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

被引:0
|
作者
Liu, Fang [1 ]
Mei, Baohua [1 ]
Xu, Jianfeng [1 ]
Zou, Yong [1 ]
Luo, Gang [1 ]
Liu, Haiyu [2 ]
机构
[1] Jiujiang First Peoples Hosp, Dept Hepatobiliary Surg, 48 Taling South Rd, Jiujiang 332000, Jiangxi, Peoples R China
[2] Jiangxi Univ Chinese Med, Coll Chinese Med, Nanchang 330004, Jiangxi, Peoples R China
关键词
Hepatocellular carcinoma; Single-cell RNA sequencing; NK cells; Immune phenotype; Machine learning; CANCER;
D O I
10.1007/s13258-024-01581-z
中图分类号
Q5 [生物化学]; Q7 [分子生物学];
学科分类号
071010 ; 081704 ;
摘要
BackgroundHepatocellular 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. ObjectiveThe main objective of this study is to identify molecular markers with NK cell immune characteristics in hepatocellular carcinoma using various machine learning methods based on Single-Cell Sequencing and Bulk RNA Sequencing. MethodsWe collected samples from eight normal liver tissues and eight HCC tumor tissues and performed single-cell RNA sequencing for immune cell clustering and expression profile analysis. Using various bioinformatic approaches, we investigated the immune phenotype associated with natural killer (NK) cells expressing high CD7 level. In addition, we verified the role of CD7 in the growth of HCC after NK cell and HCC cells cocultured by RT-qPCR, MTS and Flow cytometer experiments. Finally, we constructed a machine learning model to develop a prognostic prediction system for HCC based on NK cell-related genes. ResultsThrough single-cell typing, we found that the proportions of hepatocytes and NK cells were significantly elevated in the tumor samples. Moreover, we found that the expression of CD7 was high in HCC and correlated with prognosis. More importantly, Overexpression of CD7 in NK cells significantly inhibited the activity of MHCC97 cells and increased the number of apoptosis of HCC cells (p < 0.05). Furthermore, we observed that NK cells with high CD7 expression were associated with an activated immune phenotype. ConclusionOur study found that CD7 is an important biomarker for assessing immune status and predicting survival of HCC patients; hence, it is a potential target for immune therapy against HCC.
引用
收藏
页码:19 / 35
页数:17
相关论文
共 50 条
  • [1] A Novel Prognostic Signature of comprising Nine NK Cell signatures Based on Both Bulk RNA Sequencing and Single-Cell RNA Sequencing for Hepatocellular Carcinoma
    Yu, Qi
    Shi, Xuefeng
    Wang, Hongjian
    Zhang, Shun
    Hu, Songnian
    Cai, Ting
    JOURNAL OF CANCER, 2023, 14 (12): : 2209 - 2223
  • [2] Identification of immune subtypes of melanoma based on single-cell and bulk RNA sequencing data
    Guo, Linqian
    Meng, Qingrong
    Lin, Wenqi
    Weng, Kaiyuan
    MATHEMATICAL BIOSCIENCES AND ENGINEERING, 2023, 20 (02) : 2920 - 2936
  • [3] Identification of a novel histone phosphorylation prognostic signature in hepatocellular carcinoma based on bulk and single-cell RNA sequencing
    Fan, Lei
    Xu, Ling
    Tian, Shan
    Zheng, Xin
    FRONTIERS IN ENDOCRINOLOGY, 2022, 13
  • [4] Combining bulk and single-cell RNA-sequencing data to develop an NK cell-related prognostic signature for hepatocellular carcinoma based on an integrated machine learning framework
    Feng, Qian
    Huang, Zhihao
    Song, Lei
    Wang, Le
    Lu, Hongcheng
    Wu, Linquan
    EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2023, 28 (01)
  • [5] Combining bulk and single-cell RNA-sequencing data to develop an NK cell-related prognostic signature for hepatocellular carcinoma based on an integrated machine learning framework
    Qian Feng
    Zhihao Huang
    Lei Song
    Le Wang
    Hongcheng Lu
    Linquan Wu
    European Journal of Medical Research, 28
  • [6] Integrating bulk and single-cell RNA sequencing reveals cellular heterogeneity and immune infiltration in hepatocellular carcinoma
    Wang, Tingjie
    Dang, Ningxin
    Tang, Guangbo
    Li, Zihang
    Li, Xiujuan
    Shi, Bingyin
    Xu, Zhong
    Li, Lei
    Yang, Xiaofei
    Xu, Chuanrui
    Ye, Kai
    MOLECULAR ONCOLOGY, 2022, 16 (11) : 2195 - 2213
  • [7] Identification of the immune-associated characteristics and predictive biomarkers of keratoconus based on single-cell RNA-sequencing and bulk RNA-sequencing
    Niu, Xiaoguang
    Xu, Man
    Zhu, Jian
    Zhang, Shaowei
    Yang, Yanning
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [8] Peripheral immune cell death in sepsis based on bulk RNA and single-cell RNA sequencing
    Liu, Shanshou
    Duan, Chujun
    Xie, Jiangang
    Zhang, Jinxin
    Luo, Xu
    Wang, Qianmei
    Liang, Xiaoli
    Zhao, Xiaojun
    Zhuang, Ran
    Zhao, Wei
    Yin, Wen
    HELIYON, 2023, 9 (07)
  • [9] Identification of biomarkers for hepatocellular carcinoma based on single cell sequencing and machine learning algorithms
    Li, Weimin
    Liu, Jixing
    Zhu, Wenjuan
    Jin, Xiaoxin
    Yang, Zhi
    Gao, Wenzhe
    Sun, Jichun
    Zhu, Hongwei
    FRONTIERS IN GENETICS, 2022, 13
  • [10] Uncovering immune cell heterogeneity in hepatocellular carcinoma by combining single-cell RNA sequencing with T-cell receptor sequencing
    Gu, Xin-Yu
    Gu, Shuang-Lin
    Chen, Zi-Yi
    Tong, Jin-Long
    Li, Xiao-Yue
    Dong, Hui
    Zhang, Cai-Yun
    Qian, Wen-Xian
    Ma, Xiu-Chang
    Yi, Chang-Hua
    Yi, Yong-Xiang
    WORLD JOURNAL OF HEPATOLOGY, 2025, 17 (02)