Suppr超能文献

比较根治性前列腺切除术后单标记免疫组化方法与商业基因表达谱分析的预后价值。

Comparing Prognostic Utility of a Single-marker Immunohistochemistry Approach with Commercial Gene Expression Profiling Following Radical Prostatectomy.

机构信息

Department of Urology, Yale University School of Medicine, New Haven, CT, USA.

Department of Urology, University of California San Francisco, San Francisco, CA, USA.

出版信息

Eur Urol. 2018 Nov;74(5):668-675. doi: 10.1016/j.eururo.2018.08.020. Epub 2018 Sep 1.

Abstract

BACKGROUND

Despite the availability of numerous genomic predictors of prostate cancer (PCa) outcome, few comparative studies have been performed.

OBJECTIVE

To compare the prognostic utility of previously validated immunohistochemical (IHC) markers with an expression-based cell-cycle progression (CCP) score.

DESIGN, SETTING, AND PARTICIPANTS: We identified 424 men with localized PCa treated with radical prostatectomy (RP). IHC analysis was performed using a tissue microarray to examine the expression status of PTEN, Ki-67, and ERG compared with previously calculated CCP scores derived from 31 genes normalized to 15 housekeeper genes.

OUTCOME MEASUREMENTS AND STATISTICAL ANALYSIS

Associations of IHC status and CCP scores, adjusted for clinical and pathologic characteristics were performed using Cox regression and competing risks regression to examine risk of biochemical recurrence (BCR), and metastasis or PCa-specific mortality (PCSM). We compared models using concordance index (c-index) testing.

INTERVENTION

RP.

RESULTS AND LIMITATIONS

Median age at treatment was 59 yr, and patients were followed for a median of 114 mo after RP. By 10 yr after RP, 27% experienced BCR and 4% developed metastasis or PCSM. In a multivariable model adjusted for Cancer of the Prostate Risk Assessment score (CAPRA-S), CCP was associated with risks of recurrence (hazard ratio [HR] 1.51, 95% confidence interval [CI] 1.08-2.11) and metastasis/PCSM (HR 2.15, 95% CI 1.36-3.39). PTEN loss was not associated with recurrence but was associated with metastasis/PCSM (HR 5.26, 95% CI 2.57-10.7), adjusted for CAPRA-S. The c-index for models consisting of PTEN status and CAPRA-S was similar (0.80) for risk of metastasis/PCSM when compared with CCP and CAPRA-S (0.81). Integration of Ki-67 and ERG status did not improve the c-index relative to CAPRA-S and PTEN alone.

CONCLUSIONS

PTEN status offered comparable discrimination of the risk of metastasis or death from PCa relative to a commercial RNA amplification-based CCP assay. Efforts are warranted to reduce the cost of PCa prognostic tools in order to expand access.

PATIENT SUMMARY

We compared a commercial genomic signature and the expression status of single genes to predict outcomes in men with prostate cancer who were treated with surgical removal. When accounting for clinical information about the patient's cancer, the status of the PTEN gene alone matched a multigene panel to predict which patient's cancer would metastasize or lead to death from the disease.

摘要

背景

尽管有许多预测前列腺癌(PCa)预后的基因组预测因子,但很少有比较研究。

目的

比较先前验证的免疫组织化学(IHC)标志物与基于表达的细胞周期进展(CCP)评分的预后实用性。

设计、地点和参与者:我们确定了 424 名接受根治性前列腺切除术(RP)治疗的局限性 PCa 男性。使用组织微阵列进行 IHC 分析,以检查 PTEN、Ki-67 和 ERG 的表达状态,并与从 31 个基因计算得出的先前计算的 CCP 评分进行比较,这些基因经归一化为 15 个管家基因。

测量和统计分析结果

使用 Cox 回归和竞争风险回归调整临床和病理特征后,对 IHC 状态和 CCP 评分进行了关联,以检查生化复发(BCR)、转移或 PCa 特异性死亡率(PCSM)的风险。我们使用一致性指数(c-index)测试比较了模型。

干预措施

RP。

结果和局限性

治疗时的中位年龄为 59 岁,RP 后中位随访时间为 114 个月。在 RP 后 10 年内,27%的患者发生 BCR,4%的患者发生转移或 PCSM。在调整前列腺癌风险评估评分(CAPRA-S)的多变量模型中,CCP 与复发风险(危险比[HR]1.51,95%置信区间[CI]1.08-2.11)和转移/PCSM(HR 2.15,95%CI 1.36-3.39)相关。PTEN 缺失与复发无关,但与转移/PCSM 相关(HR 5.26,95%CI 2.57-10.7),调整后的 CAPRA-S。与 CCP 和 CAPRA-S 相比,由 PTEN 状态和 CAPRA-S 组成的模型的 c-index 对于转移/PCSM 风险的相似(0.80)。Ki-67 和 ERG 状态的整合与 CAPRA-S 和单独的 PTEN 相比,并未提高 c-index。

结论

PTEN 状态与商业 RNA 扩增 CCP 检测相比,对预测接受手术切除的前列腺癌患者转移或死亡风险具有相当的鉴别力。值得努力降低前列腺癌预后工具的成本,以扩大其应用范围。

患者总结

我们比较了一种商业基因组标记物和单个基因的表达状态,以预测接受手术切除的前列腺癌患者的预后。当考虑到患者癌症的临床信息时,PTEN 基因的状态单独与多基因面板相匹配,以预测哪些患者的癌症会转移或死于该疾病。

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验