Single-cell RNA datasets and bulk RNA datasets analysis demonstrated C1Q+ tumor-associated macrophage as a major and antitumor immune cell population in osteosarcoma

被引:14
|
作者
Tu, Jihao [1 ]
Wang, Duo [1 ]
Zheng, XiaoTian [1 ]
Liu, Bin [1 ]
机构
[1] First Hosp Jilin Univ, Dept Hand & Foot Surg, Changchun, Jilin, Peoples R China
来源
FRONTIERS IN IMMUNOLOGY | 2023年 / 14卷
关键词
tumor-associated macrophages; osteosarcoma; immune infiltration; biomarker; single-cell sequencing technology; DUFFY ANTIGEN; COMPLEMENT; EXPRESSION; ANGIOGENESIS; OSTEOCLASTS;
D O I
10.3389/fimmu.2023.911368
中图分类号
R392 [医学免疫学]; Q939.91 [免疫学];
学科分类号
100102 ;
摘要
BackgroundOsteosarcoma is the most frequent primary bone tumor with a poor prognosis. Immune infiltration proved to have a strong impact on prognosis. We analyzed single-cell datasets and bulk datasets to confirm the main immune cell populations and their properties in osteosarcoma. MethodsThe examples in bulk datasets GSE21257 and GSE32981 from the Gene Expression Omnibus database were divided into two immune infiltration level groups, and 34 differentially expressed genes were spotted. Then, we located these genes among nine major cell clusters and their subclusters identified from 99,668 individual cells in single-cell dataset GSE152048 including 11 osteosarcoma patients. Especially, the markers of all kinds of myeloid cells identified in single-cell dataset GSE152048 were set to gene ontology enrichment. We clustered the osteosarcoma samples in the TARGET-OS from the Therapeutically Applicable Research to Generate Effective Treatments dataset into two groups by complete component 1q positive macrophage markers and compared their survival. ResultsCompared with the low-immune infiltrated group, the high-immune infiltrated group showed a better prognosis. Almost all the 34 differentially expressed genes expressed higher or exclusively among myeloid cells. A group of complete component 1q-positive macrophages was identified from the myeloid cells. In the bulk dataset TARGET-OS, these markers and the infiltration of complete component 1q-positive macrophages related to longer survival. ConclusionsComplete component 1q-positive tumor-associated macrophages were the major immune cell population in osteosarcoma, which contributed to a better prognosis.
引用
收藏
页数:11
相关论文
共 50 条
  • [31] Integrated analysis of single-cell and bulk RNA sequencing data reveals prognostic characteristics of lysosome-dependent cell death-related genes in osteosarcoma
    Wu, Yueshu
    Yang, Jun
    Xu, Gang
    Chen, Xiaolin
    Qu, Xiaochen
    BMC GENOMICS, 2024, 25 (01)
  • [32] Integrated analysis of tumor microenvironment features to establish a diagnostic model for papillary thyroid cancer using bulk and single-cell RNA sequencing technology
    Wang, Yizeng
    Song, Wenbin
    Li, Yingxi
    Liu, Zhaoyi
    Zhao, Ke
    Jia, Lanning
    Wang, Xiaoning
    Jiang, Ruoyu
    Tian, Yao
    He, Xianghui
    JOURNAL OF CANCER RESEARCH AND CLINICAL ONCOLOGY, 2023, 149 (18) : 16837 - 16850
  • [33] Single-cell transcriptome analysis identifies a novel tumor-associated macrophage subtype predicting better prognosis in pancreatic ductal adenocarcinoma
    Wang, Xiaonan
    Li, Dongyi
    Zhu, Bo
    Hua, Zichun
    FRONTIERS IN CELL AND DEVELOPMENTAL BIOLOGY, 2024, 12
  • [34] Combined bulk RNA-seq and single-cell RNA-seq identifies a necroptosis-related prognostic signature associated with inhibitory immune microenvironment in glioma
    Wan, Sicheng
    Moure, Ulrich Aymard Ekomi
    Liu, Ruochen
    Liu, Chaolong
    Wang, Kun
    Deng, Longfei
    Liang, Ping
    Cui, Hongjuan
    FRONTIERS IN IMMUNOLOGY, 2022, 13
  • [35] Integrated analysis of single-cell and bulk RNA-sequencing reveals the poor prognostic value of ABCA1 in gastric adenocarcinoma
    Kaiyu Shen
    Shuaiyi Ke
    Binyu Chen
    Wencang Gao
    Discover Oncology, 14
  • [36] Myeloid Cell-associated Resistance to PD-1/PD-L1 Blockade in Urothelial Cancer Revealed Through Bulk and Single-cell RNA Sequencing
    Wang, Li
    Sfakianos, John P.
    Beaumont, Kristin G.
    Akturk, Guray
    Horowitz, Amir
    Sebra, Robert P.
    Farkas, Adam M.
    Gnjatic, Sacha
    Hake, Austin
    Izadmehr, Sudeh
    Wiklund, Peter
    Oh, William K.
    Szabo, Peter M.
    Wind-Rotolo, Megan
    Unsal-Kacmaz, Keziban
    Yao, Xin
    Schadt, Eric
    Sharma, Padmanee
    Bhardwaj, Nina
    Zhu, Jun
    Galsky, Matthew D.
    CLINICAL CANCER RESEARCH, 2021, 27 (15) : 4287 - 4300
  • [37] Comprehensive analysis of arachidonic acid metabolism-related genes in diagnosis and synovial immune in osteoarthritis: based on bulk and single-cell RNA sequencing data
    Bizhi Tu
    Run Fang
    Zheng Zhu
    Guang Chen
    Cheng Peng
    Rende Ning
    Inflammation Research, 2023, 72 : 955 - 970
  • [38] Integrating single-cell and bulk RNA sequencing to develop a cancer-associated fibroblast-related signature for immune infiltration prediction and prognosis in lung adenocarcinoma
    Huang, Xiulin
    Xiao, Hui
    Shi, Yongxin
    Ben, Suqin
    JOURNAL OF THORACIC DISEASE, 2023, 15 (03) : 1406 - +
  • [39] Integrative analysis of bulk and single-cell RNA-seq reveals the molecular characterization of the immune microenvironment and oxidative stress signature in melanoma
    Li, Yaling
    Jiang, Bin
    Chen, Bancheng
    Zou, Yanfen
    Wang, Yan
    Liu, Qian
    Song, Bing
    Yu, Bo
    HELIYON, 2024, 10 (06)
  • [40] RETRACTED: Identification of the Immune Status of Hypertrophic Cardiomyopathy by Integrated Analysis of Bulk- and Single-Cell RNA Sequencing Data (Retracted Article)
    Zhao, Wei
    Wu, Tianyu
    Zhan, Jian
    Dong, Zishuang
    COMPUTATIONAL AND MATHEMATICAL METHODS IN MEDICINE, 2022, 2022