Establishment of a Gene Signature to Predict Prognosis for Patients with Lung Adenocarcinoma

被引:21
|
作者
Li, Zhaodong [1 ]
Qi, Fangyuan [1 ]
Li, Fan [1 ,2 ,3 ,4 ,5 ]
机构
[1] Jilin Univ, Coll Basic Med, Dept Pathogenobiol, Key Lab Zoonosis, Changchun 130021, Peoples R China
[2] Jilin Univ, Key Lab Bion Engn, Changchun 130021, Peoples R China
[3] Jilin Univ, Engn Res Ctr Med Biomat Jilin Prov, Changchun 130021, Peoples R China
[4] Jilin Univ, Key Lab Biomed Mat Jilin Prov, Changchun 130021, Peoples R China
[5] State Key Lab Pathogenesis Prevent & Treatment Hi, Urumqi 830000, Peoples R China
关键词
lung adenocarcinoma; gene signature; overall survival; prognosis; bioinformatic analysis; IDENTIFICATION; EXPRESSION;
D O I
10.3390/ijms21228479
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
Accumulating evidence indicates that the reliable gene signature may serve as an independent prognosis factor for lung adenocarcinoma (LUAD) diagnosis. Here, we sought to identify a risk score signature for survival prediction of LUAD patients. In the Gene Expression Omnibus (GEO) database, GSE18842, GSE75037, GSE101929, and GSE19188 mRNA expression profiles were downloaded to screen differentially expressed genes (DEGs), which were used to establish a protein-protein interaction network and perform clustering module analysis. Univariate and multivariate proportional hazards regression analyses were applied to develop and validate the gene signature based on the TCGA dataset. The signature genes were then verified on GEPIA, Oncomine, and HPA platforms. Expression levels of corresponding genes were also measured by qRT-PCR and Western blotting in HBE, A549, and PC-9 cell lines. The prognostic signature based on eight genes (TTK, HMMR, ASPM, CDCA8, KIF2C, CCNA2, CCNB2, and MKI67) was established, which was independent of other clinical factors. The risk model offered better discrimination between risk groups, and patients with high-risk scores tended to have poor survival rate at 1-, 3- and 5-year follow-up. The model also presented better survival prediction in cancer-specific cohorts of age, gender, clinical stage III/IV, primary tumor 1/2, and lymph node metastasis 1/2. The signature genes, moreover, were highly expressed in A549 and PC-9 cells. In conclusion, the risk score signature could be used for prognostic estimation and as an independent risk factor for survival prediction in patients with LUAD.
引用
收藏
页码:1 / 20
页数:20
相关论文
共 50 条
  • [1] Establishment of Immune-related Gene Pair Signature to Predict Lung Adenocarcinoma Prognosis
    Jiang, Xueping
    Gao, Yanping
    Zhang, Nannan
    Yuan, Cheng
    Luo, Yuan
    Sun, Wenjie
    Zhang, Jianguo
    Ren, Jiangbo
    Gong, Yan
    Xie, Conghua
    CELL TRANSPLANTATION, 2020, 29
  • [2] Establishment of a ferroptosis-related gene signature for prognosis in lung adenocarcinoma patients
    Cai, Jingjing
    Li, Chunyan
    Li, Hongsheng
    Wang, Xiaoxiong
    Zhou, Yongchun
    PEERJ, 2021, 9
  • [3] An immune gene signature to predict prognosis and immunotherapeutic response in lung adenocarcinoma
    Hongquan Chen
    Renxi Lin
    Weibin Lin
    Qing Chen
    Dongjie Ye
    Jing Li
    Jinan Feng
    Wenxiu Cheng
    Mingfang Zhang
    Yuanlin Qi
    Scientific Reports, 12
  • [4] An immune gene signature to predict prognosis and immunotherapeutic response in lung adenocarcinoma
    Chen, Hongquan
    Lin, Renxi
    Lin, Weibin
    Chen, Qing
    Ye, Dongjie
    Li, Jing
    Feng, Jinan
    Cheng, Wenxiu
    Zhang, Mingfang
    Qi, Yuanlin
    SCIENTIFIC REPORTS, 2022, 12 (01)
  • [5] Identification of cuproptosis-related gene signature to predict prognosis in lung adenocarcinoma
    Lv, Yanju
    Xiao, Yajie
    Cui, Xiaoli
    Luo, Haitao
    Xu, Long
    FRONTIERS IN GENETICS, 2022, 13
  • [6] Identification of novel gene signature for lung adenocarcinoma by machine learning to predict immunotherapy and prognosis
    Shu, Jianfeng
    Jiang, Jinni
    Zhao, Guofang
    FRONTIERS IN IMMUNOLOGY, 2023, 14
  • [7] Establishment and Validation of a Ferroptosis-Related Gene Signature to Predict Overall Survival in Lung Adenocarcinoma
    Wang, Su
    Xie, Zhen
    Wu, Zenghong
    FRONTIERS IN GENETICS, 2022, 12
  • [8] A novel lactylation-related gene signature to predict prognosis and treatment response in lung adenocarcinoma
    Zhang, Hongyi
    Liu, Yihao
    Li, Xuanguang
    Ding, Chen
    Xia, Chunqiu
    Huang, Hua
    Liu, Hongyu
    Chen, Jun
    FRONTIERS IN ONCOLOGY, 2025, 15
  • [9] Gene expression signature of DNA damage response to predict the prognosis of early stage lung adenocarcinoma
    Wang, Z.
    Xu, C.
    Zhao, J.
    Zhao, X.
    Cai, S.
    Song, Y.
    Wang, J.
    ANNALS OF ONCOLOGY, 2018, 29
  • [10] A Ubiquitin-Proteasome Gene Signature for Predicting Prognosis in Patients With Lung Adenocarcinoma
    Tang, Yunliang
    Guo, Yinhong
    FRONTIERS IN GENETICS, 2022, 13