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Updated: Jul 28, 2025

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
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Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer

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基于临床因素和前列腺特异抗原的前列腺癌风险预测

Taewon Hwang1,2, Hyungseok Oh1, Jung Ah Lee3

  • 1Workplace Health Institute, Total Health Care Center, Kangbuk Samsung Hospital, Sungkyunkwan University School of Medicine, B1, 55 Sejong-daero, Jung-gu, 06521, Seoul, South Korea.

BMC urology
|June 3, 2023
PubMed
概括

一个新的5年前列腺癌 (PCa) 风险模型有效地使用前列腺特异性抗原 (PSA) 水平和个体因素预测PCa. 这个工具有助于评估风险,当PSA水平不确定时.

关键词:
临床因素 临床因素生活方式风险因素生活方式风险因素预测模型的预测模型.前列腺癌是什么意思 前列腺癌是什么意思前列腺特异性抗原前列腺特异性抗原

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