A novel mitochondrial quality regulation gene signature for anticipating prognosis, TME, and therapeutic response in LUAD by multi-omics analysis and experimental verification

被引：0
|
作者：
Lijun Zeng [1 ]
Sixuan Wu [1 ]
Zhimin Li [1 ]
Yuanbin Tang [1 ]
Yeru Tan [1 ]
Renji Liang [2 ]
Yuehua Li [1 ]
机构：
[1] University of South China,Department of Oncology, the First Affiliated Hospital, Hengyang Medical School
[2] University of South China,Department of Thoracic Surgery, the First Affiliated Hospital, Hengyang Medical School
来源：
Cancer Cell International | / 25卷 / 1期
关键词：
Mitochondrial quality regulation genes; LUAD; Tumor microenvironment; Overall survival; Tumor mutation burden; Prognosis;
D O I：
10.1186/s12935-025-03764-4
中图分类号：
学科分类号：
摘要：
引用
收藏
相关论文
共 27 条
  • [21] Integrated Multi-Omics Data Analysis Identifies a Novel Genetics-Risk Gene of IRF4 Associated with Prognosis of Oral Cavity Cancer
    Lv, Yan
    Xu, Xuejun
    Wang, Zhiwei
    Huang, Yukuan
    Ma, Yunlong
    Wu, Mengjie
    CURRENT BIOINFORMATICS, 2022, 17 (08) : 744 - 758
  • [22] Multi-omics analysis-based clinical and functional significance of a novel prognostic and immunotherapeutic gene signature derived from amino acid metabolism pathways in lung adenocarcinoma
    Xiang, Huihui
    Kasajima, Rika
    Azuma, Koichi
    Tagami, Tomoyuki
    Hagiwara, Asami
    Nakahara, Yoshiro
    Saito, Haruhiro
    Igarashi, Yuka
    Wei, Feifei
    Ban, Tatsuma
    Yoshihara, Mitsuyo
    Nakamura, Yoshiyasu
    Sato, Shinya
    Koizume, Shiro
    Tamura, Tomohiko
    Sasada, Tetsuro
    Miyagi, Yohei
    FRONTIERS IN IMMUNOLOGY, 2024, 15
  • [23] Utilizing multi-omics analysis, a new signature has been identified and validated for predicting prognosis and response to immunotherapy in lung squamous cell carcinoma, which is based on tumor mutation burden
    Dongguang Wang
    Yan Wang
    Yiqun Peng
    Liang Peng
    Discover Oncology, 16 (1)
  • [24] Special issue "The advance of solid tumor research in China": Multi-omics analysis based on 1311 clear cell renal cell carcinoma samples identifies a glycolysis signature associated with prognosis and treatment response
    Tian, Xi
    Wang, Yue
    Xu, Wenhao
    Tang, Haidan
    Zhu, Shuxuan
    Anwaier, Aihetaimujiang
    Liu, Wangrui
    Wang, Wenfeng
    Zhu, Wenkai
    Su, Jiaqi
    Qu, Yuanyuan
    Zhang, Hailiang
    Ye, Dingwei
    INTERNATIONAL JOURNAL OF CANCER, 2023, 152 (01) : 66 - 78
  • [25] Multi-Omics Pan-Cancer Analysis of Procollagen N-Propeptidase Gene Family of ADAMTS as Novel Biomarkers to Associate with Prognosis, Tumor Immune Microenvironment, Signaling Pathways, and Drug Sensitivities
    Chen, Yuxing
    Xiao, Chaoyu
    Fan, Qingxin
    Zhang, Ye
    Huang, Qiu
    Ou, Yunsheng
    FRONTIERS IN BIOSCIENCE-LANDMARK, 2024, 29 (04):
  • [26] Single-cell and bulk RNA-sequence identified fibroblasts signature and CD8+T-cell - fibroblast subtype predicting prognosis and immune therapeutic response of bladder cancer, based on machine learning: bioinformatics multi-omics study
    Li, Jingxian
    Kong, Zheng
    Qi, Yuanjiong
    Wang, Wei
    Su, Qiang
    Huang, Wei
    Zhang, Zhihong
    Li, Shuai
    Du, E.
    INTERNATIONAL JOURNAL OF SURGERY, 2024, 110 (08) : 4911 - 4931
  • [27] Establishment and Verification of a Novel Gene Signature Connecting Hypoxia and Lactylation for Predicting Prognosis and Immunotherapy of Pancreatic Ductal Adenocarcinoma Patients by Integrating Multi-Machine Learning and Single-Cell Analysis
    Zheng, Ying
    Yang, Yang
    Xiong, Qunli
    Ma, Yifei
    Zhu, Qing
    INTERNATIONAL JOURNAL OF MOLECULAR SCIENCES, 2024, 25 (20)
123