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[建立基于TCGA数据库和炎症相关基因的前列腺癌预后风险模型]

Rong-Fang Zhong1, Jun-Chao Wu1, Jia-Cheng Ling1

  • 1Anhui Medical University Research Institute of Urology / Key Laboratory of Anhui Province for Genitourinary Diseases / Department of Urology, the First Affiliated Hospital of Anhui Medical University, Hefei, Anhui 230022, China.

Zhonghua nan ke xue = National journal of andrology
|October 17, 2023
PubMed
概括

使用与炎症相关的基因的新预后模型可以预测前列腺癌 (PCa) 的结果. 高风险患者的无复发生存率较差,突出显示了炎症在PCa进展中的作用.

关键词:
前列腺癌;癌症基因图集 (TCGA) 数据库;与炎症相关的基因;预后风险模型.

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