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Updated: Jan 22, 2026

Microarray-based Identification of Individual HERV Loci Expression: Application to Biomarker Discovery in Prostate Cancer
13:19

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

Published on: November 2, 2013

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确定预后生物标志物,并开发前列腺癌预测模型

Dake Chen1, Wu Chen1, Ruxian Ye1

  • 1Department of Urology Surgery, Wenzhou Third Clinical Institute of Wenzhou Medical University, Wenzhou People's Hospital, Wenzhou Maternal and Child Health Care Hospital, The Third Affiliated Hospital of Shanghai University, Wenzhou, Zhejiang, China.

Frontiers in immunology
|January 21, 2026
PubMed
概括

研究人员确定了九个向基因和前列腺癌 (PCa) 预测结果的三基因预后模型. 向PLXNA4显示出新PCa治疗的潜力,包括免疫疗法.

关键词:
在PC3中,PC3是PC3.免疫疗法 免疫疗法机器学习机器学习前列腺癌是前列腺癌.干细胞是干细胞的组成部分.

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