PANoptosis-Related Optimal Model (PROM): A Novel Prognostic Tool Unveiling Immune Dynamics in Lung Adenocarcinoma

被引:0
|
作者
Peng, Jianming [1 ]
Tong, Leijie [2 ]
Liang, Rui [3 ]
Yan, Huisen [1 ]
Jiang, Xiuling [1 ]
Dai, Youai [4 ]
机构
[1] Yangzhou Polytech Coll, Sch Med, Yangzhou, Peoples R China
[2] China Med Univ, Dept Immunol, Shenyang, Peoples R China
[3] Suzhou Vocat Hlth Coll, Sch Clin Med, Suzhou, Peoples R China
[4] Nanjing Med Univ, Wuxi Peoples Hosp, Lab Organ Transplantat Res Inst, Wuxi, Peoples R China
关键词
LUAD; PANoptosis; prognostic signature; single-cell genomics; tumor immune microenvironment;
D O I
10.1155/ijog/5595391
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
Background: PANoptosis, a recently characterized inflammatory programmed cell death modality orchestrated by the PANoptosome complex, integrates molecular mechanisms of pyroptosis, apoptosis, and necroptosis. Although this pathway potentially mediates tumor progression, its role in lung adenocarcinoma (LUAD) remains largely unexplored.Methods: Through comprehensive single-cell transcriptomic profiling, we systematically identified critical PANoptosis-associated gene signatures. Prognostic molecular determinants were subsequently delineated via univariate Cox proportional hazards regression analysis. We constructed a PANoptosis-related optimal model (PROM) through the integration of 10 machine learning algorithms. The model was initially developed using The Cancer Genome Atlas (TCGA)-LUAD cohort and subsequently validated across six independent LUAD cohorts. Model performance was evaluated using mean concordance index. Furthermore, we conducted extensive multiomics analyses to delineate differential pathway activation patterns and immune cell infiltration profiles between PROM-stratified risk subgroups.Results: Cellular populations exhibiting elevated PANoptosis signatures demonstrated enhanced intercellular signaling networks. PROM demonstrated superior prognostic capability across multiple validation cohorts. Receiver operating characteristic curve analyses revealed area under the curve values exceeding 0.7 across all seven cohorts, with several achieving values above 0.8, indicating robust discriminative performance. The model score exhibited significant correlation with immunological parameters. Notably, high PROM scores were associated with attenuated immune responses, suggesting an immunosuppressive tumor microenvironment. Multiomics investigations revealed significant alterations in critical oncogenic pathways and immune landscape between PROM-stratified subgroups.Conclusion: This investigation establishes PROM as a clinically applicable prognostic tool for LUAD risk stratification. Beyond its predictive utility, PROM elucidates PANoptosis-associated immunological and biological mechanisms underlying LUAD progression. These findings provide novel mechanistic insights into LUAD pathogenesis and may inform the development of targeted therapeutic interventions and personalized treatment strategies to optimize patient outcomes.
引用
收藏
页数:21
相关论文
共 50 条
  • [21] Construction of a Prognostic Immune-Related LncRNA Risk Model for Lung Adenocarcinoma
    Li, Yue
    Shen, Ruoyi
    Wang, Anqi
    Zhao, Jian
    Zhou, Jieqi
    Zhang, Weijie
    Zhang, Ruochen
    Zhu, Jianjie
    Liu, Zeyi
    Huang, Jian-an
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2021, 9
  • [22] Prognostic value of immune related genes in lung adenocarcinoma
    Wang, Han
    Wang, Meng-Sen
    Wang, Ying
    Huang, Yue-Qing
    Shi, Jian-Ping
    Ding, Zhi-Liang
    Wang, Wen-Jie
    ONCOLOGY LETTERS, 2020, 20 (05)
  • [23] Construction and Validation of a Novel Immune-Related Gene Pairs-Based Prognostic Model in Lung Adenocarcinoma
    Liu, Yafeng
    Zhou, Jiawei
    Wu, Jing
    Zhang, Xin
    Guo, Jianqiang
    Xing, Yingru
    Xie, Jun
    Bai, Ying
    Hu, Dong
    CANCER CONTROL, 2023, 30
  • [24] Novel prognostic signature for lung adenocarcinoma based on immune-related mRNA pairs
    Yue, Jiawei
    Guo, Hui
    Ma, Jinhong
    Shi, Weifeng
    Wu, Yumin
    HELIYON, 2024, 10 (03)
  • [25] Immune-Stromal Score Signature: Novel Prognostic Tool of the Tumor Microenvironment in Lung Adenocarcinoma
    Qi, Xiaoguang
    Qi, Chunyan
    Qin, Boyu
    Kang, Xindan
    Hu, Yi
    Han, Weidong
    FRONTIERS IN ONCOLOGY, 2020, 10
  • [26] A novel prognostic model related to oxidative stress for treatment prediction in lung adenocarcinoma
    Peng, Haijun
    Li, Xiaoqing
    Luan, Yanchao
    Wang, Changjing
    Wang, Wei
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [27] Identification of a novel oxidative stress-related prognostic model in lung adenocarcinoma
    Zhu, Yifan
    Tang, Quanying
    Cao, Weibo
    Zhou, Ning
    Jin, Xin
    Song, Zuoqing
    Zu, Lingling
    Xu, Song
    FRONTIERS IN PHARMACOLOGY, 2022, 13
  • [28] Multidimensional Analysis of PANoptosis-Related Molecule CASP8: Prognostic Significance, Immune Microenvironment Effect, and Therapeutic Implications in Hepatocellular Carcinoma
    Peng, Fei
    Zhu, Fang
    Cao, Baodi
    Peng, Liang
    GENETICS RESEARCH, 2023, 2023 : 2406193
  • [29] A disulfidptosis-related glucose metabolism and immune response prognostic model revealing the immune microenvironment in lung adenocarcinoma
    Zhang, Kai
    Li, Gang
    Wang, Qin
    Liu, Xin
    Chen, Hong
    Li, Fuqiang
    Li, Shuangyan
    Song, Xinmao
    Li, Yi
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [30] Development of a prognostic model for lung adenocarcinoma polarity-related genes and analysis of immune landscape
    Xu, Hongqiu
    Du, Wenqiang
    Jing, Xuelong
    Xie, Jingen
    Li, Pengfei
    BIOTECHNOLOGY AND APPLIED BIOCHEMISTRY, 2024, 71 (04) : 817 - 834