Construction and Validation of a Ferroptosis-Related Prognostic Model for Gastric Cancer

Abstract

Background. Gastric cancer (GC), an extremely aggressive tumor with a very different prognosis, is the third leading cause of cancer-related mortality. We aimed to construct a ferroptosis-related prognostic model that can be distinguished prognostically. Methods. The gene expression and the clinical data of GC patients were downloaded from The Cancer Genome Atlas (TCGA) and Gene Expression Omnibus database (GEO). The ferroptosis-related genes were obtained from the FerrDb. Using the “limma” R package and univariate Cox analysis, ferroptosis-related genes with differential expression and prognostic value were identified in the TCGA cohort. Last absolute shrinkage and selection operator (LASSO) Cox regression was applied to shrink ferroptosis-related predictors and construct a prognostic model. Functional enrichment, ESTIMATE algorithm, and single-sample gene set enrichment analysis (ssGSEA) were applied for exploring the potential mechanism. GC patients from the GEO cohort were used for validation. Results. An 8-gene prognostic model was constructed and stratified GC patients from TCGA and meta-GEO cohort into high-risk groups or low-risk groups. GC patients in high-risk groups have significantly poorer OS compared with those in low-risk groups. The risk score was identified as an independent predictor for OS. Functional analysis revealed that the risk score was mainly associated with the biological function of extracellular matrix (ECM) organization and tumor immunity. Conclusion. In conclusion, the ferroptosis-related model can be utilized for the clinical prognostic prediction in GC.

Construction on of a Ferroptosis-Related lncRNA-Based Model to Improve the Prognostic Evaluation of Gastric Cancer Patients Based on Bioinformatics

“…In the study of Jiang et al, a prognostic model for gastric cancer was constructed based on ferroptosis-related genes. In their study, the AUC values were 0.654 at 1 year, 0.657 at 3 years, and 0.733 at 5 years ( Jiang et al, 2021 ), which were lower than those of our model. The work of Chen et al (2021) has built a prognostic signature model based on 10 hypoxia-related lncRNAs; the AUCs of this model were 0.703 and 0.734 in the test group and the combined group, respectively ( Chen et al, 2020 ).…”

A New Prognostic Risk Signature of Eight Ferroptosis-Related Genes in the Clear Cell Renal Cell Carcinoma

“…Zheng et al developed a 12-FRGs model to better predict the prognosis of patients with lower-grade gliomas (39). Jiang and his colleagues constructed an eight-gene ferroptosis-related prognostic model to predict the prognosis of gastric cancer patients (40). Our study has many advantages.…”

Identification and validation of a novel ferroptosis-related gene model for predicting the prognosis of gastric cancer patients

“…A ferroptosis-related prognostic model for GC has recently been constructed [ 20 ]. Compared with this model, the model we built has some merits.…”