Establishment of Golgi apparatus-related genes signature to predict the prognosis and immunotherapy response in gastric cancer patients

Rui Liu ¹, Weiwei Chu , Xiaojin Liu

⁰Department of Gastrointestinal Surgery, Hangzhou Third People's Hospital, Hangzhou, Zhejiang, China.

Medicine +

|

March 15, 2024

View abstract on PubMed

Summary

Golgi apparatus-related gene features can predict gastric cancer prognosis and response to immunotherapy. This study identified five key genes that stratify patients, guiding personalized treatment strategies for better outcomes.

Area Of Science

Oncology
Molecular Biology
Genetics

Background

The Golgi apparatus is vital for protein processing and its dysfunction is linked to cancer.
Identifying prognostic markers in gastric cancer is crucial for effective treatment.

Purpose Of The Study

To evaluate the prognostic and treatment response value of Golgi apparatus-related gene (GARGs) features in gastric cancer.
To develop a predictive model for gastric cancer prognosis and immune therapy response.

Main Methods

Utilized transcriptome and clinical data from The Cancer Genome Atlas and Gene Expression Omnibus.
Employed Cox regression to identify prognostic GARGs and construct risk features.
Analyzed immune landscape, drug sensitivity, and mutation profiles across risk groups.

Main Results

Identified five independent prognostic GARGs (NGF, ABCG1, CHAC1, GBA2, PCSK7) forming a risk signature.
High-risk group showed poorer prognosis, increased immune infiltration, and activated cell cycle pathways.
Low-risk group demonstrated higher sensitivity to specific drugs and improved immune therapy response.

Conclusions

GARGs-derived risk features are valuable for gastric cancer prognosis and predicting immune therapy response.
A nomogram incorporating GARGs and age improves prognostic prediction accuracy.
These findings offer potential clinical utility for personalized gastric cancer management.