Single-Cell RNA Sequencing Analysis Reveals Metabolic Changes in Epithelial Glycosphingolipids and Establishes a Prognostic Risk Model for Pancreatic Cancer
Abstract
:1. Introduction
2. Materials and Methods
2.1. Single-Cell Sequencing Data Quality Control and Processing
2.2. Single-Cell Metabolic Analysis
2.3. Risk Model Construction
2.4. Risk Model Evaluation and Validation
2.5. Nomogram Model Construction
2.6. Mutation Landscape Analysis
2.7. Immune Cell Infiltration Estimation and Immune Subtype Analysis
2.8. Drug Response Prediction
2.9. Statistical Analysis
3. Results
3.1. Analysis of Single-Cell Sequencing
3.2. Metabolic Characteristics of Epithelial Cells and Screened DEGs
3.3. Development, Assessment, and Verification of Risk Models
3.4. Mutation Profile and Drug Sensitivity Variances between High-Risk and Low-Risk Cohorts
3.5. Immune Characteristics of High- and Low-Risk Groups
3.6. Validation of Gene Expression in PAAD Tissues
4. Discussion
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
References
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Ba, Q.; Wang, X.; Hu, H.; Lu, Y. Single-Cell RNA Sequencing Analysis Reveals Metabolic Changes in Epithelial Glycosphingolipids and Establishes a Prognostic Risk Model for Pancreatic Cancer. Diagnostics 2024, 14, 1094. https://doi.org/10.3390/diagnostics14111094
Ba Q, Wang X, Hu H, Lu Y. Single-Cell RNA Sequencing Analysis Reveals Metabolic Changes in Epithelial Glycosphingolipids and Establishes a Prognostic Risk Model for Pancreatic Cancer. Diagnostics. 2024; 14(11):1094. https://doi.org/10.3390/diagnostics14111094
Chicago/Turabian StyleBa, Qinwen, Xiong Wang, Hui Hu, and Yanjun Lu. 2024. "Single-Cell RNA Sequencing Analysis Reveals Metabolic Changes in Epithelial Glycosphingolipids and Establishes a Prognostic Risk Model for Pancreatic Cancer" Diagnostics 14, no. 11: 1094. https://doi.org/10.3390/diagnostics14111094