Disulfidptosis-related genes of prognostic signature and immune infiltration features in hepatocellular carcinoma supported by bulk and single-cell RNA sequencing data

被引:1
|
作者
Wang, Yuyang [1 ]
Yuan, Zibo [1 ]
Zhu, Qingwei [1 ]
Ma, Jun [1 ,2 ]
Lu, Qiliang [2 ]
Xiao, Zunqiang [3 ]
Xiao, Zunqiang [3 ]
机构
[1] Qingdao Univ, Qingdao Med Coll, Qingdao, Peoples R China
[2] Zhejiang Prov Peoples Hosp, Hangzhou Med Coll, Canc Ctr, Gen Surg,Dept Gastrointestinal & Pancreat Surg, Shangtang Rd 158, Hangzhou 310000, Peoples R China
[3] Zhejiang Prov Peoples Hosp, Hangzhou Med Coll, Canc Ctr, Gen Surg,Dept Hepatobiliary & Pancreat Surg & Mini, Shangtang Rd 158, Hangzhou 310000, Peoples R China
关键词
Disulfidptosis; immune microenvironment; immune checkpoints; drug sensitivity;
D O I
10.21037/jgo-23-949
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
Background: Disulfidptosis is a new type of cellular death triggered in response to disulfide stress and is strongly linked to the progression of malignancies. Hepatocellular carcinoma (HCC) is a very common malignancy. Some reports have suggested a link between disulfidptosis-related genes (DRGs) and cancer; however, further research needs to be conducted. Methods: In this study, HCC data from the Cancer Genome Atlas-Liver Hepatocellular Carcinoma and Gene Expression Omnibus data sets were collected and analyzed. A univariate Cox regression analysis, least absolute shrinkage and selection operator, and multivariate Cox regression analysis were conducted to identify the hub DRGs signature for prognosis. The HCC patients were allocated to high- and low -risk groups based on their disulfidptosis risk scores. The model was validated with a high degree of precision using both internal and external validation data sets. "ESTIMATE" and "CIBERSORT" packages were employed to assess the immunological landscapes and immune cell infiltration. The IMvigor210 cohort was chosen to validate the immunotherapy results. A drug sensitivity analysis was conducted to identify targeted medications. The expression of the hub DRGs in the HCC cells was confirmed using cytological techniques. Results: The bioinformatic analysis revealed that 16 genes showed differential expression. A prognostic model was developed based on four genes: RPN1, SLC2A1, SLC2A4, and SLC7A11. A notable difference in prognosis was observed between the two risk groups. Based on the results of the immune microenvironment, tumor mutation burden, immunotherapy, and drug screening analyses, the DRGs signature can be employed in HCC immunotherapy decision making. Further, the expression levels of the hub DRGs were significantly upregulated in the HCC cells. Conclusions: Our four-DRGs signature could be used to predict HCC prognosis. Further, this study showed that the hub DRGs could serve as biomarkers for immunotherapy prediction and could potentially guide targeted therapies.
引用
收藏
页码:377 / 396
页数:20
相关论文
共 50 条
  • [21] A novel prognostic signature and immune microenvironment characteristics associated with disulfidptosis in papillary thyroid carcinoma based on single-cell RNA sequencing
    Liao, Zhenyu
    Cheng, Ye
    Zhang, Huiru
    Jin, Xing
    Sun, Hanxing
    Wang, Yue
    Yan, Jiqi
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2023, 11
  • [22] Integration of Single-Cell RNA Sequencing and Bulk RNA Sequencing to Identify an Immunogenic Cell Death-Related 5-Gene Prognostic Signature in Hepatocellular Carcinoma
    Peng, Liqun
    Xu, Shaohua
    Xu, Jian-Liang
    JOURNAL OF HEPATOCELLULAR CARCINOMA, 2024, 11 : 879 - 900
  • [23] Integrated analysis of single-cell and bulk RNA sequencing data reveals a cellular senescence-related signature in hepatocellular carcinoma
    Qiao, Lei
    Xu, Zibo
    Chen, Yuheng
    Chen, Wenwei
    Liang, Yuan
    Wei, Yi
    Wang, Kang
    Yu, Yue
    Yan, Wei
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2024, 12
  • [24] A Novel Prognostic Signature of comprising Nine NK Cell signatures Based on Both Bulk RNA Sequencing and Single-Cell RNA Sequencing for Hepatocellular Carcinoma
    Yu, Qi
    Shi, Xuefeng
    Wang, Hongjian
    Zhang, Shun
    Hu, Songnian
    Cai, Ting
    JOURNAL OF CANCER, 2023, 14 (12): : 2209 - 2223
  • [25] Integrative analysis of single-cell and bulk RNA-sequencing data revealed disulfidptosis genes-based molecular subtypes and a prognostic signature in lung adenocarcinoma
    Wang, Haixia
    Zhu, Xuemei
    Zhao, Fangchao
    Guo, Pengfei
    Li, Jing
    Du, Jingfang
    Shan, Guoyong
    Li, Yishuai
    Li, Juan
    AGING-US, 2024, 16 (03): : 2753 - 2773
  • [26] A novel disulfidptosis-related lncRNAs signature for predicting survival and immune response in hepatocellular carcinoma
    Guo, Zhoubo
    Xie, Yan
    Zhang, Li
    Liu, Shuaichen
    Jiang, Wentao
    AGING-US, 2024, 16 (01): : 267 - 284
  • [27] Combining bulk and single-cell RNA-sequencing data to develop an NK cell-related prognostic signature for hepatocellular carcinoma based on an integrated machine learning framework
    Feng, Qian
    Huang, Zhihao
    Song, Lei
    Wang, Le
    Lu, Hongcheng
    Wu, Linquan
    EUROPEAN JOURNAL OF MEDICAL RESEARCH, 2023, 28 (01)
  • [28] Combining bulk and single-cell RNA-sequencing data to develop an NK cell-related prognostic signature for hepatocellular carcinoma based on an integrated machine learning framework
    Qian Feng
    Zhihao Huang
    Lei Song
    Le Wang
    Hongcheng Lu
    Linquan Wu
    European Journal of Medical Research, 28
  • [29] Development of a novel disulfidptosis-related lncRNA signature for prognostic and immune response prediction in clear cell renal cell carcinoma
    Wang, Ning
    Hu, Yifeng
    Wang, Shasha
    Xu, Qin
    Jiao, Xiaojing
    Wang, Yanliang
    Yan, Lei
    Cao, Huixia
    Shao, Fengmin
    SCIENTIFIC REPORTS, 2024, 14 (01)
  • [30] Identification of a disulfidptosis-related lncRNA signature for the prognostic and immune landscape prediction in head and neck squamous cell carcinoma
    Zhengyu Wei
    Chongchang Zhou
    Yi Fang
    Hongxia Deng
    Zhisen Shen
    Discover Oncology, 15