A Multi-omics-based Metabolic Typing Study of Gastric Cancer
Clinical Study on Metabolic Typing of Gastric Cancer Based on Transcriptome, Metabolome and Other Multi-omics
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Study Type
Study Type
Enrollment (Estimated)
Enrollment
Contacts and Locations
Study Locations
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-
Zhejiang
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Hangzhou, Zhejiang, China
- Cancer Hospital of the University of Chinese Academy of Sciences (Zhejiang Cancer Hospital)
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-
Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
- Adult
- Older Adult
Accepts Healthy Volunteers
Sampling Method
Study Population
Description
Inclusion Criteria:
- 18≤age≤80
- Histologically or cytologically confirmed gastric cancer
- Undergo surgery for radical or palliative gastric cancer (both open and laparoscopic)
- Patients with survival follow-up information
Exclusion Criteria:
- Two or more kinds of malignant tumors at the same time
- Incomplete or missing case information
- Preoperative diagnosis of residual gastric cancer
Study Plan
How is the study designed?
Design Details
Number of groups / cohorts
Cohorts and Interventions
Group / CohortGroup / Cohort |
Intervention / TreatmentIntervention / Treatment |
|---|---|
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Cancer tissues
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There were no special interventions for the two groups.
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Normal adjacent tissues
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There were no special interventions for the two groups.
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What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The differences of the metabolism information
Time Frame: through study completion, an average of 6 months
|
The differences of the metabolism information between gastric cancer tissues and non-cancerous gastric cancer tissues.
These data included Metabolizing enzyme mRNA expression and metabolite content.
|
through study completion, an average of 6 months
|
Collaborators and Investigators
Sponsor
Sponsor
Publications and helpful links
General Publications
- Li S, Yuan L, Xu ZY, Xu JL, Chen GP, Guan X, Pan GZ, Hu C, Dong J, Du YA, Yang LT, Ni MW, Jiang RB, Zhu X, Lv H, Xu HD, Zhang SJ, Qin JJ, Cheng XD. Integrative proteomic characterization of adenocarcinoma of esophagogastric junction. Nat Commun. 2023 Feb 11;14(1):778. doi: 10.1038/s41467-023-36462-8.
- Shi W, Wang Y, Xu C, Li Y, Ge S, Bai B, Zhang K, Wang Y, Zheng N, Wang J, Wang S, Ji G, Li J, Nie Y, Liang W, Wu X, Cui J, Wang Y, Chen L, Zhao Q, Shen L, He F, Qin J, Ding C. Multilevel proteomic analyses reveal molecular diversity between diffuse-type and intestinal-type gastric cancer. Nat Commun. 2023 Feb 14;14(1):835. doi: 10.1038/s41467-023-35797-6.
- Wang J, Kunzke T, Prade VM, Shen J, Buck A, Feuchtinger A, Haffner I, Luber B, Liu DHW, Langer R, Lordick F, Sun N, Walch A. Spatial Metabolomics Identifies Distinct Tumor-Specific Subtypes in Gastric Cancer Patients. Clin Cancer Res. 2022 Jul 1;28(13):2865-2877. doi: 10.1158/1078-0432.CCR-21-4383.
Study record dates
Study Major Dates
Study Start (Actual)
Study Start
Primary Completion (Estimated)
Primary Completion
Study Completion (Estimated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Estimated)
First Posted
Study Record Updates
Last Update Posted (Estimated)
Last Update Posted
Last Update Submitted That Met QC Criteria
Last Update Submitted That Met QC Criteria
Last Verified
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
Other Study ID Numbers
- IRB-2023-935
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
IPD Plan Description
Drug and device information, study documents
Studies a U.S. FDA-regulated drug product
Studies a U.S. FDA-regulated device product
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