基于全面分析和机器学习的结直肠癌独特生物标志物的识别
Liwei Wang1, Aigang Ren1, Xiaolong Cui1
1Department of Colorectal and Anorectal Surgery, First Hospital of Shanxi Medical University, Taiyuan, China.
Frontiers in oncology
|February 11, 2026
概括
七个关键的RNA结合蛋白 (RBP) 基因显示出作为结直肠癌 (CRC) 生物标志物的潜力. 这些基因可能会通过影响铁亡来帮助诊断CRC,从而提供新的治疗点.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 生物标志物发现发现
背景情况:
- 结肠直肠癌 (CRC) 是一个重大的全球健康挑战,发病率高,预后不佳.
- 有效的生物标志物对于改善CRC诊断和治疗结果至关重要.
研究的目的:
- 为了确定结直肠癌 (CRC) 诊断和治疗的新生物标志物.
- 研究铁 - 线粒体 - RNA 结合蛋白相关基因 (IMRBPs) 在CRC中的作用.
主要方法:
- 使用TCGA-CRC和GSE39582数据集进行基因表达分析.
- 应用加权基因共同表达网络分析 (WGCNA),网络构建和机器学习算法 (LASSO,SVM-RFE,随机森林) 来识别枢纽基因.
- 进行了亚型和存活分析,外部验证,qRT-PCR,西部斑块和铁死试验.
主要成果:
- 确定了14个IMRBP,包括7个枢纽RNA结合蛋白 (RBP) 基因:APEX1,BRCA1,DNMT1,EZH2,PTTG1,SND1和UHRF1.1.
- 在CRC中,APEX1的调控下降,而其他六个枢纽RBP基因的调控上升.
- 基于这些七个枢纽基因的诊断模型在多个数据集中显示出高精度 (AUC 0.818-0.924),并与铁亡抑制有关.
结论:
- 已识别的七个枢纽RBP基因代表了结直肠癌 (CRC) 的有希望的生物标志物.
- 这些基因提供了潜在的治疗点和对CRC病变发生的新见解.
- 进一步的功能验证和临床研究是转化应用的必要条件.
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