Construction of a New Ferroptosis-related Prognosis Model for Survival Prediction in Colorectal Cancer

作者：Lin Chen, Mengxiao Ge, Shaocong Mo, Menglin Shi, Jun Zhang, Jun Zhang, Jie Liu · 发表于：Current Medicinal Chemistry · 年份：2024 · DOI：10.2174/0109298673296767240116215814 · 被引用次数：5 · 研究领域：Ferroptosis and cancer prognosis、Cancer, Lipids, and Metabolism、Clusterin in disease pathology

Aim: This study was designed to develop a ferroptosis-related gene signature for guiding the prognostic prediction in colorectal cancer (CRC) and to explore the potential in the molecular functions of the gene signature. Background: Ferroptosis is mainly characterized by lipid peroxide accumulation on the cell membranes in an iron-dependent manner, resulting in cellular oxidative stress, metabolic disorders, and, ultimately, cell death. This study aimed to develop a prognostic ferroptosis signature in CRC and explore its potential molecular function. Objective: The present work was designed to devise a ferroptosis signature for CRC prognosis and explore its potential molecular function. Methods: Single-cell RNA sequencing data GSE161277 and transcriptome sequencing data GSE17537 and TCGA-CRC from the Gene Expression Omnibus (GEO) and the Cancer Genome Atlas (TCGA) databases were downloaded, respectively. Quality control, dimension reduction, clustering, and clustering of single-cell RNA sequencing (scRNA- seq) data were performed using the Seurat package. A total of 259 ferroptosis-correlated genes from the FerrDb database were acquired. The single sample gene set enrichment analysis (ssGSEA) was performed to calculate the scores of genes related to ferroptosis. ESTIMATE was used to calculate immune infiltration. Independent prognostic factors were determined by performing Weighted Gene Co-Expression Network Analysis (WGCNA), univariate and Cox analyses, and Lasso analyses we...