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Updated: Jan 12, 2026

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通过整合机器学习和空间转录组学分析来识别HNSC中的乳化相关生物标志物

Pu-Yu Wang1, Yi-Ping Zheng2, Yu-Lin Zhao3

  • 1Department of Otolaryngology Head and Neck Surgery, The First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.

Discover oncology
|November 5, 2025
PubMed
概括

这项研究确定了三个关键的乳化相关基因 (MSN,KIF2C,RFC4) 作为头部和部状细胞癌 (HNSC) 的潜在生物标志物. 这些基因具有诊断和预后价值,为向的HNSC治疗提供了洞察力.

关键词:
生物标志物 生物标志物在HNSC中,HNSC是最重要的.乳化 乳化 乳化机器学习 机器学习

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