基质辅助激光解吸电离飞行时间质谱分析在胰腺导管腺癌血清肽谱的发现和鉴定中的应用。
MALDI-TOF-MS Analysis in the Discovery and Identification of the Serum Peptide Pattern of Pancreatic Ductal Adenocarcinoma.
机构信息
Department of Clinical Laboratory, Peking Union Medical College Hospital, Dongcheng District, Beijing, China.
Department of Clinical Laboratory, Cancer Hospital, Chinese Academy of Medical Sciences, Chaoyang District, Beijing, China.
出版信息
Lab Med. 2021 Nov 2;52(6):558-566. doi: 10.1093/labmed/lmab024.
OBJECTIVE
To explore the application of serum peptidomics in the early diagnosis of pancreatic ductal adenocarcinoma (PDAC).
METHODS
The serum specimens from 176 patients with PDAC and 158 healthy control patients were subjected to matrix-assisted laser desorption ionization time-of-flight mass spectrometry to obtain serum peptide profiles. Next, a classification model by differentiated peptides was established and verified to distinguish the 2 groups. Finally, the peptides were identified by tandem mass spectrometry.
RESULTS
A classification model was established by 13 peptides. For patients with PDAC in the early stage, the sensitivity and specificity of the model reached 100% and 96.7%, respectively. The amino acid sequences of the 13 peptides were then determined and the types of proteins were identified, including platelet basic protein, fibrinogen alpha, complement C3, and secreted frizzled-related protein 4. Some of the 13 peptides could be potential PDAC biomarkers.
CONCLUSION
Serum peptidomics may have potential application in the early diagnosis of PDAC.
目的
探讨血清多肽组学在胰腺导管腺癌（PDAC）早期诊断中的应用。
方法
采用基质辅助激光解吸电离飞行时间质谱技术对 176 例 PDAC 患者和 158 例健康对照者的血清标本进行检测，获得血清多肽图谱。然后，建立并验证基于差异多肽的分类模型，以区分 2 组。最后，采用串联质谱法对多肽进行鉴定。
结果
通过 13 个多肽建立了一个分类模型。对于早期 PDAC 患者，该模型的灵敏度和特异性分别达到 100%和 96.7%。随后确定了这 13 个多肽的氨基酸序列，并鉴定了其蛋白质类型，包括血小板碱性蛋白、纤维蛋白原α、补体 C3 和分泌卷曲相关蛋白 4。其中一些多肽可能是潜在的 PDAC 生物标志物。
结论
血清多肽组学可能在 PDAC 的早期诊断中有一定的应用价值。
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