[1]张 莹,谢 静.前列腺癌预后标志的研究[J].医学信息,2019,32(09):7-10.[doi:10.3969/j.issn.1006-1959.2019.09.003]
　ZHANG Ying,XIE Jing.Prognostic Markers of Prostate Cancer[J].Journal of Medical Information,2019,32(09):7-10.[doi:10.3969/j.issn.1006-1959.2019.09.003]
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前列腺癌预后标志的研究()
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医学信息[ISSN:1006-1959/CN:61-1278/R]

卷:
32卷
期数:
2019年09期
页码:
7-10
栏目:
出版日期:
2019-05-01

文章信息/Info

Title:
Prognostic Markers of Prostate Cancer
文章编号:
1006-1959（2019）09-0007-04
作者:
张 莹; 谢 静
（上海市食品药品监督管理局认证审评中心，上海 200020）
Author(s):
ZHANG Ying; XIE Jing
(Shanghai Food and Drug Administration Certification and Evaluation Center,Shanghai 200020,China)
关键词:
前列腺癌; 预后; 标志; 基因表达
Keywords:
Prostate cancer; Prognosis; Marker; Gene expression
分类号:
R737.25；R737.11
DOI:
10.3969/j.issn.1006-1959.2019.09.003
文献标志码:
B
摘要:
目的 探索可以准确预测患者生存状态的基因标志物模型，提高前列腺癌的治疗成功率。方法 利用前列腺癌患者的基因表达谱数据和样本临床数据，筛选出与患者生存时间显著相关的基因作为特征来构建预后模型，并对模型预测的准确性进行验证。结果 构建了共包含ENSG00000101844，ENSG00000107077及ENSG00000117461 3个分子标记物为组合的预后标志物模型，该预后标志物模型表现出较好的预测性能，可有效提高前列腺癌预后评估的准确性。结论 mRNA预后标志物模型可有效预测患者的生存状态，且具有较高的预测准确性、实用性和稳定性，为分子预后标志物在实际临床中的应用提供了可能性，也为患者在选择合理的治疗方案上，提供更加准确的指导建议，同时为开发用于检测前列腺癌预后效果的医疗器械产品提供理论基础。
Abstract:
Objective To explore a genetic marker model that can accurately predict the patient's survival status and improve the success rate of prostate cancer treatment.Methods Using gene expression profiling data and clinical data of prostate cancer patients, the genes with significant correlation with patient survival time were selected as features to construct a prognostic model, and the accuracy of model prediction was verified. Results A prognostic marker model consisting of three molecular markers including ENSG00000101844, ENSG00000107077 and ENSG00000117461 was constructed. The prognostic marker model showed better predictive performance and could effectively improve the accuracy of prognosis evaluation of prostate cancer.Conclusion The mRNA prognostic marker model can effectively predict the survival status of patients, and has high prediction accuracy, practicability and stability. It provides possibility for the application of molecular prognosis markers in actual clinical practice, and also selects patients. Provide a more accurate guidance on reasonable treatment options, and provide a theoretical basis for the development of medical device products for detecting the prognosis of prostate cancer.

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更新日期/Last Update: 2019-05-01