Establish a Diagnostic Model Based on Multiple Molecule Profiling and Certain Established Markers for Identification of Pancreatic Cancer

EUS-FNA combined cytology detection is an important method for clinical diagnosis of squamous cell carcinoma. However, due to factors such as sampling method, smear making, staining technique, lower levels of the pathologists and other factors, its diagnostic sensitivity is still not very satisfactory. Poor diagnostic efficacy usually means another puncture, longer hospital stay, more medications and a higher incidence of adverse events. Missed diagnosis continuously directly delays the treatment time of the disease and seriously affects the patient's prognosis. Therefore, how to use new technologies to improve the differential diagnosis efficiency of benign and malignant pancreatic occupants is the key to improving the prognosis of diabetic cancer patients.

The portal vein blood comes from the venous tract, including the blood flowing from the plasma to the liver. By collecting blood samples from the patient's portal vein, clinicians can separate more information from the patient. Studies have shown that the portal vein blood can be collected by ultrasound endoscopic puncture. This method is less traumatic, convenient and safe, and more information about the retinal tissue can be obtained. It is an important way to improve the efficiency of patient diagnosis. This study intends to use ultrasound endoscopic puncture technology to obtain portal vein blood, and use big data and ctDNA, metabolomics, exosomes and other different omics methods to screen the potential value of volume-occupying benign and malignant differential diagnosis markers in portal vein blood. Peripheral blood will simultaneously be collected to evaluate the efficacy of these newly developed markers.