{"title":"Integration of multiomics analyses reveals unique insights into CD24-mediated immunosuppressive tumor microenvironment of breast cancer","authors":"Haihong Hu, Hongxia Zhu, Wendi Zhan, Bo Hao, Ting Yan, Jingdi Zhang, Siyu Wang, Xuefeng Xu, Taolan Zhang","doi":"10.1007/s00011-024-01882-9","DOIUrl":null,"url":null,"abstract":"<h3 data-test=\"abstract-sub-heading\">Background</h3><p>Tumor immunotherapy brings new light and vitality to breast cancer patients, but low response rate and limitations of therapeutic targets become major obstacles to its clinical application. Recent studies have shown that CD24 is involved in an important process of tumor immune regulation in breast cancer and is a promising target for immunotherapy.</p><h3 data-test=\"abstract-sub-heading\">Methods</h3><p>In this study, singleR was used to annotate each cell subpopulation after t-distributed stochastic neighbor embedding (t-SNE) methods. Pseudo-time trace analysis and cell communication were analyzed by Monocle2 package and CellChat, respectively. A prognostic model based on CD24-related genes was constructed using several machine learning methods. Multiple quantitative immunofluorescence (MQIF) was used to evaluate the spatial relationship between CD24<sup>+</sup>PANCK<sup>+</sup>cells and exhausted CD8<sup>+</sup>T cells.</p><h3 data-test=\"abstract-sub-heading\">Results</h3><p>Based on the scRNA-seq analysis, 1488 CD24-related differential genes were identified, and a risk model consisting of 15 prognostic characteristic genes was constructed by combining the bulk RNA-seq data. Patients were divided into high- and low-risk groups based on the median risk score. Immune landscape analysis showed that the low-risk group showed higher infiltration of immune-promoting cells and stronger immune reactivity. The results of cell communication demonstrated a strong interaction between CD24<sup>+</sup>epithelial cells and CD8<sup>+</sup>T cells. Subsequent MQIF demonstrated a strong interaction between CD24<sup>+</sup>PANCK<sup>+</sup> and exhausted CD8<sup>+</sup>T cells with FOXP3<sup>+</sup> in breast cancer. Additionally, CD24<sup>+</sup>PANCK<sup>+</sup> and CD8<sup>+</sup>FOXP3<sup>+</sup>T cells were positively associated with lower survival rates.</p><h3 data-test=\"abstract-sub-heading\">Conclusion</h3><p>This study highlights the importance of CD24<sup>+</sup>breast cancer cells in clinical prognosis and immunosuppressive microenvironment, which may provide a new direction for improving patient outcomes.</p>","PeriodicalId":13550,"journal":{"name":"Inflammation Research","volume":null,"pages":null},"PeriodicalIF":4.8000,"publicationDate":"2024-04-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Inflammation Research","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1007/s00011-024-01882-9","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CELL BIOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Background
Tumor immunotherapy brings new light and vitality to breast cancer patients, but low response rate and limitations of therapeutic targets become major obstacles to its clinical application. Recent studies have shown that CD24 is involved in an important process of tumor immune regulation in breast cancer and is a promising target for immunotherapy.
Methods
In this study, singleR was used to annotate each cell subpopulation after t-distributed stochastic neighbor embedding (t-SNE) methods. Pseudo-time trace analysis and cell communication were analyzed by Monocle2 package and CellChat, respectively. A prognostic model based on CD24-related genes was constructed using several machine learning methods. Multiple quantitative immunofluorescence (MQIF) was used to evaluate the spatial relationship between CD24+PANCK+cells and exhausted CD8+T cells.
Results
Based on the scRNA-seq analysis, 1488 CD24-related differential genes were identified, and a risk model consisting of 15 prognostic characteristic genes was constructed by combining the bulk RNA-seq data. Patients were divided into high- and low-risk groups based on the median risk score. Immune landscape analysis showed that the low-risk group showed higher infiltration of immune-promoting cells and stronger immune reactivity. The results of cell communication demonstrated a strong interaction between CD24+epithelial cells and CD8+T cells. Subsequent MQIF demonstrated a strong interaction between CD24+PANCK+ and exhausted CD8+T cells with FOXP3+ in breast cancer. Additionally, CD24+PANCK+ and CD8+FOXP3+T cells were positively associated with lower survival rates.
Conclusion
This study highlights the importance of CD24+breast cancer cells in clinical prognosis and immunosuppressive microenvironment, which may provide a new direction for improving patient outcomes.
期刊介绍:
Inflammation Research (IR) publishes peer-reviewed papers on all aspects of inflammation and related fields including histopathology, immunological mechanisms, gene expression, mediators, experimental models, clinical investigations and the effect of drugs. Related fields are broadly defined and include for instance, allergy and asthma, shock, pain, joint damage, skin disease as well as clinical trials of relevant drugs.