Evaluating the prognostic value of tumor deposits in non-metastatic lymph node-positive colon adenocarcinoma using Cox regression and machine learning.

Journal: International journal of colorectal disease
PMID: 38922361

Abstract

BACKGROUND: The 8th AJCC TNM staging for non-metastatic lymph node-positive colon adenocarcinoma patients(NMLP-CA) stages solely by lymph node status, irrespective of the positivity of tumor deposits (TD). This study uses machine learning and Cox regression to predict the prognostic value of tumor deposits in NMLP-CA.

Authors

  • Zhen Zheng
    Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, 57 Xingning RoadZhejiang Province, Ningbo, China.
  • Hui Luo
    Thoracic Surgery Department, Nan Chong Center Hospital, Nanchong, China.
  • Ke Deng
    Chinese Evidence-based Medicine Center, Cochrane China Center and National Clinical Research Center for Geriatrics, West China Hospital, Sichuan University, Chengdu 610041, Sichuan, China.
  • Qun Li
    Office of Educational Administration, Naval Medical University, Shanghai, China.
  • Quan Xu
    State Key Laboratory of Stress Cell Biology, School of Life Sciences, Xiamen University, Xiamen, Fujian 361102, P.R. China.
  • Kaitai Liu
    Department of Chemoradiation Oncology, The Affiliated Lihuili Hospital of Ningbo University, 57 Xingning RoadZhejiang Province, Ningbo, China. liukaitai@nbu.edu.cn.

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