Computational Prediction and Experimental Validation of Gastric Cancer Associated Neoantigens
Study Overview
Status
Status
Conditions
Conditions
Intervention / Treatment
Intervention / Treatment
Detailed Description
Study Type
Study Type
Enrollment (Anticipated)
Enrollment
Contacts and Locations
Study Contact
Study Contact
- Name: Long Vo Duy
- Phone Number: +84.918133915
- Email: long.vd@umc.edu.vn
Study Locations
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-
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Ho Chi Minh City, Vietnam, 700000
- University Medical Center Ho Chi Minh City
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Participation Criteria
Eligibility Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Male or Female patients aged 15 years and older
- Diagnosed with advanced gastric cancer (T2-4b/N0-3/M0-1 stage, according to the eighth edition of the American Joint Committee on Cancer TNM (AJCC TNM) system)
- Treatment-Naive
- Not known for other concomitant cancers
- Provide written informed consent
Exclusion Criteria:
- Insufficient tumor tissues (less than 1 cm3)
- Unable to sign informed consent
- Underwent treatment
Study Plan
How is the study designed?
Design Details
- Observational Models: Cohort
- Time Perspectives: Prospective
What is the study measuring?
Primary Outcome Measures
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The neoantigen landscape of patients with gastric cancer
Time Frame: 3 months from the beginning of the study
|
The analysis of tumor DNA and RNA sequencing data will provide the mutational distribution of patients with gastric cancer, which could give rise to neoantigens.
Of those, neoantigens derived from hotspot mutations in Vietnamese gastric cancer patients will be identified.
|
3 months from the beginning of the study
|
Secondary Outcome Measures
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
|---|---|---|
|
The ratio of predicted neoantigens being presented by HLA-I
Time Frame: 6 months from the beginning of the study
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Computational pipelines will be employed to predict the pairing of neoantigens and HLA molecules.
Subsequently, the ratio of those predicted neoantigens will be validated by co-immunoprecipitation with anti-HLA antibodies and mass spectrometry analysis for their binding to corresponding HLA molecules.
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6 months from the beginning of the study
|
|
The ratio of predicted neoantigens being immunogenic.
Time Frame: 12 months from the beginning of the study
|
Immunoassays will be employed to identify neoantigens that could activate CD4 and CD8 T cells to kill tumor cells and serve as putative candidates for immunotherapy.
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12 months from the beginning of the study
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Collaborators and Investigators
Sponsor
Sponsor
Study record dates
Study Major Dates
Study Start (Anticipated)
Study Start
Primary Completion (Anticipated)
Primary Completion
Study Completion (Anticipated)
Study Completion
Study Registration Dates
First Submitted
First Submitted
First Submitted That Met QC Criteria
First Submitted That Met QC Criteria
First Posted (Actual)
First Posted
Study Record Updates
Last Update Posted (Actual)
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
- 62/GCN-HDDD
Plan for Individual participant data (IPD)
Plan to Share Individual Participant Data (IPD)?
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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