Single‑cell RNA‑seq necroptosis‑related genes predict the prognosis of breast cancer and affect the differentiation of CD4+ T cells in tumor immune microenvironment
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View abstract on PubMed
Summary
This summary is machine-generated.A new prognostic model using five necroptosis-related genes (NRGs) effectively predicts breast cancer (BC) patient outcomes and reveals their role in the tumor immune microenvironment (TIME). These genes are crucial in CD4+ T cell development.
Area Of Science
- Oncology
- Immunology
- Genetics
Background
- Breast cancer (BC) is a leading cause of cancer mortality worldwide.
- Understanding the tumor immune microenvironment (TIME) is crucial for BC prognosis and treatment.
- Necroptosis-related genes (NRGs) are increasingly recognized for their potential roles in cancer.
Purpose Of The Study
- To develop a prognostic model for BC based on NRGs at the single-cell level.
- To investigate the role of NRGs within the BC tumor immune microenvironment (TIME).
- To identify potential therapeutic targets for BC.
Main Methods
- Single-cell RNA sequencing (scRNA-seq) data analysis.
- Construction of a prognostic risk model using Cox regression and LASSO.
- AUCell scoring for cell population identification and pseudotime analysis for cell trajectory.
- Validation of gene expression using reverse transcription-quantitative (RT-qPCR).
Main Results
- A five-gene NRG prognostic model (BCL2, BIRC3, AIFM1, IFNG, VDAC1) was established and validated for BC prognosis.
- NRGs were highly active and differentially expressed in CD4+ T cells, influencing their developmental trajectories within the TIME.
- RT-qPCR confirmed significant overexpression of most model genes in BC cell lines (MDA-MB-231, MCF-7).
Conclusions
- A novel NRG signature demonstrates excellent predictive value for BC prognosis and TIME characteristics.
- NRGs play a significant role in the differentiation and development of CD4+ T cells in the BC TIME.
- This study provides a foundation for developing novel therapeutic strategies targeting NRGs in breast cancer.
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