A novel prognostic signature of immune-related genes for patients with colorectal cancer

被引:42
|
作者
Wang, Jun [1 ]
Yu, Shaojun [2 ]
Chen, Guofeng [1 ]
Kang, Muxing [1 ]
Jin, Xiaoli [1 ]
Huang, Yi [1 ]
Lin, Lele [1 ]
Wu, Dan [1 ]
Wang, Lie [3 ]
Chen, Jian [1 ]
机构
[1] Zhejiang Univ, Affiliated Hosp 2, Dept Surg, Sch Med, 88 Jiefang Rd, Hangzhou 310000, Peoples R China
[2] Zhejiang Univ, Affiliated Hosp 2, Dept Surg Oncol, Sch Med, Hangzhou, Peoples R China
[3] Zhejiang Univ, Sch Med, Bone Marrow Transplantat Ctr, Inst Immunol,Affiliated Hosp 1, Hangzhou, Peoples R China
基金
中国国家自然科学基金;
关键词
bioinformatics; colorectal cancer; immunogenomic landscape; prognostic signature; TCGA; TUMOR MICROENVIRONMENT; LANDSCAPE; INVASION; PROTEIN; ROLES; EMT;
D O I
10.1111/jcmm.15443
中图分类号
Q2 [细胞生物学];
学科分类号
071009 ; 090102 ;
摘要
Colorectal cancer (CRC) is one of the most commonly diagnosed cancers with an estimated 1.8 million new cases worldwide and associated with high mortality rates of 881 000 CRC-related deaths in 2018. Screening programs and new therapies have only marginally improved the survival of CRC patients. Immune-related genes (IRGs) have attracted attention in recent years as therapeutic targets. The aim of this study was to identify an immune-related prognostic signature for CRC. To this end, we combined gene expression and clinical data from the CRC data sets of The Cancer Genome Atlas (TCGA) into an integrated immune landscape profile. We identified a total of 476 IRGs that were differentially expressed in CRC vs normal tissues, of which 18 were survival related according to univariate Cox analysis. Stepwise multivariate Cox proportional hazards analysis established an immune-related prognostic signature consisting ofSLC10A2,FGF2,CCL28,NDRG1,ESM1,UCN,UTS2andTRDC. The predictive ability of this signature for 3- and 5-year overall survival was determined using receiver operating characteristics (ROC), and the respective areas under the curve (AUC) were 79.2% and 76.6%. The signature showed moderate predictive accuracy in the validation and GSE38832 data sets as well. Furthermore, the 8-IRG signature correlated significantly with tumour stage, invasion, lymph node metastasis and distant metastasis by univariate Cox analysis, and was established an independent prognostic factor by multivariate Cox regression analysis for CRC. Gene set enrichment analysis (GSEA) revealed a relationship between the IRG prognostic signature and various biological pathways. Focal adhesions and ECM-receptor interactions were positively correlated with the risk scores, while cytosolic DNA sensing and metabolism-related pathways were negatively correlated. Finally, the bioinformatics results were validated by real-time RT-qPCR. In conclusion, we identified and validated a novel, immune-related prognostic signature for patients with CRC, and this signature reflects the dysregulated tumour immune microenvironment and has a potential for better CRC patient management.
引用
下载
收藏
页码:8491 / 8504
页数:14
相关论文
共 50 条
  • [1] A novel Anoikis and immune-related genes marked prognostic signature for colorectal cancer
    Cai, Zhiqiang
    Zhou, Fuxiang
    MEDICINE, 2022, 101 (46) : E31127
  • [2] Identification and validation of a prognostic signature based on six immune-related genes for colorectal cancer
    Zheng, Lifeng
    Xu, Ziyu
    Zhang, Wulou
    Lin, Hao
    Zhang, Yepeng
    Zhou, Shu
    Liu, Zonghang
    Gu, Xi
    DISCOVER ONCOLOGY, 2024, 15 (01)
  • [3] Development of a novel immune-related genes prognostic signature for osteosarcoma
    Zuo-long Wu
    Ya-jun Deng
    Guang-zhi Zhang
    En-hui Ren
    Wen-hua Yuan
    Qi-qi Xie
    Scientific Reports, 10
  • [4] Development of a novel immune-related genes prognostic signature for osteosarcoma
    Wu, Zuo-long
    Deng, Ya-jun
    Zhang, Guang-zhi
    Ren, En-hui
    Yuan, Wen-hua
    Xie, Qi-qi
    SCIENTIFIC REPORTS, 2020, 10 (01)
  • [5] Prognostic implication of novel immune-related signature in breast cancer
    Chen, Bingfeng
    Wu, Haoming
    Fang, Yutong
    Huang, Guangsheng
    Guo, Cuiping
    Chen, Chunfa
    He, Lifang
    Chen, Zexiao
    Hou, Xiangling
    Li, Cheukfai
    Wu, Jundong
    MEDICINE, 2024, 103 (06) : E37065
  • [6] A Prognostic Model Using Immune-Related Genes for Colorectal Cancer
    Feng, Wei
    Zhang, Yongxin
    Liu, Wenwei
    Wang, Xiaofeng
    Lei, Tianxiang
    Yuan, Yujie
    Chen, Zehong
    Song, Wu
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2022, 10
  • [7] Prognostic Risk Model of Immune-Related Genes in Colorectal Cancer
    Qian, Yucheng
    Wei, Jingsun
    Lu, Wei
    Sun, Fangfang
    Hwang, Maxwell
    Jiang, Kai
    Fu, Dongliang
    Zhou, Xinyi
    Kong, Xiangxing
    Zhu, Yingshuang
    Xiao, Qian
    Hu, Yeting
    Ding, Kefeng
    FRONTIERS IN GENETICS, 2021, 12
  • [8] Identification of a prognostic signature based on immune-related genes in bladder cancer
    Lv, Zhengtong
    Pang, Cheng
    Wang, Jinfu
    Xia, Haoran
    Liu, Jingchao
    Yan, Qiuxia
    Liu, Shengjie
    Liu, Ming
    Wang, Jianye
    GENOMICS, 2021, 113 (01) : 1203 - 1218
  • [9] Development of a prognostic signature for bladder cancer based on immune-related genes
    Shi, Ying-Rui
    Xiong, Kun
    Ye, Xu
    Yang, Pei
    Wu, Zheng
    Zu, Xiong-Bing
    ANNALS OF TRANSLATIONAL MEDICINE, 2020, 8 (21)
  • [10] Immune landscape and prognostic immune-related genes in KRAS-mutant colorectal cancer patients
    Liu, Jungang
    Huang, Xiaoliang
    Liu, Haizhou
    Wei, Chunyin
    Ru, Haiming
    Qin, Haiquan
    Lai, Hao
    Meng, Yongsheng
    Wu, Guo
    Xie, Weishun
    Mo, Xianwei
    Johnson, Caroline H.
    Zhang, Yawei
    Tang, Weizhong
    JOURNAL OF TRANSLATIONAL MEDICINE, 2021, 19 (01)