Roles of kallikrein-2 biomarkers (free-hK2 and pro-hK2) for predicting prostate cancer progression-free survival.

Q3 Medicine
Journal of Circulating Biomarkers Pub Date : 2017-07-20 eCollection Date: 2017-01-01 DOI:10.1177/1849454417720151
Anatilde Gonzalez Guerrico, David Hillman, Jeffery Karnes, Brian Davis, Steven Gaston, George Klee
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引用次数: 5

Abstract

Free human kallikrein 2 (free-hK2) and hK2 pro-form (pro-hK2) have been found to be increased in tumor tissues and serum from patients with prostate cancer. We established semiautomatic assays for free-hK2 and pro-hK2 using a research version of the Beckman Coulter ACCESS2 system. Serum samples from a cohort of 189 men undergoing radical prostatectomy for known high-risk disease were assayed for Prostate-Specific Antigen (PSA), free-PSA, free-hK2, and pro-hK2. Univariate Cox regression and multivariate models were used to predict both Gleason scores and progression-free survival (PFS). Free-hk2 levels ≥80 ng/L were predictive of both Gleason scores ≥7 (p = 0.04) and PFS (p = 0.03). PSA ≥8.0 µg/L also was predictive of PFS (p = 0.02). However, neither % free-PSA nor pro-hK2, when treated as continuous or cutoff variables were associated with Gleason score or PFS. Multivariable models showed that clinical stage T1c versus T2/T3, Gleason score ≥7, and PSA ≥8.0 µg/L or clinical stage T1c versus T2/T3, Gleason scores ≥7, and free-hK2 ≥80 ng/L were among the best models predicting PFS. Both free-hK2 and PSA in conjunction with clinical stage and Gleason score are good predictors of PFS in prostate cancer.

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钾化钾素-2生物标志物(游离hk2和亲hk2)在预测前列腺癌无进展生存期中的作用。
在前列腺癌患者的肿瘤组织和血清中发现游离人钾化因子2 (Free -hK2)和hK2前型(pro-hK2)增加。我们使用Beckman Coulter ACCESS2系统的研究版本建立了free-hK2和pro-hK2的半自动检测方法。对189名因已知高危疾病接受根治性前列腺切除术的男性的血清样本进行了前列腺特异性抗原(PSA)、游离PSA、游离hk2和亲hk2的检测。单变量Cox回归和多变量模型用于预测Gleason评分和无进展生存期(PFS)。Free-hk2水平≥80 ng/L可预测Gleason评分≥7 (p = 0.04)和PFS (p = 0.03)。PSA≥8.0µg/L也可预测PFS (p = 0.02)。然而,当作为连续变量或截止变量处理时,游离psa百分比和亲hk2均与格里森评分或PFS无关。多变量模型显示,临床分期T1c与T2/T3、Gleason评分≥7、PSA≥8.0µg/L或临床分期T1c与T2/T3、Gleason评分≥7、free-hK2≥80 ng/L是预测PFS的最佳模型。游离hk2和PSA结合临床分期和Gleason评分是前列腺癌PFS的良好预测指标。
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
Journal of Circulating Biomarkers
Journal of Circulating Biomarkers Medicine-Biochemistry (medical)
CiteScore
3.20
自引率
0.00%
发文量
9
审稿时长
8 weeks
期刊介绍: Journal of Circulating Biomarkers is an international, peer-reviewed, open access scientific journal focusing on all aspects of the rapidly growing field of circulating blood-based biomarkers and diagnostics using circulating protein and lipid markers, circulating tumor cells (CTC), circulating cell-free DNA (cfDNA) and extracellular vesicles, including exosomes, microvesicles, microparticles, ectosomes and apoptotic bodies. The journal publishes high-impact articles that deal with all fields related to circulating biomarkers and diagnostics, ranging from basic science to translational and clinical applications. Papers from a wide variety of disciplines are welcome; interdisciplinary studies are especially suitable for this journal. Included within the scope are a broad array of specialties including (but not limited to) cancer, immunology, neurology, metabolic diseases, cardiovascular medicine, regenerative medicine, nosology, physiology, pathology, technological applications in diagnostics, therapeutics, vaccine, drug delivery, regenerative medicine, drug development and clinical trials. The journal also hosts reviews, perspectives and news on specific topics.
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