一个集成的蛋白质组分类器来区分良性和恶性肺结节
Bin Jia1, Tingting Wang2, Liangxuan Pan2
1Department of Oncology, the First Affiliated Hospital of Zhengzhou University, Zhengzhou, 450052, Henan, China.
Clinical proteomics
|April 6, 2025
概括
这项研究确定了血中的六种蛋白质面板,以区分良性和恶性肺结节. 这一发现为检测肺癌的新诊断试验提供了潜力.
科学领域:
- 蛋白质组学是指蛋白质组学.
- 生物标志物发现发现
- 质谱测量质量谱测量
背景情况:
- 肺结节很常见,区分良性和恶性类型对于肺癌患者的治疗结果至关重要.
- 目前的液体活检方法缺乏足够的灵敏度和特异性,无法用于临床应用.
研究的目的:
- 确定血蛋白生物标记物,以区分良性和恶性肺结节.
- 开发和验证用于肺结节分类的蛋白质签名.
主要方法:
- 使用数据独立获取 (DIA) 质谱法对185名患者进行等离子体蛋白质组量化.
- 用于生物标志物面板识别和验证的物流回归分析. 在三个队列中验证.
- 开发针对性多反应监测 (MRM) 试验,用于选择的量化.
主要成果:
- 一个由六种蛋白质组成的小组 (APOA4,CD14,PFN1,APOB,PLA2G7,IGFBP2) 在分类结节时被识别得非常准确.
- 该小组在发现和验证队列中表现出强的表现,具有高灵敏度和负预测值.
- 该小组的向LC-MS/MS量化产生了有希望的分类性能 (AUC~0.75).
结论:
- 一组血蛋白生物标志物被确定用于区分良性和恶性肺结节.
- 这些生物标志物有可能进一步发展成为临床上有价值的肺癌诊断试验.
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