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Development of a Prognostic Model for Gastric Cancer Based on Apoptosis- and Hypoxia-Related Genes: Predictive
1Department of General Surgery, First People's Hospital of Linping District, Hangzhou 311100, China.
Summary
This study developed a prognostic model using apoptosis and hypoxia-related genes (AHRGs) to predict gastric cancer (GC) survival. The AHRG score effectively identified patient risk groups and potential therapeutic targets.
Area of Science:
- Oncology
- Molecular Biology
- Bioinformatics
Background:
- Gastric cancer (GC) is a leading cause of cancer death with poor prognosis.
- Apoptosis and hypoxia play crucial roles in GC development and progression.
Purpose of the Study:
- To identify and validate apoptosis and hypoxia-related genes (AHRGs) as prognostic markers for gastric cancer.
- To develop a predictive model for gastric cancer prognosis based on AHRGs.
Main Methods:
- Differential gene expression analysis on TCGA GC data.
- Construction and validation of a prognostic model using regression analyses and external datasets.
- Clustering of tumor samples and analysis of immune landscape and chemosensitivity.
Main Results:
- A robust prognostic model based on AHRGs was established and validated.
- The AHRG risk score independently predicted GC prognosis and was used to create a nomogram.
- Distinct molecular subtypes with varying prognoses, immune profiles, and therapeutic sensitivities were identified.
Conclusions:
- The AHRG scoring system offers a novel and effective method for predicting GC prognosis.
- This approach can guide personalized treatment strategies and identify potential therapeutic targets for gastric cancer.
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