Patients
Conditions
Brief summary
In this study, we will use high-throughput proteomics techniques to search for biomarkers of post-operative prognosis of pancreatic cancer in samples of patients who have been diagnosed with pancreatic cancer through bioinformatics analysis.
Detailed description
This study plan from the affiliated hospital of Qingdao university collected 20 cases of patients with pancreatic cancer pathological tissue samples and clinical data, including clinical diagnostic information, laboratory tests, imaging examination results and other information data), through high-throughput proteomic technology in pancreatic cancer pathological finding biomarkers, the bioinformatics analysis to explore the prognosis biomarkers.
Interventions
None listed
Sponsors
The Affiliated Hospital of Qingdao University
Study design
Observational model
CASE_ONLY
Time perspective
RETROSPECTIVE
Eligibility
Sex/Gender
ALL
Healthy volunteers
No
Inclusion criteria
* Patients of Chinese nationality, age and gender are not limited. * Pathologically confirmed pancreatic cancer patients. * Pathological specimens were archived tumor tissue samples after a diagnosis of pancreatic cancer. * Clinical diagnostic information was complete three months before sampling.
Exclusion criteria
* Patients with a second primary tumor.
Design outcomes
Primary
| Measure | Time frame | Description |
|---|---|---|
| Differentially expressed proteins in tumor and paracancer tissues | 180 Days | Two dimensional gel electrophoresis, mass spectrometry and other techniques were used to separate and compare pancreatic cancer tissues and normal adjacent tissues to search for differentially expressed proteins. |
Countries
China
Contacts
Primary ContactYu Cao, Doctor
Outcome results
None listed