基于端粒的风险模型用于早期诊断肺癌
Sonia Molina-Pinelo1,2,3, Irene Ferrer Sánchez3,4, Pilar Najarro5
1Department de Medical Oncology, University Hospital Virgen del Rocío, Sevilla, Spain.
Heliyon
|January 6, 2025
概括
周围血液淋巴细胞中的短端粒可能有助于早期发现肺癌. 端粒相关变量分析显示,改善高风险个体的查是有前途的,具有高预测价值.
科学领域:
- 在瘤学瘤学.
- 生物标志物 生物标志物
- 遗传学 是一个遗传学.
背景情况:
- 高风险人群的肺癌查需要改进的诊断工具.
- 端粒长度是细胞衰老和疾病风险的潜在指标.
研究的目的:
- 评估端粒长度测量作为早期肺癌查的诊断生物标志物.
- 评估端粒相关变量 (TAV) 在肺癌检测预测模型中的有用性.
主要方法:
- 对233名接受肺癌诊断的患者进行前性研究.
- 使用在外周血液淋巴细胞上高通量光 in situ 杂交的端粒分析.
- 使用随机森林和接收器操作特征曲线开发预测模型.
主要成果:
- 与对照组相比,患有肺癌的患者表现出较高比例的短端粒.
- 一个基于TAV的预测模型在肺癌预测方面实现了0.98%的AUC,0.60的积极预测值和0.99的负预测值.
结论:
- 在外围淋巴细胞中,与端粒相关的变量分析显示了作为高风险患者肺癌查的诊断工具的潜力.
- 基于TAV的模型可能会提高当前查途径的预测准确性,这需要进一步的临床整合研究.
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