Comprehensive analysis of angiogenesis pattern and related immune landscape for individual treatment in osteosarcoma

被引:0
|
作者
Zhuangyao Liao
Ming Li
Guoming Wen
Kun Wang
Dengbo Yao
Enming Chen
Yuwei Liang
Tong Xing
Kaihui Su
Changchun Liang
Zhen Che
Qing Ning
Jun Tang
Wenbin Yan
Yuxi Li
Lin Huang
机构
[1] Sun Yat-Sen University,Department of Orthopedics, Sun Yat
[2] Sun Yat-sen University,Sen Memorial Hospital
[3] Sun Yat-Sen University,Guangdong Provincial Key Laboratory of Malignant Tumor Epigenetics and Gene Regulation, Sun Yat
来源
关键词
D O I
暂无
中图分类号
学科分类号
摘要
Postoperative recurrence and metastasis are the main reasons for the poor prognosis of osteosarcoma (OS). Currently, an ideal predictor for not only prognosis but also drug sensitivity and immunotherapy responses in OS patients is urgently needed. Angiogenesis plays a crucial role in tumour progression, which suggests its immense potential for predicting prognosis and responses to immunotherapy for OS. Angiogenesis patterns in OS were explored in depth in this study to construct a prognostic model called ANGscore and clarify the underlying mechanism involved in the immune microenvironment. The efficacy and robustness of the model were validated in multiple datasets, including bulk RNA-seq datasets (TARGET-OS, GSE21257), a single-cell RNA-seq dataset (GSE152048) and immunotherapy-related datasets (GSE91061, GSE173839). OS patients with a high ANGscore had a worse prognosis, accompanied by the immune desert phenotype. Pseudotime and cellular communication analyses in scRNA-seq data revealed that as the ANGscore increased, the malignant degree of cells increased, and IFN-γ signalling was involved in tumour progression and regulation of the tumour immune microenvironment. Furthermore, the ANGscore was associated with immune cell infiltration and the response rate to immunotherapy. OS patients with high ANGscore might be resistant to uprosertib, and be sensitive to VE821, AZD6738 and BMS.345541. In conclusion, we established a novel ANGscore system by comprehensively analysing the expression pattern of angiogenesis genes, which can accurately differentiate the prognosis and immune characteristics of OS populations. Additionally, the ANGscore can be used for patient stratification during immunotherapy, and guide individualized treatment strategies.
引用
收藏
相关论文
共 50 条
  • [21] The role of mitochondria-related lncRNAs in characterizing the immune landscape and supervising the prognosis of osteosarcoma
    Zhang, Yiming
    Ru, Nan
    Xue, Zhaowen
    Gan, Wenyi
    Pan, Ruilin
    Wu, Zelin
    Chen, Zihang
    Wang, Huajun
    Zheng, Xiaofei
    JOURNAL OF BONE ONCOLOGY, 2023, 43
  • [22] Clinical significance and immune landscape of a novel ferroptosis-related prognosis signature in osteosarcoma
    Liyu Yang
    Jiamei Liu
    Shengye Liu
    BMC Cancer, 23
  • [23] Development and experimental verification of novel angiogenesis related prognostic model and immune infiltration characterization in osteosarcoma
    Ren, Shengquan
    Pan, Rongfang
    Wang, Zhengdan
    DISCOVER ONCOLOGY, 2024, 15 (01)
  • [24] Comprehensive analysis of the prognosis and immune infiltration landscape of RNA methylation-related subtypes in pancreatic cancer
    Siyuan Lu
    Jie Hua
    Jiang Liu
    Miaoyan Wei
    Chen Liang
    Qingcai Meng
    Bo Zhang
    Xianjun Yu
    Wei Wang
    Jin Xu
    BMC Cancer, 22
  • [25] Comprehensive analysis of m5C-Related lncRNAs in the prognosis and immune landscape of hepatocellular carcinoma
    Lu, Qian
    Liu, Lianyu
    Wang, Shuai
    Zhang, Qi
    Li, Li
    FRONTIERS IN GENETICS, 2022, 13
  • [26] Comprehensive analysis of disulfidptosis-related lncRNA features for prognosis and immune landscape prediction in colorectal cancer
    Dong, Chengyuan
    Guo, Yadong
    Wang, Ping
    Yin, Shiqi
    Ge, Xin
    FRONTIERS IN ONCOLOGY, 2023, 13
  • [27] Comprehensive analysis of the prognosis and immune infiltration landscape of RNA methylation-related subtypes in pancreatic cancer
    Lu, Siyuan
    Hua, Jie
    Liu, Jiang
    Wei, Miaoyan
    Liang, Chen
    Meng, Qingcai
    Zhang, Bo
    Yu, Xianjun
    Wang, Wei
    Xu, Jin
    BMC CANCER, 2022, 22 (01)
  • [28] Screening a novel signature and predicting the immune landscape of metastatic osteosarcoma in children via immune-related lncRNAs
    Wei, Jie
    Fang, Da-Lang
    Huang, Cheng Kua
    Hua, Shu-Liang
    Lu, Xiao-Sheng
    TRANSLATIONAL PEDIATRICS, 2021, 10 (07) : 1851 - 1866
  • [29] Comprehensive analysis of splicing factor SRs-related gene characteristics: predicting osteosarcoma prognosis and immune regulation status
    Long, Changhai
    Ma, Biao
    Li, Kai
    Liu, Sijing
    FRONTIERS IN ONCOLOGY, 2024, 14
  • [30] Impact of landscape pattern change on water-related ecosystem services: Comprehensive analysis based on heterogeneity perspective
    Li, Junhan
    Zhou, Kaichun
    Xie, Binggeng
    Xiao, Jianyong
    ECOLOGICAL INDICATORS, 2021, 133