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Training and validation of a novel 4-miRNA ratio model (MiCaP) for prediction of postoperative outcome in prostate cancer patients

机译：用于预测前列腺癌患者术后预后的新型4-miRNA比模型（MiCaP）的训练和验证

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摘要

BackgroundNew molecular biomarkers for prostate cancer (PC) prognosis are urgently needed. Ratio-based models are attractive, as they require no additional normalization. Here, we train and independently validate a novel 4-miRNA prognostic ratio model for PC.

机译：背景技术迫切需要用于前列腺癌（PC）预后的新的分子生物标志物。基于比率的模型很有吸引力，因为它们不需要其他归一化。在这里，我们训练并独立验证PC的新型4-miRNA预后比模型。

著录项

期刊名称 Annals of Oncology
作者
L Schmidt; J Fredsøe; H Kristensen; S H Strand; A Rasmussen; S Høyer; M Borre; P Mouritzen; T Ørntoft; K D Sørensen;
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作者单位

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年(卷),期 -1(29),9
年度 -1
页码 2003–2009
总页数 7
原文格式 PDF
正文语种
中图分类肿瘤学;
关键词
prostate cancer prognosis risk stratification biomarkers microRNA;

机译：前列腺癌;预后;风险分层;生物标志物;microRNA;

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专利

1. Training and validation of a novel 4-miRNA ratio model (MiCaP) for prediction of postoperative outcome in prostate cancer patients [J] . Schmidt L., Fredsoe J., Kristensen H., Annals of oncology: official journal of the European Society for Medical Oncology . 2018,第9期

机译：一种新型4-miRNA比率模型（MICAP）的培训和验证，用于预测前列腺癌患者的术后结果
2. Postoperative complications in high-risk surgical patients - predictors, risk factors, and outcomes following major surgery study (PROFS study NCT02626546): validation of three prediction models [J] . Kalman Sigridur, Wiklund Andreas, Semenas Egidijus, Acta Anaesthesiologica Scandinavica . 2017,第8期

机译：主要外科学习后高风险手术患者的术后并发症 - 预测因子，危险因素和结果（教授学习NCT02626546）：验证三种预测模型
3. Development and internal validation of prediction models for biochemical failure and composite failure after focal salvage high intensity focused ultrasound for local radiorecurrent prostate cancer: Presentation of risk scores for individual patient prognoses [J] . Peters Max, Kanthabalan Abi, Shah Taimur T., Urologic oncology . 2018,第1期

机译：生物化学衰竭预测模型的开发和内部验证，局灶性挽救高强度聚焦超声局局部辐射前列腺癌癌：个体患者预测的风险评分展示
4. Statistical aspects of radiogenomics: can radiogenomics models be used to aid prediction of outcomes in cancer patients? [C] . Boya Ren, Maciej A. Mazurowski Conference on Image Perception, Observer Performance, and Technology Assessment . 2017

机译：放射基因组学的统计方面：放射基因组学模型可用于辅助癌症患者预后的预测吗？
5. Integrative modelling of clinical, genomic, and microenvironmental factors for improved prediction of patient outcome in localized prostate cancer [D] . Lalonde, Emilie 2016

机译：临床，基因组和微环境因素的集成模型可改善对局部前列腺癌患者预后的预测
6. Validation of the four-miRNA biomarker panel MiCaP for prediction of long-term prostate cancer outcome [O] . Siri H. Strand, Linnéa Schmidt, Simone Weiss, -1

机译：验证四个miRNA生物标志物组MiCaP可预测长期前列腺癌的预后
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Training and validation of a novel 4-miRNA ratio model (MiCaP) for prediction of postoperative outcome in prostate cancer patients

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