通过生物信息学和机器学习揭示结直肠癌和COVID-19中共享的分子标记物和机制
Hairui Wang1,2, Haodong Yao2,3, Wenchao Niu2
1School of Science, China University of Geosciences, Xueyuan Road 29, Haidian District, Beijing 100083, China.
Briefings in bioinformatics
|February 23, 2026
概括
结肠直肠癌 (CRC) 和2019年冠状病毒疾病 (COVID-19) 分享免疫失调路径. 一项计算研究确定了四个关键基因 (GPR15,PTGDR2,FCER1A,MAL) 和潜在的治疗性E-4031.
科学领域:
- 在瘤学瘤学.
- 免疫学 免疫学 免疫学
- 计算生物学 计算生物学
背景情况:
- 结肠直肠癌 (CRC) 和2019年冠状病毒疾病 (COVID-19) 显示出免疫调节失调.
- 之前的研究缺乏多层次数据来阐明共享的分子机制.
- 了解这些共同的途径对于开发新的治疗策略至关重要.
研究的目的:
- 确定CRC和COVID-19之间共享的分子机制和监管途径.
- 确定关键基因和参与常见病理生理学的分子参与者.
- 发现两种疾病的潜在治疗点.
主要方法:
- 集成批量转录和单细胞数据使用协同计算框架.
- 采用差异表达分析,加权基因共同表达网络和用于特征选择的机器学习.
- 使用网络分析算法构建了一个集成的转录因子-microRNA-目标网络.
主要成果:
- 确定了31个共享的枢纽基因的核心分子特征,其中4个候选基因 (GPR15,PTGDR2,FCER1A,MAL) 显著下调.
- 这些基因的下调与受损的CD8+ T细胞透相关.
- 发现了潜在的调节驱动因素,包括p53上调和miR-3619-5p下调,并确定了E-4031作为潜在的治疗剂.
结论:
- 在CRC和COVID-19中发现了一个共享的监管轴,涉及免疫抑制和转录破坏.
- 突出了四个核心基因作为潜在的诊断和治疗目标.
- 建议E-4031作为进一步调查治疗CRC和COVID-19的有希望的候选人.
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