Prognostic value of antitumor drug targets prediction using integrated bioinformatic analysis for immunogenic cell death-related lncRNA model based on stomach adenocarcinoma characteristics and tumor immune microenvironment

被引:6
|
作者
Ding, Dayong [1 ]
Zhao, Yan [2 ]
Su, Yanzhuo [1 ]
Yang, Huaixi [1 ]
Wang, Xuefeng [1 ]
Chen, Lin [1 ]
机构
[1] Jilin Univ, Dept Gastrointestinal & Colorectal Surg, China Japan Union Hosp, Changchun, Jilin, Peoples R China
[2] Jilin Univ, Dept Operating Room, China Japan Union Hosp, Changchun, Jilin, Peoples R China
关键词
stomach adenocarcinoma; ICD; lncRNA; prognostic; TCGA; tumor-infiltrating immune cells; GASTRIC-CANCER; KINASE INHIBITOR; T-CELLS; PROLIFERATION; IMMUNOTHERAPY; COMBINATION; METASTASIS;
D O I
10.3389/fphar.2022.1022294
中图分类号
R9 [药学];
学科分类号
1007 ;
摘要
Stomach adenocarcinoma (STAD) ranks as the fourth prevalent cause of mortality worldwide due to cancer. The prognosis for those suffering from STAD was bleak. Immunogenic cell death (ICD), a form of induced cellular death that causes an adaptive immune response and has increasing in anticancer treatment. However, it has not been ascertained how ICD-related lncRNAs affect STAD. Using univariate Cox regression and the TCGA database, lncRNAs with prognostic value were identified. Thereafter, we created a prognostic lncRNA-based model using LASSO. Kaplan-Meier assessment, time-dependent receiver operating characteristic (ROC) analyzation, independent prognostic investigation, and nomogram were used to assess model correctness. Additional research included evaluations of the immunological microenvironment, gene set enrichment analyses (GSEA), tumor mutation burdens (TMBs), tumor immune dysfunctions and exclusions (TIDEs), and antitumor compounds IC50 predictions. We found 24 ICD-related lncRNAs with prognostic value via univariate Cox analysis (p < 0.05). Subsequently, a risk model was proposed using five lncRNAs relevant to ICD. The risk signature, correlated with immune cell infiltration, had strong predictive performance. Individuals at low-risk group outlived those at high risk (p < 0.001). An evaluation of the 5-lncRNA risk mode including ROC curves, nomograms, and correction curves confirmed its predictive capability. The findings of functional tests revealed a substantial alteration in immunological conditions and the IC50 sensitivity for the two groups. Using five ICD-related lncRNAs, the authors developed a new risk model for STAD patients that could predict their cumulative overall survival rate and guide their individual treatment.
引用
收藏
页数:15
相关论文
共 20 条
  • [1] Development and validation of an immunogenic cell death-related prognostic model, and landscape of the tumor immune microenvironment in glioblastoma
    Yang, Sha
    Deng, Mei
    Xiong, Yunbiao
    Xiong, Bing
    Fu, Junwu
    Wang, Jia
    Zhang, Jiqin
    Han, Guoqiang
    Liu, Jian
    Tan, Ying
    GENES & DISEASES, 2024, 11 (03)
  • [2] An immunogenic cell death-related lncRNA signature correlates with prognosis and tumor immune microenvironment in bladder cancer
    Luo, Jinhong
    Luo, Feiye
    Li, Qin
    Liu, Qinghong
    Wang, Jinshan
    SCIENTIFIC REPORTS, 2024, 14 (01):
  • [3] Establishment of an immunogenic cell death-related model for prognostic prediction and identification of therapeutic targets in endometrial carcinoma
    Liu, Zhenran
    Huang, Yue
    Zhang, Pin
    Yang, Chen
    Wang, Yujie
    Yu, Yaru
    Xiang, Huifen
    AGING-US, 2024, 16 (05): : 4920 - 4942
  • [4] Molecular subtypes and a prognostic model for hepatocellular carcinoma based on immune- and immunogenic cell death-related lncRNAs
    He, Mingang
    Gu, Wenchao
    Gao, Yang
    Liu, Ying
    Liu, Jie
    Li, Zengjun
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [5] Identification of molecular subtypes and prognostic model to reveal immune infiltration and predict prognosis based on immunogenic cell death-related genes in lung adenocarcinoma
    Dong, Yinying
    Yu, Xiao
    Song, Hao
    Chen, Qingfeng
    Zheng, Bin
    Ji, Xiaomeng
    Xu, Mingjin
    Liu, Jian
    Sun, Xiangyin
    Wang, Qiuxiao
    Ren, Ruimei
    Lu, Haijun
    CELL CYCLE, 2023, 22 (23-24) : 2566 - 2583
  • [6] Prognostic Value of Drug Targets Predicted Using Deep Bioinformatic Analysis of m6A-Associated lncRNA-Based Pancreatic Cancer Model Characteristics and Its Tumour Microenvironment
    Cao, Peng-Wei
    Liu, Lei
    Li, Zi-Han
    Cao, Feng
    Liu, Fu-Bao
    FRONTIERS IN GENETICS, 2022, 13
  • [7] The necroptosis-related signature and tumor microenvironment immune characteristics associated with clinical prognosis and drug sensitivity analysis in stomach adenocarcinoma
    Yang, Biao
    Wang, Yingnan
    Liu, Tao
    Zhang, Meijing
    Luo, Tianhang
    AGING-US, 2024, 16 (07): : 6098 - 6117
  • [8] Bioinformatics Analysis Based on Iron Death-Related LncRNAs: Construction of a Clinical Prognostic Model for Lung Adenocarcinoma and Correlation Analysis of Immune Infiltration
    Liu, Shaoyong
    Zhai, Changming
    Jiang, Qiuyue
    Wang, Wei
    You, Lu
    JOURNAL OF BIOMEDICAL NANOTECHNOLOGY, 2023, 19 (02) : 299 - 308
  • [9] Prognostic risk assessment model and drug sensitivity analysis of colon adenocarcinoma (COAD) based on immune-related lncRNA pairs
    Hao, Zezhou
    Liang, Pengchen
    He, Changyu
    Sha, Shuang
    Yang, Ziyuan
    Liu, Yixin
    Shi, Junfeng
    Zhu, Zhenggang
    Chang, Qing
    BMC BIOINFORMATICS, 2022, 23 (01)
  • [10] Prognostic risk assessment model and drug sensitivity analysis of colon adenocarcinoma (COAD) based on immune-related lncRNA pairs
    Zezhou Hao
    Pengchen Liang
    Changyu He
    Shuang Sha
    Ziyuan Yang
    Yixin Liu
    Junfeng Shi
    Zhenggang Zhu
    Qing Chang
    BMC Bioinformatics, 23