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This prospective clinical observational study aims to construct a metabolite database specifically for gastric cancer patients using metabolomics technology. It seeks to develop and validate metabolic biomarkers for early diagnosis, prognosis, and prediction of recurrence and metastasis in gastric cancer, thereby a establishing safe, convenient, and highly sensitive method for early screening and prognostic prediction.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Baseline | This group recruits healthy individuals which is intended to establish a metabolic biomarker baseline | ||
| GC | Gastric cancer group, which is study of interest |
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| Measure | Description | Time Frame |
|---|---|---|
| Overall survival | The time from the start of treatment to death due to any cause. | 3 years |
| Disease-Free Survival | Disease-Free Survival (DFS) refers to the length of time after primary treatment for a disease during which the patient remains free of certain signs or symptoms of the disease. It is typically measured from the start of treatment until the first recurrence or relapse of the disease. | 3 years |
| Measure | Description | Time Frame |
|---|---|---|
| Hazard Ratio | The hazard ratio is a measure of the relative risk of an event occurring in one group compared to another group. It is used to quantify the difference in the rate at which events occur between two groups, typically a treatment group and a control group. | 3 years |
| Positive Predictive Value |
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Inclusion Criteria:
**Healthy Controls:**
**Gastric Cancer:**
Exclusion Criteria:
**Healthy Controls:**
**Gastric Cancer:**
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Patients with gastric cancer and healthy individuals.
| Name | Role | Phone | Extension | |
|---|---|---|---|---|
| Jing Sun | Contact | +86-13524284622 | sj117788@rjh.com.cn |
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| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Ruijin hospital Shanghai Jiaotong University, School of Medicine , Shanghai, Shanghai 200025 | Recruiting | Shanghai | China |
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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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Peripheral blood samples and tumor tissue samples are collected accordingly.
The Positive Predictive Value (PPV) indicates how likely it is that a person actually has the disease if the test result is positive. |
| 3 years |
| Negative Predictive Value | The Negative Predictive Value (NPV) indicates how likely it is that a person does not have the disease if the test result is negative. | 3 years |
| Assessment of Important Metabolic Biomarkers | This outcome measure is intended to identify important metabolic biomarkers that are highly statistically associated with the prognosis of gastric cancer, such as OS, DFS, etc., given different time frames. | 3 years |
| Recurrence Rate | 3 years |
| Cancer-Related Mortality | 3 years |
| Time to Recurrence and Metastasis and Specific Sites | 3 years |
| Distant Metastasis Rate | 3 years |
| D004066 |
| Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D013272 | Stomach Diseases |
| D010335 | Pathologic Processes |
| D013568 | Pathological Conditions, Signs and Symptoms |