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A pilot study for colorectal carcinoma screening by instant metabolomic profiles using conductive polymer spray ionization mass spectrometry
Biochimica et Biophysica Acta (BBA) - Molecular Basis of Disease ( IF 4.2 ) Pub Date : 2021-07-09 , DOI: 10.1016/j.bbadis.2021.166210
Chao Li 1 , Kexin Li 2 , Xiaoyu Xu 2 , Wenyuan Qi 2 , Xin Hu 1 , Pengfei Jin 1
Affiliation  

Background

The rapid and accurate discrimination of colorectal carcinoma (CRC) and polyps at the molecular level enables early intervention of CRC, which can greatly improve the 5-year survival rate of patients. Here we reported the potential of conductive polymer spray ionization mass spectrometry (CPSI-MS) in successfully screening CRC according to the serum metabolic profile.

Methods

Trace intravenous blood (50 μL) was collected from 60 colorectal carcinoma (CRC) and 60 polyp patients, respectively. After centrifugation, serum (2 μL) was loaded onto the tip of conductive polymer to form a dried serum spot. When the 5 μL methanol-water (1:1, v/v) extraction solvent was spiked onto the dried serum spot followed with +4.5 kV high voltage applied on the polymer tip, the extracted components will be ionized and carried into the MS system for direct metabolic profiling.

Findings

There were 51 metabolites discovered to be significantly changed in CRC serum compared to polyps. Combining these metabolites as the characteristic panel, the ideal diagnostic performance was achieved by Lasso regression model with the accuracy of 88.3%.

Interpretation

This pilot study demonstrated the potential of CPSI-MS as a cost-effective tool in large-scale CRC screening in the high-risk population.



中文翻译:

使用导电聚合物喷雾电离质谱法通过即时代谢组学特征筛查结直肠癌的初步研究

背景

在分子水平上对结直肠癌(CRC)和息肉的快速准确鉴别,使结直肠癌的早期干预成为可能,可大大提高患者的5年生存率。在这里,我们报告了导电聚合物喷雾电离质谱 (CPSI-MS) 根据血清代谢特征成功筛查 CRC 的潜力。

方法

分别从 60 名结直肠癌 (CRC) 和 60 名息肉患者收集微量静脉血 (50 μL)。离心后,将血清 (2 μL) 加载到导电聚合物的尖端以形成干燥的血清点。当将 5 μL 甲醇-水 (1:1, v /v) 萃取溶剂加入到干燥的血清斑点上,然后在聚合物尖端上施加 +4.5 kV 高电压时,萃取的组分将被电离并带入 MS 系统用于直接代谢分析。

发现

与息肉相比,CRC 血清中发现 51 种代谢物发生显着变化。结合这些代谢物作为特征面板,Lasso 回归模型实现了理想的诊断性能,准确率为 88.3%。

解释

该试点研究证明了 CPSI-MS 作为高危人群大规模 CRC 筛查的经济高效工具的潜力。

更新日期:2021-08-05
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