通过血代谢学分析和预测肺癌的病理风险因素
Zixu Liu1, Ling Wang2, Shugeng Gao3
1Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Cancer Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, PR China; Department of Thoracic Surgery, National Cancer Center/National Clinical Research Center for Cancer/Hebei Cancer Hospital, Langfang, PR China.
代谢学发现了特定的代谢物,可以预测肺癌患者的病理风险因素的数量. 这一发现有助于确定手术前手术切除的程度.
科学领域:
- 在瘤学瘤学.
- 代谢学 代谢学 代谢学
- 生物标志物发现发现
背景情况:
- 肺癌的危险因素包括淋巴血管入侵 (LVI),通过空气空间传播 (STAS) 和围神经入侵 (PNI).
- 这些因素对于预测瘤复发和指导手术切除范围至关重要.
- 目前的方法缺乏有效的手术前评估这些病理风险因素.
研究的目的:
- 确定能够区分肺癌病理风险因素数量的代谢物.
- 评估已识别的代谢物的诊断性能.
主要方法:
- 根据病理风险因素的数量,肺癌患者被分为不同的群体.
- 进行了代谢分析,以选差异化代谢物.
- 用ROC曲线,灵敏度,特异性,科恩的卡帕和F1指数来评估诊断准确性.
主要成果:
- 在160名肺癌患者中,119人没有风险因素,24人有风险因素,17人有两种或更多的风险因素.
- 确定了5种表现出显著差异诊断能力的代谢物.
- 选择的代谢物在区分患者群体方面表现令人满意.
结论:
- 代谢学可以识别特定的代谢物,这些代谢物表明肺癌病理风险因素的数量.
- 这些代谢物生物标志物可以帮助在术前就肺切除的程度做出决定.
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