Predictive value of circulating lymphocyte subsets and inflammatory indexes for neoadjuvant chemoradiotherapy response in rectal mucinous adenocarcinoma patients: A machine learning approach.

Journal: Cancer medicine
PMID:

Abstract

INTRODUCTION: In this study, we aimed to evaluate the predictive value of circulating lymphocyte subsets and inflammatory indexes in response to neoadjuvant chemoradiotherapy (NCRT) in patients with rectal mucinous adenocarcinomas (MACs).

Authors

  • Yu Lin
    Research School of Computer Science, Australian National University, Canberra, 2601, ACT, Australia.
  • Yanwu Sun
    Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, People's Republic of China.
  • Weizhong Jiang
    Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, People's Republic of China.
  • Yu Deng
    National Engineering Research Center for Cereal Fermentation and Food Biomanufacturing, Jiangnan University, 1800 Lihu Road, Wuxi, Jiangsu 214122, People's Republic of China.
  • Ying Huang
    Department of Otolaryngology, Head and Neck Surgery, Affiliated Hospital of Southwest Medical University Luzhou, Sichuan, China.
  • Pan Chi
    Department of Colorectal Surgery, Fujian Medical University Union Hospital, Fuzhou, Fujian, People's Republic of China.