Characterizing the Tumor Microenvironment and Its Prognostic Impact in Breast Cancer
Abstract
:1. Introduction
2. Materials and Methods
2.1. Breast Cancer Patient Cohorts
2.2. Assessment of Tumor Immune Infiltration
2.3. Computing Tumor Mutation Burden
2.4. Copy Number Variation Identification
2.5. Survival Analysis
2.6. Single-Cell RNA Sequencing Data Process
2.7. Cell Communication Network Inference
3. Results
3.1. Immune-Infiltration Decomposition in Breast Cancer
3.2. Exploring Infiltration Patterns across Patient Groups
3.3. Relation of Genetic Mutations with Immune Infiltration
3.4. Breast Cancer Patient Clusters Revealed by scRNA-seq Data
3.5. Deciphering Cellular Interactions in Tumor Microenviroment
3.6. Major Cell Communication Patterns within the TME
3.7. Signaling Pathway Alterations Associated with Immune Activation and Suppression
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
TME | Tumor microenviroment |
TMB | Tumor mutation burden |
Breast cancer | BC |
References
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Zhang, W.; Lee, A.; Tiwari, A.K.; Yang, M.Q. Characterizing the Tumor Microenvironment and Its Prognostic Impact in Breast Cancer. Cells 2024, 13, 1518. https://doi.org/10.3390/cells13181518
Zhang W, Lee A, Tiwari AK, Yang MQ. Characterizing the Tumor Microenvironment and Its Prognostic Impact in Breast Cancer. Cells. 2024; 13(18):1518. https://doi.org/10.3390/cells13181518
Chicago/Turabian StyleZhang, Wenjuan, Alex Lee, Amit K. Tiwari, and Mary Qu Yang. 2024. "Characterizing the Tumor Microenvironment and Its Prognostic Impact in Breast Cancer" Cells 13, no. 18: 1518. https://doi.org/10.3390/cells13181518