The doi above is for this specific version of this dataset, which is currently the latest. Newer versions may be published in the future. For a link that will always point to the latest version, please use
doi: 10.4121/905585ce-934e-49c8-8c2a-37f6628ccb5d

Xing, Chengjun (2024): Data Files Used for Construction of an Extracellular Matrix-related Gene Model for Predicting Prognosis and Immune Features in Gastric Cancer. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/905585ce-934e-49c8-8c2a-37f6628ccb5d.v1

Dataset

• Oncology and Carcinogenesis
• Medical and Health Sciences

Extracellular matrix, Gastric cancer, Immune checkpoint, Prediction model, Prognosis

CC0

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by Chengjun Xing

The extracellular matrix (ECM) is a major component of the tumor microenvironment and can influence tumor initiation, proliferation, invasion, and angiogenesis. However, published research on the relationship between ECM and gastric cancer (GC) prognosis is limited. There is currently no ECM-related prognostic risk model to predict the prognosis of GC patients. We screened the differentially expressed genes (DEGs) between normal and GC tissues based on The Cancer Genome Atlas (TCGA) database. ECM-related DEGs were selected and LASSO Cox regression analysis was performed for these DEGs. We established a prognostic risk model based on five ECM-related genes. A nomogram for clinical diagnosis was constructed based on Riskscore and clinical characteristics. The results showed that GC patients with lower RiskScore had better survival outcomes than those with higher RiskScore. The receiver operating characteristic (ROC) curve confirmed the accuracy of the prognostic risk signatures. The performance of the prognostic risk model was further validated in two external datasets. 

• 2024-05-13 first online, published, posted

4TU.ResearchData

*.gmt; *.txt; *.tsv

The Affiliated Hospital of Southwest Medical University