ArticleFrontiers in oncology2022
Molecular Typing of Gastric Cancer Based on Invasion-Related Genes and Prognosis-Related Features.
Article in Frontiers in oncology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Integrated Transcriptomic Analysis and Machine Learning Identify THY1 as a Key Regulator of Cancer-Associated Fibroblast Infiltration, Promoting Malignant Progression and Immune Escape in Gastric Cancer.Journal of gastroenterology and hepatology · 2026Article
- Blood and gut virome remodeling in gastric cancer: Anellovirus expansion and novel virus discovery.Virologica Sinica · 2026Article
- Renqing Mangjue modulates chronic atrophic gastritis inflammation-cancer transition via the cGMP-PKG/PI3K-AKT pathway.Chinese medicine · 2026Article
- Effective analysis of testicular seminoma toxicity and mechanisms of acetyl tributyl citrate using network toxicology, bulk RNA sequencing data, single-cell RNA sequencing data, and clinical data.Frontiers in immunology · 2026Article
- Single-cell RNA Sequencing Demonstrates the Heterogeneity of Different Molecular Subtypes in Gastric Cancer.Biochemical genetics · 2025Article
- Effect of Reoxygenation on Radioresistance of Chronically Hypoxic A549 Non-Small Cell Lung Cancer (NSCLC) Cells Following X-Ray and Carbon Ion Exposure.International journal of molecular sciences · 2025Article
- Exploring the metastasis-related biomarker and carcinogenic mechanism in liver cancer based on single cell technology.Heliyon · 2024Article
- Construction of a prognostic model via WGCNA combined with the LASSO algorithm for stomach adenocarcinoma patients.Frontiers in genetics · 2024Article
- Safety and Efficacy of Neoadjuvant Chemoimmunotherapy in Gastric Cancer Patients with a PD-L1 Positive Status: A Case Report.Current issues in molecular biology · 2023Article
- A novel signature based on CeRNA and immune status predicts prognostic risk and drug sensitivity in gastric cancer patients.Frontiers in immunology · 2022Article
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Authors and funding
6 authors.
Funding
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Abstract
Background: This study aimed to construct a prognostic stratification system for gastric cancer (GC) using tumour invasion-related genes to more accurately predict the clinical prognosis of GC. Methodology: Tumour invasion-related genes were downloaded from CancerSEA, and their expression data in the TCGA-STAD dataset were used to cluster samples Results: Based on 97 tumour invasion-related genes, 353 GC samples from TCGA were categorised into two subtypes, thereby indicating the presence of inter-subtype differences in prognosis. A total of 569 DEGs were identified between the two subtypes; of which, four genes were selected to construct the risk model. This four-gene signature was robust and exhibited stable predictive performance in different platform datasets (GSE26942 and GSE66229), indicating that the established model performed better than other existing models. Conclusion: A prognostic stratification system based on a four-gene signature was developed with a desirable area under the curve in the training and independent validation sets. Therefore, the use of this system as a molecular diagnostic test is recommended to assess the prognostic risk of patients with GC.
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