整合与维生素D相关的临床和转录基因资料,以提高使用CatBoost算法在宫癌复发中的无疾病生存率.
Geeitha Senthilkumar1, Renuka Pitchaimuthu1, Seshathiri Dhanasekaran2
1Department of Information Technology, M. Kumarasamy College of Engineering, Thalavapalayam, Karur 639113, Tamil Nadu, India.
Diagnostics (Basel, Switzerland)
|July 12, 2025
概括
较高的维生素D水平与减少宫癌复发和改善生存率相关. 这项研究强调了维生素D.
科学领域:
- 在瘤学瘤学.
- 分子生物学分子生物学
- 遗传学 是一个遗传学.
背景情况:
- 宫癌复发是一个重大的临床挑战.
- 长非编码RNAs (lncRNAs) 在癌症复发中起作用.
- 维生素D在宫癌复发中的调节作用需要调查.
研究的目的:
- 调查维生素D在宫癌复发中的调节作用.
- 为了确定 lncRNAs 在这个过程中的参与.
- 分析临床数据,查看维生素D水平与患者结果之间的相关性.
主要方法:
- 使用GEO数据集GSE267715进行CaSki细胞的转录组分析.
- 机器学习模型的应用 (CatBoost,LightGBM,额外树,物流回归).
- 使用的特征选择方法 (ANOVA F-test,相互信息,Chi-squared,RFE) 和性能指标 (准确性,精度,回忆,ROC AUC).
主要成果:
- 来自738名患者的临床数据显示,较高的血清维生素D与较低的复发率和更好的无病生存率 (DFS) 相关.
- CatBoost模型实现了95.27%的精度,0.9930的ROC AUC,0.9296的精度和0.9706的回忆.
- 鉴定了由维生素D调节的特定基因,可以防止宫癌复发.
结论:
- 维生素D在治疗宫癌复发方面显示出治疗潜力.
- lncRNAs成为宫癌复发的潜在治疗标.
- 这项研究为涉及维生素D和lncRNAs的新疗法提供了基础.
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