Suppr超能文献

Sp1/Sp3/FLIP 特征预测前列腺癌复发的价值。

Predictive value of Sp1/Sp3/FLIP signature for prostate cancer recurrence.

机构信息

Department of Urology, The University of Texas Health Science Center, San Antonio, Texas, United States of America.

出版信息

PLoS One. 2012;7(9):e44917. doi: 10.1371/journal.pone.0044917. Epub 2012 Sep 13.

Abstract

Prediction of prostate cancer prognosis is challenging and predictive biomarkers of recurrence remain elusive. Although prostate specific antigen (PSA) has high sensitivity (90%) at a PSA level of 4.0 ng/mL, its low specificity leads to many false positive results and considerable overtreatment of patients and its performance at lower ranges is poor. Given the histopathological and molecular heterogeneity of prostate cancer, we propose that a panel of markers will be a better tool than a single marker. We tested a panel of markers composed of the anti-apoptotic protein FLIP and its transcriptional regulators Sp1 and Sp3 using prostate tissues from 64 patients with recurrent and non-recurrent cancer who underwent radical prostatectomy as primary treatment for prostate cancer and were followed with PSA measurements for at least 5 years. Immunohistochemical staining for Sp1, Sp3, and FLIP was performed on these tissues and scored based on the proportion and intensity of staining. The predictive value of the FLIP/Sp1/Sp3 signature for clinical outcome (recurrence vs. non-recurrence) was explored with logistic regression, and combinations of FLIP/Sp1/Sp3 and Gleason score were analyzed with a stepwise (backward and forward) logistic model. The discrimination of the markers was identified by sensitivity-specificity analysis and the diagnostic value of FLIP/Sp1/Sp3 was determined using area under the curve (AUC) for receiver operator characteristic curves. The AUCs for FLIP, Sp1, Sp3, and Gleason score for predicting PSA failure and non-failure were 0.71, 0.66, 0.68, and 0.76, respectively. However, this increased to 0.93 when combined. Thus, the "biomarker signature" of FLIP/Sp1/Sp3 combined with Gleason score predicted disease recurrence and stratified patients who are likely to benefit from more aggressive treatment.

摘要

前列腺癌预后的预测具有挑战性,目前仍缺乏有预测价值的生物标志物。虽然前列腺特异性抗原(PSA)在 PSA 水平为 4.0ng/ml 时具有较高的敏感性(90%),但其特异性较低,导致许多假阳性结果和对患者的过度治疗,且在较低范围内的表现较差。鉴于前列腺癌的组织病理学和分子异质性,我们提出,一个标志物组合将是比单个标志物更好的工具。我们使用 64 例接受根治性前列腺切除术作为前列腺癌主要治疗方法且至少随访 5 年进行 PSA 测量的复发性和非复发性癌症患者的前列腺组织,测试了一个由抗凋亡蛋白 FLIP 及其转录调节剂 Sp1 和 Sp3 组成的标志物组合。对这些组织进行 Sp1、Sp3 和 FLIP 的免疫组织化学染色,并根据染色的比例和强度进行评分。使用逻辑回归探讨了 FLIP/Sp1/Sp3 特征对临床结局(复发与非复发)的预测价值,并使用逐步(向后和向前)逻辑模型分析了 FLIP/Sp1/Sp3 和 Gleason 评分的组合。通过灵敏度特异性分析确定标志物的区分度,并通过接收者操作特征曲线下的面积(AUC)确定 FLIP/Sp1/Sp3 的诊断价值。FLIP、Sp1、Sp3 和 Gleason 评分预测 PSA 失败和非失败的 AUC 分别为 0.71、0.66、0.68 和 0.76,而联合时增加至 0.93。因此,FLIP/Sp1/Sp3 标志物组合与 Gleason 评分的“生物标志物特征”预测了疾病复发,并对可能从更积极治疗中获益的患者进行了分层。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b6f1/3441693/6e1103aa4b3f/pone.0044917.g001.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验