PDF(Pubmed)
Abstract：
UNASSIGNED: To build a ferroptosis-related prognostic model for patients with colon adenocarcinoma (COAD).
UNASSIGNED: COAD expression profiles from The Cancer Genome Atlas were used as the training set and GSE39582 from Gene Expression Omnibus as the validation set. Differentially expressed ferroptosis-related genes between patients with COAD and normal controls were screened, followed by tumor subtype exploration based on ferroptosis-related gene expression levels. A ferroptosis score (FS) model was constructed using least absolute shrinkage and selection operator penalized Cox analysis. Based on FS, patients were subgrouped into high- and low-risk subgroups and overall survival was predicted. The potential prognostic value of the FS model and the clinical characteristics were investigated using receiver operating characteristic curves.
UNASSIGNED: Twenty-four differentially expressed ferroptosis-related genes were identified, four of which (CYBB, PRNP, ACSL4, and ACSL6) were included in the prognostic signature. Moreover, age, pathological T stage, and tumor recurrence were independent prognostic factors for COAD. The FS model combined with three independent prognostic factors showed the best prognostic value (The Cancer Genome Atlas: area under the curve = 0.897; GSE39582: area under the curve = 0.858).
UNASSIGNED: The novel prognostic model for patients with COAD constructed by pairing the FS model with three important independent prognostic factors showed promising clinical predictive value.
UNASSIGNED: COAD expression profiles from The Cancer Genome Atlas were used as the training set and GSE39582 from Gene Expression Omnibus as the validation set. Differentially expressed ferroptosis-related genes between patients with COAD and normal controls were screened, followed by tumor subtype exploration based on ferroptosis-related gene expression levels. A ferroptosis score (FS) model was constructed using least absolute shrinkage and selection operator penalized Cox analysis. Based on FS, patients were subgrouped into high- and low-risk subgroups and overall survival was predicted. The potential prognostic value of the FS model and the clinical characteristics were investigated using receiver operating characteristic curves.
UNASSIGNED: Twenty-four differentially expressed ferroptosis-related genes were identified, four of which (CYBB, PRNP, ACSL4, and ACSL6) were included in the prognostic signature. Moreover, age, pathological T stage, and tumor recurrence were independent prognostic factors for COAD. The FS model combined with three independent prognostic factors showed the best prognostic value (The Cancer Genome Atlas: area under the curve = 0.897; GSE39582: area under the curve = 0.858).
UNASSIGNED: The novel prognostic model for patients with COAD constructed by pairing the FS model with three important independent prognostic factors showed promising clinical predictive value.
摘要：
■建立结肠腺癌（COAD）患者铁凋亡相关的预后模型。
■来自癌症基因组图谱的COAD表达谱用作训练集,来自基因表达综合的GSE39582用作验证集。筛选COAD患者与正常对照组差异表达的铁凋亡相关基因,其次是基于铁凋亡相关基因表达水平的肿瘤亚型探索。使用最小绝对收缩和选择操作员惩罚的Cox分析构建了铁沉积评分（FS）模型。基于FS，将患者分为高危亚组和低危亚组,并预测总生存期.使用受试者工作特征曲线研究FS模型的潜在预后价值和临床特征。
■确定了24个差异表达的铁凋亡相关基因，其中四个(CYBB，PRNP,ACSL4和ACSL6）包括在预后特征中。此外，年龄,病理T分期,肿瘤复发是COAD的独立预后因素。结合三个独立预后因素的FS模型显示出最佳的预后价值(癌症基因组图谱:曲线下面积=0.897;GSE39582:曲线下面积=0.858)。
■通过将FS模型与三个重要的独立预后因素配对而构建的针对COAD患者的新型预后模型显示出有希望的临床预测价值。
■来自癌症基因组图谱的COAD表达谱用作训练集,来自基因表达综合的GSE39582用作验证集。筛选COAD患者与正常对照组差异表达的铁凋亡相关基因,其次是基于铁凋亡相关基因表达水平的肿瘤亚型探索。使用最小绝对收缩和选择操作员惩罚的Cox分析构建了铁沉积评分（FS）模型。基于FS，将患者分为高危亚组和低危亚组,并预测总生存期.使用受试者工作特征曲线研究FS模型的潜在预后价值和临床特征。
■确定了24个差异表达的铁凋亡相关基因，其中四个(CYBB，PRNP,ACSL4和ACSL6）包括在预后特征中。此外，年龄,病理T分期,肿瘤复发是COAD的独立预后因素。结合三个独立预后因素的FS模型显示出最佳的预后价值(癌症基因组图谱:曲线下面积=0.897;GSE39582:曲线下面积=0.858)。
■通过将FS模型与三个重要的独立预后因素配对而构建的针对COAD患者的新型预后模型显示出有希望的临床预测价值。
