Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq
Abstract
:1. Introduction
2. Materials and Methods
2.1. Data Collection and Processing
2.2. Single-Cell Data Integration and Analysis
2.3. Identification of Cancer Cells by Calculating Cell Copy Number Variations
2.4. Identification and Functional Analysis of Differentially Expressed Genes
2.5. Inference of Gene Regulatory Networks (GRNs) in Tumor Cells
2.6. Construction of Prognostic Risk Model
2.7. Data Statistics and Visualization
3. Results
3.1. TNBC Has a Higher Proportion of Tumor Cells
3.2. Functions of Specifically Upregulated Genes and Variation of GRNs in Three BC Subtypes
3.3. Intercellular Communication of Cancer Cells Leads to BC Inflammatory Microenvironment
3.4. Prognostic Model Construction Using Cancer Cell-Specific Upregulated Genes
4. Discussion
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Informed Consent Statement
Data Availability Statement
Acknowledgments
Conflicts of Interest
References
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Xu, J.; Qin, S.; Yi, Y.; Gao, H.; Liu, X.; Ma, F.; Guan, M. Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq. Int. J. Mol. Sci. 2022, 23, 9936. https://doi.org/10.3390/ijms23179936
Xu J, Qin S, Yi Y, Gao H, Liu X, Ma F, Guan M. Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq. International Journal of Molecular Sciences. 2022; 23(17):9936. https://doi.org/10.3390/ijms23179936
Chicago/Turabian StyleXu, Jieyun, Shijie Qin, Yunmeng Yi, Hanyu Gao, Xiaoqi Liu, Fei Ma, and Miao Guan. 2022. "Delving into the Heterogeneity of Different Breast Cancer Subtypes and the Prognostic Models Utilizing scRNA-Seq and Bulk RNA-Seq" International Journal of Molecular Sciences 23, no. 17: 9936. https://doi.org/10.3390/ijms23179936