Changhai Hospital
Shanghai, Shanghai Municipality, 200433, China
Location status: Recruiting
NCT Number: NCT05737953
The goal of this observational study is to test in patients with cystic tumor of pancreas. The main questions it aims to answer are:
Screening of molecular diagnostic markers for pancreatic cystic tumors by cfDNA methylation sequencing of pancreatic cystic fluid and proteomic assays to distinguish benign from malignant and mucinous/non-mucinous, correlate with pathological features, and find molecular features associated with the degree of malignancy.
Participants will Provide post-operative cyst fluid specimens.
Interested in participating?
Request Info18 year and older
All sexes
Observational
Shanghai, Shanghai Municipality, 200433, China
Location status: Recruiting
Patients with pancreatic cystic tumors were divided into control, mucinous tumor and non-mucinous tumor groups, and cfDNA molecules and protein molecules that were significantly altered between different groups were found by cfDNA methylation sequencing of pancreatic cystic fluid and proteomic detection techniques. Multi-omics analysis was performed to construct a more efficient molecular diagnostic marker model. Correlating models with pathological features to find molecular features associated with the degree of malignancy.
Healthy volunteers accepted: No
Only the study team can determine whether someone qualifies for participation.
Inclusion criteria
Exclusion criteria
Sequencing of cfDNA methylation and proteomic analysis of two sets of capsular fluid samples
Time frame: 2023-11-31
Identification of protein and circulating gene methylation species in cyst fluid and quantification of their concentrations using mass spectrometry. Characterize cfDNA methylation and proteomics of cyst fluid in patients with pancreatic cystic neoplasm (PCN).
Time frame: 2023-11-31
A machine learning approach was used to further screen for characteristically methylated cfDNA and proteins in PCN patients.Establishment of a diagnostic model for pancreatic cystic tumors.
Time frame: 2023-11-31
A machine learning approach was used to further screen for characteristically methylated cfDNA and proteins in PCN patients.To establish a model for the identification of mucinous and non-mucinous.
Time frame: 2023-11-31
A machine learning approach was used to further screen for characteristically methylated cfDNA and proteins in PCN patients.Development of a progression benign malignancy prediction model.
Contact information is provided by the study sponsor or research team.
Zhaoshen Li
Other
Construction of Molecular Diagnostic Marker Models for Pancreatic Cystic Tumors Based on CfDNA Methylation Sequencing and Proteomic Analysis of Pancreatic Cystic Fluid Samples
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