Centrosome amplification-related signature correlated with immune microenvironment and treatment response predicts prognosis and improves diagnosis of hepatocellular carcinoma by integrating machine learning and single-cell analyses

被引:0
|
作者
Yanli Liu
Min He
Xinrong Ke
Yuting Chen
Jie Zhu
Ziqing Tan
Jingqi Chen
机构
[1] The Second Affiliated Hospital,Guangzhou Key Laboratory for Research and Development of Nano
[2] Guangzhou Medical University,Biomedical Technology for Diagnosis and Therapy & Guangdong Provincial Education Department Key Laboratory of Nano
[3] Guangzhou Medical University,Immunoregulation Tumour Microenvironment, Department of Oncology & Translational Medicine Center
[4] The Second Affiliated Hospital,State Key Laboratory of Respiratory Disease, The Second Clinical Medical School
[5] Guangzhou Medical University,Central Laboratory
来源
Hepatology International | 2024年 / 18卷
关键词
Hepatocellular carcinoma; Centrosome amplification; Prognosis; Diagnosis; Tumor microenvironment; TP53; Immune checkpoint; Drug sensitivity; Cell cycle; Liver cancer stem cell;
D O I
暂无
中图分类号
学科分类号
摘要
引用
收藏
页码:108 / 130
页数:22
相关论文
共 28 条
  • [1] Centrosome amplification-related signature correlated with immune microenvironment and treatment response predicts prognosis and improves diagnosis of hepatocellular carcinoma by integrating machine learning and single-cell analyses
    Liu, Yanli
    He, Min
    Ke, Xinrong
    Chen, Yuting
    Zhu, Jie
    Tan, Ziqing
    Chen, Jingqi
    HEPATOLOGY INTERNATIONAL, 2023, 18 (1) : 108 - 130
  • [2] Metastasis and basement membrane-related signature enhances hepatocellular carcinoma prognosis and diagnosis by integrating single-cell RNA sequencing analysis and immune microenvironment assessment
    Wei, Shijia
    Tan, Jingyi
    Huang, Xueshan
    Zhuang, Kai
    Qiu, Weijian
    Chen, Mei
    Ye, Xiaoxia
    Wu, Minhua
    JOURNAL OF TRANSLATIONAL MEDICINE, 2024, 22 (01)
  • [3] Immune cell related signature predicts prognosis in esophageal squamous cell carcinoma based on single-cell and bulk-RNA sequencing
    Wang, Xian
    Peng, Wei
    Zhao, Yali
    Sha, Jiming
    Li, Na
    Huang, Shan
    Wang, Hua
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [4] Single-cell and machine learning approaches uncover intrinsic immune-evasion genes in the prognosis of hepatocellular carcinoma
    Wang, Jiani
    Chen, Xiaopeng
    Wu, Donghao
    Jia, Changchang
    Lian, Qinghai
    Pan, Yuhang
    Yang, Jiumei
    LIVER RESEARCH, 2024, 8 (04) : 282 - 294
  • [5] Machine learning-based disulfidptosis-related lncRNA signature predicts prognosis, immune infiltration and drug sensitivity in hepatocellular carcinoma
    Pu, Lei
    Sun, Yan
    Pu, Cheng
    Zhang, Xiaoyan
    Wang, Dong
    Liu, Xingning
    Guo, Pin
    Wang, Bing
    Xue, Liang
    Sun, Peng
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [6] Integrating anoikis and ErbB signaling insights with machine learning and single-cell analysis for predicting prognosis and immune-targeted therapy outcomes in hepatocellular carcinoma
    Fang, Huipeng
    Chen, Xingte
    Zhong, Yaqi
    Wu, Shiji
    Ke, Qiao
    Huang, Qizhen
    Wang, Lei
    Zhang, Kun
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [7] Cell Cycle-Related LncRNA-Based Prognostic Model for Hepatocellular Carcinoma: Integrating Immune Microenvironment and Treatment Response
    Chen, Lin
    Wu, Guo-zhi
    Wu, Tao
    Shang, Hao-hu
    Wang, Wei-juan
    Fisher, David
    Hiens, Nguyen Thi Thu
    Musabaev, Erkin
    Zhao, Lei
    CURRENT MEDICAL SCIENCE, 2024, 44 (06) : 1217 - 1231
  • [8] Unveiling efferocytosis-related signatures through the integration of single-cell analysis and machine learning: a predictive framework for prognosis and immunotherapy response in hepatocellular carcinoma
    Liu, Tao
    Li, Chao
    Zhang, Jiantao
    Hu, Han
    Li, Chenyao
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [9] Integrating TCGA and Single-Cell Sequencing Data for Hepatocellular Carcinoma: A Novel Glycosylation (GLY)/Tumor Microenvironment (TME) Classifier to Predict Prognosis and Immunotherapy Response
    Wu, Yun
    Chen, Jiaru
    Zhu, Riting
    Huang, Guoliang
    Zeng, Jincheng
    Yu, Hongbing
    He, Zhiwei
    Han, Cuifang
    METABOLITES, 2024, 14 (01)
  • [10] Integrated immunogenomic analyses of single-cell and bulk profiling construct a T cell-related signature for predicting prognosis and treatment response in osteosarcoma
    Niu, Chicheng
    Wang, Weiwei
    Xu, Qingyuan
    Tian, Zhao
    Li, Hao
    Ding, Qiang
    Guo, Liang
    Zeng, Ping
    DISCOVER ONCOLOGY, 2024, 15 (01)