.011).

CONCLUSION

Elevated preoperative TT levels are associated with the risk of aggressive PCA in the surgical specimen. TT may identify patients who are at risk of aggressive PCA in the low and intermediate European Association of Urology (EAU) risk classes.

摘要

目的

本研究旨在评估术前总睾酮(TT)与侵袭性前列腺癌(PCA)风险之间的关联。

材料与方法

2014年至2018年,对726例连续的PCA患者测量基础TT水平。患者根据国际泌尿病理学会(ISUP)系统进行分类。侵袭性PCA定义为手术标本中检测到ISUP>2。逻辑回归模型评估TT和其他临床因素与侵袭性PCA的关联。

结果

单因素分析显示,基础TT与侵袭性PCA风险以及年龄、前列腺特异性抗原(PSA)、活检阳性核心百分比(BPC)、肿瘤临床分期(cT)和活检ISUP分级组之间存在显著关联。多因素分析考虑了两个模型。第一个模型(模型I)排除了活检ISUP分级组,第二个模型(模型II)包括活检ISUP分级组。多因素模型I显示,TT以及所有其他变量都是侵袭性疾病风险的独立预测因素[比值比(OR)=1.585;95%置信区间(CI):1.113 - 2.256;P = 0.011]。基础PSA升高大于20μg/dl与侵袭性PCA风险相关。多因素模型II显示,基础TT水平与侵袭性PCA之间保持正相关,而年龄、BPC和临床分期cT3失去了显著性。在最终调整模型中,TT的风险水平与单因素分析相比没有变化(OR = 1.525;95% CI:1.035 - 2.245;P = 0.011)。

结论

术前TT水平升高与手术标本中侵袭性PCA风险相关。TT可能有助于识别欧洲泌尿外科学会(EAU)低风险和中风险类别中具有侵袭性PCA风险的患者。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abb/7318822/a361dcfc262f/10.1177_1756287220929481-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abb/7318822/ad7f6406cd51/10.1177_1756287220929481-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abb/7318822/7152426a88ae/10.1177_1756287220929481-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abb/7318822/a361dcfc262f/10.1177_1756287220929481-fig3.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abb/7318822/ad7f6406cd51/10.1177_1756287220929481-fig1.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abb/7318822/7152426a88ae/10.1177_1756287220929481-fig2.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/9abb/7318822/a361dcfc262f/10.1177_1756287220929481-fig3.jpg

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