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This study focuses on the discovery of protein biomarkers for the early diagnosis of gastric cancer and the development of corresponding detection methods. By employing advanced mass spectrometry-based proteomic technologies, the investigators conducted an in-depth analysis of a large cohort of clinical samples to identify specific protein biomarkers capable of accurately distinguishing gastric cancer patients from healthy individuals. The findings from this research are expected to facilitate the development of novel non-invasive or minimally invasive diagnostic approaches, thereby improving early detection, enhancing patient prognosis, and increasing survival rates.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Gastric cancer | Patients with histopathologically confirmed gastric cancer | ||
| Non Gastric Cancer | Healthy controls or patients with histologically confirmed precancerous gastric lesions that have not yet progressed to malignancy. |
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| Measure | Description | Time Frame |
|---|---|---|
| Diagnostic Performance of the Serum Protein Biomarker-Based Model for Gastric Cancer | Evaluation of the sensitivity and specificity of a diagnostic model constructed using key serum protein biomarkers for the early detection of gastric cancer. | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Predictive performance of the serum protein model for the progression risk from precancerous gastric lesions to gastric cancer | Predictive performance of the serum protein model for the progression risk from precancerous gastric lesions to gastric cancer, evaluated by prediction accuracy and area under the ROC curve (AUC). | 3 years |
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Inclusion Criteria
Gastric cancer patients enrolled in this study must meet all of the following criteria:
Patients with precancerous gastric lesions must meet all of the following criteria:
Healthy controls must meet all of the following criteria:
Exclusion Criteria
Patients meeting any of the following conditions will be excluded:
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The study recruits two main populations: patients with gastric cancer and non-gastric cancer participants. The latter group includes two subgroups: individuals with precancerous gastric lesions and healthy controls.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Zhaoqing Tang | Contact | +86 64041990 | tang.zhaoqing@zs-hospital.sh.cn |
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| ID | Term |
|---|---|
| D013274 | Stomach Neoplasms |
| D004194 | Disease |
| ID | Term |
|---|---|
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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Serum sample
| Predictive performance of the serum protein model for response to neoadjuvant therapy in gastric cancer |
Predictive performance of the serum protein model for response to neoadjuvant therapy in gastric cancer, assessed by prediction accuracy and AUC. |
| 3 years |
| Prognostic performance of the serum protein model in gastric cancer patients | Prognostic performance of the serum protein model in gastric cancer patients, measured by prediction accuracy and AUC. | 3 years |
| D004066 |
| Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D013272 | Stomach Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |