Deciphering the role of apoptosis signature on the immune dynamics and therapeutic prognosis in breast cancer: Implication for immunotherapy
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View abstract on PubMed
Summary
This summary is machine-generated.This study developed a novel seven-gene apoptosis model to predict breast cancer patient survival and immunotherapy response. The model accurately identifies high-risk patients, improving prognostic precision.
Area Of Science
- Oncology
- Molecular Biology
- Genetics
Background
- Apoptosis plays a critical role in breast cancer oncogenesis, offering potential for prognostic and therapeutic advancements.
- Developing predictive models based on apoptosis-related gene signatures is crucial for personalized breast cancer treatment.
Purpose Of The Study
- To construct and validate a prognostic model for breast cancer patients utilizing apoptosis-related genes.
- To assess the model's efficacy in predicting patient survival and response to immunotherapy.
Main Methods
- A prognostic model was developed using The Cancer Genome Atlas (TCGA) training dataset, focusing on apoptosis-related genes.
- Model validation was performed across multiple independent cohorts (METABRIC, SYSMH, IMvigor210).
- Quantitative Polymerase Chain Reaction (qPCR) was used to analyze gene expression in breast cancer cell lines versus normal mammary epithelial cells.
Main Results
- A seven-gene apoptosis-related signature demonstrated significant predictive power for breast cancer patient survival.
- The model successfully stratified patients into high-risk and low-risk groups, with high-risk individuals exhibiting poorer overall survival.
- qPCR analysis confirmed differential expression of the model genes in breast cancer cell lines compared to normal controls.
Conclusions
- The established prognostic model enhances the precision of breast cancer prognosis and immunotherapy response prediction.
- This apoptosis-driven model represents a significant step towards personalized medicine in breast cancer treatment.
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