机构地区:[1]Department of General Surgery,Key Laboratory of Research in Pancreatic Tumor,State Key Laboratory of Complex Severe and Rare Disease,National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing,100730,China [2]Department of Medical Research Center,State Key Laboratory of Complex Severe and Rare Disease,National Science and Technology Key Infrastructure on Translational Medicine in Peking Union Medical College Hospital,Peking Union Medical College Hospital,Chinese Academy of Medical Sciences&Peking Union Medical College,Beijing,100730,China [3]Department of Medicine,Oncology,and Surgery,Johns Hopkins University School of Medicine,Baltimore,MD,21224,USA [4]Pancreas center,Tianjin Medical University Cancer Institute and Hospital,Tianjin,300060,China
出 处:《Signal Transduction and Targeted Therapy》2023年第11期5444-5453,共10页信号转导与靶向治疗(英文)
基 金:This work was supported by grants National Key R&D Program of China(No.2020YFC2002702);National High Level Hospital Clinical Research Funding(2022-PUMCH-D-001);Beijing Natural Science Foundation(No.7224340);the Fundamental Research Funds for the Central Universities(No.3332022006);the Non-profit Central Research Institute Fund of Chinese Academy of Medical Sciences(2018PT32014).
摘 要:Pancreatic cystic neoplasms(PCNs)are recognized as precursor lesions of pancreatic cancer,with a marked increase in prevalence.Early detection of malignant PCNs is crucial for improving prognosis;however,current diagnostic methods are insufficient for accurately identifying malignant PCNs.Here,we utilized mass spectrometry(MS)-based glycosite-and glycoform-specific glycoproteomics,combined with proteomics,to explore potential cyst fluid diagnostic biomarkers for PCN.The glycoproteomic and proteomic landscape of pancreatic cyst fluid samples from PCN patients was comprehensively investigated,and its characteristics during the malignant transformation of PCN were analyzed.Under the criteria of screening specific cyst fluid biomarkers for the diagnosis of PCN,a group of cyst fluid glycoprotein biomarkers was identified.Through parallel reaction monitoring(PRM)-based targeted glycoproteomic analysis,we validated these chosen glycoprotein biomarkers in a second cohort,ultimately confirming N-glycosylated PHKB(Asn-935,H5N2F0S0;Asn-935,H4N4F0S0;Asn-935,H5N4F0S0),CEACAM5(Asn-197,H5N4F0S0)and ATP6V0A4(Asn-367,H6N4F0S0)as promising diagnostic biomarkers for distinguishing malignant PCNs.These glycoprotein biomarkers exhibited robust performance,with an area under the curve ranging from 0.771 to 0.948.In conclusion,we successfully established and conducted MS-based glycoproteomic analysis to identify novel cyst fluid glycoprotein biomarkers for PCN.These findings hold significant clinical implications,providing valuable insights for PCN decision-making,and potentially offering therapeutic targets for PCN treatment.
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