Exploring PANoptosis in breast cancer based on scRNA-seq and bulk-seq

Area of Science:

• Oncology
• Cell Death Pathways
• Bioinformatics

Background:

• PANoptosis, involving pyroptosis, apoptosis, and necroptosis, is crucial in malignancy.
• The role of PANoptosis in breast cancer remains underexplored.

Purpose of the Study:

• To investigate the role of PANoptosis in breast cancer.
• To develop a prognostic model for breast cancer patients based on PANoptosis-associated genes.
• To explore the relationship between PANoptosis, immune infiltration, and microsatellite instability in breast cancer.

Main Methods:

• Downloaded breast cancer datasets (GEO, TCGA).
• Identified PANoptosis-associated genes using COX and LASSO regression for prognostic model construction.
• Performed immune infiltration analysis and functional differential analysis.

Main Results:

• A prognostic model stratified patients into risk groups with differing survival outcomes (P < 0.05).
• Lower-risk groups exhibited higher immune infiltration and immune checkpoint gene expression.
• Higher microsatellite instability (MSI) correlated with lower risk scores.
• Radixin (RDX) identified as a key prognostic gene involved in immune response and proliferation.

Conclusions:

• PANoptosis-based molecular clustering and prognostic features can predict breast cancer patient survival.
• This study deepens the understanding of PANoptosis in breast cancer, suggesting potential for new immunotherapy strategies.