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A four‐gene transcript score to predict metastatic‐lethal progression in men treated for localized prostate cancer: Development and validation studies

机译:一种四基因转录评分,以预测局部前列腺癌治疗的男性的转移性 - 致死进展:发展与验证研究

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摘要

Abstract Background Molecular studies have tried to address the unmet need for prognostic biomarkers in prostate cancer (PCa). Some gene expression tests improve upon clinical factors for prediction of outcomes, but additional tools for accurate prediction of tumor aggressiveness are needed. Methods Based on a previously published panel of 23 gene transcripts that distinguished patients with metastatic progression, we constructed a prediction model using independent training and testing datasets. Using the validated messenger RNAs and Gleason score (GS), we performed model selection in the training set to define a final locked model to classify patients who developed metastatic‐lethal events from those who remained recurrence‐free. In an independent testing dataset, we compared our locked model to established clinical prognostic factors and utilized Kaplan‐Meier curves and receiver operating characteristic analyses to evaluate the model's performance. Results Thirteen of 23 previously identified gene transcripts that stratified patients with aggressive PCa were validated in the training dataset. These biomarkers plus GS were used to develop a four‐gene ( CST2, FBLN1, TNFRSF19 , and ZNF704 ) transcript (4GT) score that was significantly higher in patients who progressed to metastatic‐lethal events compared to those without recurrence in the testing dataset ( P ?=?5.7?×?10 ?11 ). The 4GT score provided higher prediction accuracy (area under the ROC curve [AUC]?=?0.76; 95% confidence interval [CI]?=?0.69‐0.83; partial area under the ROC curve [pAUC]?=?0.008) than GS alone (AUC?=?0.63; 95% CI?=?0.56‐0.70; pAUC?=?0.002), and it improved risk stratification in subgroups defined by a combination of clinicopathological features (ie, Cancer of the Prostate Risk Assessment‐Surgery). Conclusion Our validated 4GT score has prognostic value for metastatic‐lethal progression in men treated for localized PCa and warrants further evaluation for its clinical utility.
机译:摘要背景分子研究试图解决前列腺癌(PCA)中预后生物标志物的未满足需求。一些基因表达试验在预测结果的临床因素时提高,但需要准确地预测肿瘤侵袭性的额外工具。方法基于先前已发表的23个基因转录物组,即尊重转移性进展的患者,我们使用独立培训和测试数据集构建了预测模型。使用经过验证的Messenger RNA和Gleason评分(GS),我们在培训集中执行了模型选择,以定义最终锁定的模型,以对从留下复发的人开发转移性致命事件的患者进行分类。在独立的测试数据集中,我们将锁定模型与建立临床预后因素进行了比较,利用了Kaplan-Meier曲线和接收器操作特征分析来评估模型的性能。结果13例,23例先前鉴定的基因转录物,其在训练数据集中验证了具有侵略性PCA患者的分层患者。这些生物标志物加GS用于开发四种基因(CST2,FBLN1,TNFRSF19和ZNF704)转录(4GT)评分,其在与在测试数据集中的不复发的人相比,进展到转移性事件的患者中显着更高( p?=?5.7?×10?11)。 4GT得分提供了更高的预测精度(ROC曲线下的区域[AUC]?= 0.76; 95%置信区间[CI]?= 0.69-0.83; ROC曲线下的部分区域[PAUC]?=?0.008)单独的gs(auc?= 0.63; 95%ci?= 0.56-0.70; pauc?= 0.002),它改善了通过临床病理特征的组合定义的亚组中的风险分层(即前列腺风险评估的癌症 - 外科手术)。结论我们经过验证的4GT评分对本地化PCA治疗的男性转移性进展具有预后价值,并认证其临床公用事业的进一步评估。

著录项

  • 来源
    《The Prostate》 |2019年第14期|共8页
  • 作者单位

    Department of Biostatistics School of Public HealthUniversity of WashingtonSeattle Washington;

    Biostatistics and Computational Biology Branch National Institute of Environmental Health;

    Menzies Institute for Medical ResearchUniversity of TasmaniaHobart Tasmania Australia;

    Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattle Washington;

    Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattle Washington;

    Department of UrologyMayo ClinicRochester Minnesota;

    Department of Laboratory Medicine and PathologyMayo ClinicRochester Minnesota;

    GenomeDx Biosciences IncVancouver British Columbia Canada;

    Cancer Genetics and Comparative Genomics Branch National Human Genome Research InstituteNational;

    Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattle Washington;

    AnchorDx CorporationGuangzhou China;

    Department of Biostatistics School of Public HealthUniversity of WashingtonSeattle Washington;

    Division of Public Health SciencesFred Hutchinson Cancer Research CenterSeattle Washington;

  • 收录信息
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 生物化学;
  • 关键词

    biomarkers; metastatic‐lethal; prognosis; prostate cancer; validation;

    机译:生物标志物;转移性 - 致死;预后;前列腺癌;验证;

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