Significance of Inflammation Markers to Predict Curative Treatment for Prostate Cancer Patients on Active Surveillance

炎症标志物对前列腺癌积极监测患者治愈性治疗预测的意义

阅读:1

Abstract

PURPOSE: Active surveillance (AS) strategy aims to avoid unnecessary or excessive early treatment in patients at a low risk for prostate cancer (PCa). However, a biomarker that can predict the need for early curative treatment in patients under AS has not been identified to date. In this study, we aimed to investigate the potential of inflammatory biomarkers in predicting the requirement of curative treatment in the early period in patients under AS. MATERIALS AND METHODS: This study included a total of 83 patients with the diagnosis of PCa and under AS. Patient age, prostate-specific antigen (PSA) level, prostate volume (PV), PSA density (PSAD), neutrophil/lymphocyte ratio (NLR), platelet/lymphocyte ratio (PLR), systemic immune-inflammation index (SII) and follow-up period were compared between the groups. RESULTS: There was a significant difference between the two groups in terms of PSAD, NLR, PLR and SII (p = 0.037, p = 0.046, p = 0.008, p = 0.004 and p = 0.005, respectively). The cut-off value determined by performing ROC analysis to evaluate the levels that predict the need for curative treatment before AS was 0.125 for PSAD (sensitivity: 61.8%, specificity: 61.2%), 2.01 for NLR (sensitivity: 67.6%, specificity: 55.1%), 115.49 for PLR (sensitivity: 73.5%, specificity: 59.2%) and 465.40 for SII (sensitivity: 70.6%, specificity: 59.2%). CONCLUSIONS: The analysis of PSAD, NLR, PLR and SII before making the decision to conduct AS can guide clinicians regarding curative treatment in the early period.

特别声明

1、本页面内容包含部分的内容是基于公开信息的合理引用;引用内容仅为补充信息,不代表本站立场。

2、若认为本页面引用内容涉及侵权,请及时与本站联系,我们将第一时间处理。

3、其他媒体/个人如需使用本页面原创内容,需注明“来源:[生知库]”并获得授权;使用引用内容的,需自行联系原作者获得许可。

4、投稿及合作请联系:info@biocloudy.com。