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The aim of this observational study is to comprehensively analyze the metabolites in plasma samples from gastric cancer patients using advanced mass spectrometry detection technology, in conjunction with both broad-spectrum and targeted metabolomics approaches. The goal is to construct a dedicated plasma metabolite database for gastric cancer patients. Simultaneously, we will delve into the exploration and validation of a series of metabolic biomarkers for early gastric cancer diagnosis. The objective is to establish a safer, more convenient, and more sensitive early screening method, thereby providing a reliable scientific foundation and critical evidence for improving the early diagnostic process for individuals at high risk of gastric cancer.
Firstly, a wide-targeted metabolomic measurement will be conducted on plasma samples from the discovery cohort to identify potential metabolite candidate markers and construct a gastric cancer patient-specific metabolite database with extensive metabolite information.
Secondly, a more precise targeted metabolomic measurement will be conducted in the modeling cohort. Bioinformatics methods will be used to conduct an in-depth analysis of a wide range of metabolite information to screen out metabolic marker combinations with high gastric cancer-specific diagnostic efficacy.
Ultimately, an external validation cohort will be introduced to validate these metabolic biomarkers, aiming to ensure reliability and stability across different patient populations.
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| Label | Type | Description | Intervention Names |
|---|---|---|---|
| Gastric cancer group | Patients diagnosed with gastric cancer, including early gastric cancer and advanced gastric cancer |
| |
| Non-gastric cancer group | Patients diagnosed with benign gastric diseases or healthy controls |
| Name | Type | Description | Arm Group Labels | Other Names |
|---|---|---|---|---|
| Gastric cancer | Other | Patients diagnosed with gastric cancer, including early gastric cancer and advanced gastric cancer |
|
| Measure | Description | Time Frame |
|---|---|---|
| Plasma metabolite content | The outcome will be tested by metabolomics detection technology based on mass spectrometry | Before receiving treatment for gastric cancer |
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Inclusion Criteria:
Exclusion Criteria:
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The study population included a range of subjects with gastric and non-gastric cancer, including patients with benign gastric disease and healthy controls, who were admitted to the main study center and other collaborating sub-center hospitals.
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| Name | Affiliation | Role |
|---|---|---|
| Li Min, Ph.D. | Beijing Friendship Hospital | Principal Investigator |
| Facility | Status | City | State | ZIP | Country | Contacts |
|---|---|---|---|---|---|---|
| Beijing Friendship Hospital, Capital Medical University | Beijing | China | ||||
| Cancer Hospital Chinese Academy of Medical Sciences |
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| ID | Term |
|---|---|
| D013274 | Stomach Neoplasms |
| ID | Term |
|---|---|
| D005770 | Gastrointestinal Neoplasms |
| D004067 | Digestive System Neoplasms |
| D009371 | Neoplasms by Site |
| D009369 | Neoplasms |
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Only metabolites will be detected and analyzed in this study.
| Beijing |
| China |
| Renmin Hospital of Wuhan University | Wuhan | China |
| Tongji Hospital, Tongji Medical College of HUST | Wuhan | China |
| D004066 |
| Digestive System Diseases |
| D005767 | Gastrointestinal Diseases |
| D013272 | Stomach Diseases |