Identification of thyroid cancer biomarkers using WGCNA and machine learning.

Journal: European journal of medical research
PMID: 40186253

Abstract

OBJECTIVE: The incidence of thyroid cancer (TC) is increasing in China, largely due to overdiagnosis from widespread screening and improved ultrasound technology. Identifying precise TC biomarkers is crucial for accurate diagnosis and effective treatment.

Authors

  • Gaofeng Hu
    Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Wenyuan Niu
    Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
  • Jiaming Ge
    College of Computer Science and Technology, Nanjing University of Aeronautics and Astronautics, Nanjing, 210006, China. Electronic address: jiaming.ge@amh-group.com.
  • Jie Xuan
    Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Yanyang Liu
    AIPARK, Zhangjiakou 075000, China.
  • Mengjia Li
    Wenzhou Medical University, Wenzhou, Zhejiang, China.
  • Huize Shen
    Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China.
  • Shang Ma
    Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China. 1226609433@qq.com.
  • Yuanqiang Li
    Zhejiang Cancer Hospital, Hangzhou, Zhejiang, China. yuanqiangli@hotmail.com.
  • Qinglin Li
    College of Chemistry and Materials Science, Fujian Normal University, Fuzhou, Fujian 350007, P. R. China.

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