对BMI和基因表达的综合分析揭示了癌症进展的基础分子相互作用
Jie-Huei Wang1, Hui-Chen Lu1, Zih-Han Wu1
1Department of Mathematics, National Chung Cheng University, 621301 Chiayi, Taiwan.
Frontiers in bioscience (Landmark edition)
|September 8, 2025
概括
这项研究揭示了身体质量指数 (BMI) 如何影响癌症中的基因表达,识别了关键基因和相互作用. 这些发现为癌症发展提供了新的见解,并为与肥胖相关的癌症提供了潜在的治疗点.
科学领域:
- 基因组学就是基因组学.
- 癌症生物学 癌症生物学
- 生物信息学是一种生物信息学.
背景情况:
- 肥胖是一种慢性疾病,与各种健康问题有关,包括增加癌症风险.
- 高或低的体重指数 (BMI) 可以影响癌症风险和治疗结果.
- 这是一个很棒的节目,这是一个很棒的节目.
- 肥胖的悖论 肥胖的悖论
- 这表明更高的BMI有时可能在癌症中提供保护作用.
研究的目的:
- 利用癌症基因图谱 (TCGA) 数据,探索BMI和癌症中的基因表达之间的关系.
- 为了确定BMI和癌症进展之间的潜在联系.
- 发现肥胖相关癌症的潜在治疗点.
主要方法:
- 采用了两阶段重叠组查 (OGS) 方法.
- 用"grpregOverlap" R包和序列内核关联测试来确定基因组和相互作用.
- 预测模型是使用规范回归技术构建的,包括通用回归,拉索和自适应拉索.
主要成果:
- 基于OGS的方法,特别是OGS_G.ridge_ALasso,表现出比其他模型更好的预测性能和稳定性.
- 在TCGA癌症患者数据 (膀,宫,食道,肝癌) 中确定了与BMI相关的关键基因和基因-基因相互作用.
- 展示了说明这些相互作用的网络结构.
结论:
- 拟议的方法有效预测BMI相关的癌症基因表达模式.
- 确定了与BMI相关的基因和相互作用,作为癌症发展和预后的潜在生物标志物.
- 这项研究更深入地了解了将BMI与癌症联系在一起的生物机制.
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