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Updated: Jan 7, 2026

Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model
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Comparison of Predictive Performance of Three Lymph Node Staging Systems in Colorectal Signet Ring Cell Carcinoma Based on Machine Learning Model

Published on: April 18, 2025

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作为双瘤免疫调节剂的EGR3:一种机器学习驱动的预后标,用于冷乳腺癌

Qianxue Wu1, Daqiang Song1, Jian Yue2

  • 1Department of Breast and Thyroid Surgery, The First Affiliated Hospital of Chongqing Medical University, Chongqing, China.

Frontiers in immunology
|December 31, 2025
PubMed
概括

这项研究确定了乳腺癌预后的3基因特征 (EGR3,RECQL4,MMP1). EGR3作为瘤抑制剂和免疫调节剂,为免疫治疗提供了潜在的治疗点.

关键词:
这是EGR3的EGR3.乳腺癌 乳腺癌 乳腺癌机器学习是机器学习.多主题整合多主题整合.瘤-免疫性 免疫性

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