Comprehensive analysis of mRNA and lncRNA expression for predicting lymph node metastasis in cervical cancer: a novel seven-gene signature approach.

Journal: Frontiers in genetics
Published Date: Jan 1, 2025

Abstract

OBJECTIVE: Lymph node metastasis (LNM) critically determines recurrence and survival in cervical cancer (CC), yet current imaging-based methods lack accuracy. Retroperitoneal lymph node dissection leads to many adverse events. This study aimed to develop a clinically actionable molecular signature to predict LNM, enabling personalized surgical planning and improved patient outcomes.

Authors

  • Jiahui Wei
    Key Lab of Education Blockchain and Intelligent Technology, Ministry of Education, Guangxi Normal University, Guilin, 541004, China; Guangxi Key Lab of Multi-source Information Mining and Security, Guangxi Normal University, Guilin 541004, China. Electronic address: weijh@stu.gxnu.edu.cn.
  • Ming Wang
    Brain center, Zhejiang Hospital, Hangzhou, China.
  • YuMei Wu
    Reliability and Systems Engineering Open Group, Jiangsu University of Science and Technology, Zhenjiang 212100, China.

Keywords

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