Machine learning identification of NK cell immune characteristics in hepatocellular carcinoma based on single-cell sequencing and bulk RNA sequencing.

Journal: Genes & genomics
PMID: 39433650

Abstract

BACKGROUND: Hepatocellular carcinoma (HCC) is a highly malignant tumor; however, its immune microenvironment and mechanisms remain elusive. Single-cell sequencing allows for the exploration of immune characteristics within tumor at the cellular level. However, current knowledge regarding the roles of different immune cell populations in liver cancer progression is limited.

Authors

  • Fang Liu
    The First Clinical Medical College of Gannan Medical University, Ganzhou 341000, Jiangxi Province, China.
  • Baohua Mei
    Department of Hepatobiliary Surgery, Jiujiang First People's Hospital, 48 Taling South Road, Jiujiang City, 332000, Jiangxi Province, China.
  • Jianfeng Xu
    Department of Hepatobiliary Surgery, Jiujiang First People's Hospital, 48 Taling South Road, Jiujiang City, 332000, Jiangxi Province, China.
  • Yong Zou
    School of Physics and Electronic Science, East China Normal University, Shanghai 200241, China.
  • Gang Luo
    Department of Biomedical Informatics and Medical Education, University of Washington UW Medicine South Lake Union, 850 Republican Street, Building C, Box 358047 Seattle, WA 98195, USA, luogang@uw.edu.
  • Haiyu Liu
    College of Chinese Medicine, Jiangxi University of Chinese Medicine, Nanchang, 330004, Jiangxi, China.

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