Abstract

BackgroundGastric cancer is one of the most common malignancies worldwide. Although the diagnosis and treatment of this disease have substantially improved in recent years, the five-year survival rate of gastric cancer is still low due to local recurrence and distant metastasis. An in-depth study of the molecular pathogenesis of gastric cancer and related prognostic markers will help improve the quality of life and prognosis of patients with this disease. The purpose of this study was to identify and verify key SNPs in genes with prognostic value for gastric cancer.MethodsSNP-related data from gastric cancer patients were obtained from The Cancer Genome Atlas (TCGA) database, and the functions and pathways of the mutated genes were analyzed using DAVID software. A protein-protein interaction (PPI) network was constructed using the STRING database and visualized by Cytoscape software, and molecular complex detection (MCODE) was used to screen the PPI network to extract important mutated genes. Ten hub genes were identified using cytoHubba, and the expression levels and the prognostic value of the central genes were determined by UALCAN and Kaplan-Meier Plotter. Finally, quantitative PCR and Western blotting were used to verify the expression of the hub genes in gastric cancer cells.ResultsFrom the database, 945 genes with mutations in more than 25 samples were identified. The PPI network had 360 nodes and 1616 edges. Finally, cytoHubba identified six key genes (TP53, HRAS, BRCA1, PIK3CA, AKT1, and SMARCA4), and their expression levels were closely related to the survival rate of gastric cancer patients.ConclusionOur results indicate that TP53, HRAS, BRCA1, PIK3CA, AKT1, and SMARCA4 may be key genes for the development and prognosis of gastric cancer. Our research provides an important bioinformatics foundation and related theoretical foundation for further exploring the molecular pathogenesis of gastric cancer and evaluating the prognosis of patients.

Highlights

  • Gastric cancer is the fifth most common malignant tumor worldwide and the second leading cause of cancer-related death [1]

  • Using the Kaplan-Meier chart, we evaluated the effects of the mutated genes on the prognosis of gastric cancer patients and identified genes that can be used as prognostic biomarkers for this disease

  • Our study showed that the expression of BRCA1 in gastric cancer was higher than that in normal samples, and high expression was associated with poor prognosis, which indicates that BRCA1 may play contrasting roles in different types of tumors, and the role of BRCA1 in gastric cancer should be further explored

Read more

Summary

Introduction

Gastric cancer is the fifth most common malignant tumor worldwide and the second leading cause of cancer-related death [1]. The treatment strategies for gastric cancer have substantially improved in recent years, the mortality rate is still high due to various genetic mutations and abnormal signaling pathways underlying the progression of this disease [2]. Given the high morbidity and mortality of gastric cancer, identification of its underlying molecular mechanism and genetic characteristics and elucidation of biological indicators for diagnosis and prognosis are essential for the personalized and precise treatment of gastric cancer patients. Analysis of SNP-containing genes is important for the early diagnosis and individualized targeted treatment of cancer. The diagnosis and treatment of this disease have substantially improved in recent years, the five-year survival rate of gastric cancer is still low due to local recurrence and distant metastasis. An in-depth study of the molecular pathogenesis of gastric cancer and related prognostic markers will help improve the quality of life and prognosis of patients with this disease. The purpose of this study was to identify and verify key SNPs in genes with prognostic value for gastric cancer

Objectives
Methods
Results
Discussion
Conclusion

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.