Based on the prognosis model of immunogenes, the prognosis model was constructed to predict the invasion of immune genes and immune cells related to primary liver cancer and its experimental validation

被引:0
|
作者
Yang, Yu -Ping [1 ]
Bai, Min [1 ]
Cheng, Yin-Xia [2 ]
Feng, Xin [1 ]
Zhang, Yan-Ying [1 ]
Zhang, Yuan -Yuan [1 ]
Liu, Meng-Ya [1 ]
Duan, Yong-Qiang [2 ]
机构
[1] Gansu Univ Tradit Chinese Med, Coll Basic Med Sci, Lanzhou 730000, Peoples R China
[2] Ningxia Med Univ, Coll Tradit Chinese Med, Yinchuan 750000, Peoples R China
关键词
Primary liver cancer; Immune-related gene pair; Immune-related gene; Immune cell; Experimental validation; HEPATOCELLULAR-CARCINOMA; EXPRESSION; CTLA-4;
D O I
10.1016/j.heliyon.2024.e27362
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Background: Primary liver cancer (PLC) is a prevalent malignancy of the digestive system characterized by insidious symptom onset and a generally poor prognosis. Recent studies have highlighted a significant correlation between the initiation and prognosis of liver cancer and the immune function of PLC patients. Purpose: Revealing the expression of PLC -related immune genes and the characteristics of immune cell infiltration provides assistance for the analysis of clinical pathological parameters and prognosis of PLC patients. Methods: PLC -related differentially expressed genes (DEGs) with a median absolute deviation (MAD > 0.5) were identified from TCGA and GEO databases. These DEGs were intersected with immune -related genes (IRGs) from the ImmPort database to obtain PLC -related IRGs. The method of constructing a prognostic model through immune -related gene pairs (IRGPs) is used to obtain IRGPs and conduct the selection of central immune genes. The central immune genes obtained from the selection of IRGPs are validated in PLC. Subsequently, the relative proportions of 22 types of immune cells in different immune risk groups are evaluated, and the differential characteristics of PLC -related immune cells are verified through animal experiments. Results: Through database screening and the construction of an IRGP prognosis model, 84 pairs of IRGPs ( P < 0.001) were ultimately obtained. Analysis of these 84 IRGPs revealed 11 central immune genes related to PLC, showing differential expression in liver cancer tissues compared to normal liver tissues. Results from the CiberSort platform indicate differential expression of immune cells such as naive B cells, macrophages, and neutrophils in different immune risk groups. Animal experiments demonstrated altered immune cell proportions in H22 tumor -bearing mice, validating findings from peripheral blood and spleen homogenate analyses. Conclusion: Our study successfully predicted and validated PLC -related IRGs and immune cells, suggesting their potential as prognostic indicators and therapeutic targets for PLC.
引用
收藏
页数:19
相关论文
共 50 条
  • [1] The expression, immune infiltration, prognosis, and experimental validation of OSBPL family genes in liver cancer
    Kunpeng Tian
    Yongling Ying
    Jingjing Huang
    Hao Wu
    Chengyue Wei
    Liang Li
    Longjun Chen
    Lichuan Wu
    BMC Cancer, 23
  • [2] The expression, immune infiltration, prognosis, and experimental validation of OSBPL family genes in liver cancer
    Tian, Kunpeng
    Ying, Yongling
    Huang, Jingjing
    Wu, Hao
    Wei, Chengyue
    Li, Liang
    Chen, Longjun
    Wu, Lichuan
    BMC CANCER, 2023, 23 (01)
  • [3] A Risk Model Based on Immune-Related Genes Predicts Prognosis and Characterizes the Immune Landscape in Esophageal Cancer
    Xie, Yan
    Fu, Ruimin
    Xiao, Zheng
    Li, Gang
    PATHOLOGY & ONCOLOGY RESEARCH, 2022, 28
  • [4] Development and validation of a model based on immunogenic cell death related genes to predict the prognosis and immune response to bladder urothelial carcinoma
    Chen, Lizhu
    Lin, Jiexiang
    Wen, Yaoming
    Chen, Yu
    Chen, Chuan-ben
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [5] Prediction of liver cancer prognosis based on immune cell marker genes
    Liu, Jianfei
    Qu, Junjie
    Xu, Lingling
    Qiao, Chen
    Shao, Guiwen
    Liu, Xin
    He, Hui
    Zhang, Jian
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [6] Tumor Immune Microenvironment Related Gene-Based Model to Predict Prognosis and Response to Compounds in Ovarian Cancer
    Yang, Jiang
    Hong, Shasha
    Zhang, Xiaoyi
    Liu, Jingchun
    Wang, Ying
    Wang, Zhi
    Gao, Likun
    Hong, Li
    FRONTIERS IN ONCOLOGY, 2021, 11
  • [7] Construction of a prognostic risk model based on apoptosis-related genes to assess tumor immune microenvironment and predict prognosis in hepatocellular carcinoma
    Wang, Xiqin
    Ji, Chenguang
    BMC GASTROENTEROLOGY, 2022, 22 (01)
  • [8] Identification of a Novel Model for Predicting the Prognosis and Immune Response Based on Genes Related to Cuproptosis and Ferroptosis in Ovarian Cancer
    Li, Ying
    Fang, Tian
    Shan, Wanying
    Gao, Qinglei
    CANCERS, 2023, 15 (03)
  • [9] Construction and validation of a risk model based on the key SNARE proteins to predict the prognosis and immune microenvironment of gliomas
    Yin, Luxin
    Xu, Yiqiang
    Yin, Jiale
    Cheng, Hai
    Xiao, Weihan
    Wu, Yue
    Ji, Daofei
    Gao, Shangfeng
    FRONTIERS IN MOLECULAR NEUROSCIENCE, 2023, 16
  • [10] 29 immune-related genes pairs signature predict the prognosis of cervical cancer patients
    Nie, Han
    Bu, Fanqin
    Xu, Jiasheng
    Li, Taoshen
    Huang, Jun
    SCIENTIFIC REPORTS, 2020, 10 (01)