DataSheet_2_Effective prediction of potential ferroptosis critical genes in clinical colorectal cancer.zip

BackgroundColon cancer is common worldwide, with high morbidity and poor prognosis. Ferroptosis is a novel form of cell death driven by the accumulation of iron-dependent lipid peroxides, which differs from other programmed cell death mechanisms. Programmed cell death is a cancer hallmark, and ferroptosis is known to participate in various cancers, including colon cancer. Novel ferroptosis markers and targeted colon cancer therapies are urgently needed. To this end, we performed a preliminary exploration of ferroptosis-related genes in colon cancer to enable new treatment strategies.
MethodsFerroptosis-related genes in colon cancer were obtained by data mining and screening for differentially expressed genes (DEGs) using bioinformatics analysis tools. We normalized the data across four independent datasets and a ferroptosis-specific database. Identified genes were validated by immunohistochemical analysis of pathological and healthy clinical samples.
ResultsWe identified DEGs in colon cancer that are involved in ferroptosis. Among these, five core genes were found: ELAVL1, GPX2, EPAS1, SLC7A5, and HMGB1. Bioinformatics analyses revealed that the expression of all five genes, except for EPAS1, was higher in tumor tissues than in healthy tissues.
ConclusionsThe preliminary exploration of the five core genes revealed that they are differentially expressed in colon cancer, playing an essential role in ferroptosis. This study provides a foundation for subsequent research on ferroptosis in colon cancer.

研究背景
结直肠癌在全球范围内高发，具有高发病率与不良预后。铁死亡（Ferroptosis）是一种新型的细胞死亡形式，由铁依赖性脂质过氧化物的积累所驱动，其机制与其他程序性细胞死亡（programmed cell death）截然不同。程序性细胞死亡是癌症的标志性特征之一，而铁死亡已被证实参与包括结直肠癌在内的多种癌症的发生发展。目前亟需新型的铁死亡相关标志物以及结直肠癌靶向治疗方案。为此，本研究针对结直肠癌中铁死亡相关基因开展初步探索，以期为结直肠癌的新型治疗策略提供依据。

研究方法
本研究借助生物信息学分析工具，通过数据挖掘与差异表达基因（differentially expressed genes, DEGs）筛选流程，获取了结直肠癌中的铁死亡相关基因。我们对来自4个独立数据集以及一个铁死亡专属数据库的原始数据进行了标准化处理。通过对临床病理样本与健康对照样本开展免疫组化分析（immunohistochemical analysis），对筛选得到的基因进行了验证。

研究结果
本研究筛选出了与结直肠癌中铁死亡过程相关的差异表达基因。其中共筛选得到5个核心基因：ELAVL1、GPX2、EPAS1、SLC7A5及HMGB1。生物信息学分析结果显示，除EPAS1外，其余4个核心基因在肿瘤组织中的表达水平均显著高于健康对照组织。

研究结论
针对上述5个核心基因的初步探索结果表明，这些基因在结直肠癌中存在差异表达，且在铁死亡过程中发挥关键作用。本研究为后续结直肠癌中铁死亡相关研究奠定了基础。