Systematic analysis of PANoptosis-related genes identifies XIAP as a functional oncogene in breast cancer
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View abstract on PubMed
Summary
This summary is machine-generated.This study identifies four PANoptosis-related genes that predict breast cancer patient survival and immune infiltration. The findings highlight PANoptosis
Area Of Science
- Oncology
- Cell Death Research
- Bioinformatics
Background
- Breast cancer (BC) is a leading global malignancy in women.
- PANoptosis, a novel cell death pathway, is gaining attention.
- The role of PANoptosis in BC and its related genes is not well understood.
Purpose Of The Study
- To investigate the role of PANoptosis-related genes in breast cancer prognosis.
- To develop a predictive risk model for breast cancer based on PANoptosis-related genes.
- To explore the therapeutic potential of targeting PANoptosis in breast cancer.
Main Methods
- Utilized public breast cancer expression and clinical data.
- Developed a risk model using univariate Cox, LASSO, and Kaplan-Meier analyses.
- Constructed and validated a nomogram for survival probability prediction.
Main Results
- Identified 4 differentially expressed PANoptosis-related genes impacting overall survival.
- Established a risk model stratifying patients into low/high-risk groups with distinct prognoses and immune infiltration levels.
- Developed a nomogram for predicting 1-, 3-, and 5-year survival.
- XIAP identified as a high-risk factor; its inhibition enhanced doxorubicin's antitumor effect via PANoptosis.
Conclusions
- PANoptosis plays a significant role in breast cancer prognosis.
- PANoptosis-related genes can serve as predictive biomarkers for breast cancer.
- Targeting PANoptosis may offer novel therapeutic strategies for breast cancer.
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