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Author Spotlight: Exploring the Role of Unfolded Protein Response in HIV-1 Replication and Infectivity
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A novel signature integrated endoplasmic reticulum stress and apoptosis related genes to predict prognosis for breast
Hao Fan1,2, Mingjie Dong1,2, Chaomin Ren2
1Department of Orthopedics, Second Hospital of Shanxi Medical University, Taiyuan, China.
Heliyon
|March 28, 2024
Summary
This study developed a new prognostic model for breast cancer survival using endoplasmic reticulum stress and apoptosis-related genes (ERAGs). The model accurately predicts patient outcomes and complements existing breast cancer prognostic tools.
Area of Science:
- Oncology
- Molecular Biology
- Genetics
Background:
- Breast cancer remains a leading cause of cancer mortality worldwide.
- Identifying reliable prognostic markers is crucial for improving patient outcomes.
Purpose of the Study:
- To establish and validate a prognostic model for breast cancer (BC) survival using endoplasmic reticulum stress and apoptosis-related genes (ERAGs).
- To develop a novel molecular predictive tool for breast cancer.
Main Methods:
- Utilized The Cancer Genome Atlas (TCGA) database for gene expression and clinical data.
- Employed univariate Cox regression and LASSO-penalized Cox regression to identify prognostic ERAGs.
- Validated the model using Kaplan-Meier (KM) survival, receiver operating characteristic (ROC) curve analysis, and nomogram construction.
Main Results:
- A prognostic signature of 16 ERAGs was constructed.
- The developed nomogram model demonstrated high accuracy in predicting overall survival (OS) for breast invasive carcinoma (BRCA) patients.
- Analysis provided insights into the potential mechanisms of ERAGs in breast cancer.
Conclusions:
- A novel, effective molecular predictive model for breast cancer was developed and validated.
- This ERAG-based model serves as a valuable addition to existing breast cancer prognostic prediction strategies.
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