- ICH GCP
- US Clinical Trials Registry
- Clinical Trial NCT04993378
Prospectively Predict the Efficacy of Treatment of Gastrointestinal Tumors Based on Peripheral Multi-omics Liquid Biopsy
A Clinical Study Initiated by Investigator:Prospectively Predict the Efficacy of Precise Treatment of Gastrointestinal Tumors Based on Peripheral Blood Multi-omics Liquid Biopsy
Study Overview
Status
Conditions
Intervention / Treatment
Detailed Description
Our previous work identified four plasma EV-derived proteins and combined them to generate a signature score that robustly predicting immunotherapeutic outcomes at baseline and dynamically monitoring disease progressions along with the whole treatment.
Hence in this stuty, we plan to recruit a prospective cohort to support our conclusions, and provide possible method to realize predicting and monitoring immunotherapeutic outcomes of GC.
Study Type
Enrollment (Anticipated)
Contacts and Locations
Study Locations
-
-
-
Beijing, China
- Recruiting
- Peking University Cancer Hospital & Institute
-
Contact:
- lin shen, MD
- Phone Number: (86)10-88196175
- Email: lin100@medmail.com.cn
-
Sub-Investigator:
- cheng zhang, PhD
-
Sub-Investigator:
- xiaotian zhang, MD
-
-
Participation Criteria
Eligibility Criteria
Ages Eligible for Study
Accepts Healthy Volunteers
Genders Eligible for Study
Sampling Method
Study Population
Description
Inclusion Criteria:
- Having signed informed consent
- Age≥ 18 years old
- Histologically confirmed gastric adenocarcinoma
- Unresectable recurrent or metastatic disease
- Measurable disease according to the RECIST criteria
- Life expectancy of ≥3 month
- No prior chemotherapy of the study more than 4 weeks
- Immunotherapy regimens were included in the treatment
Exclusion Criteria:
- Other previous malignancy within 5 year
- Surgery (excluding diagnostic biopsy) within 4 weeks prior to study
- Pregnancy or lactation period
- Legal incapacity
Study Plan
How is the study designed?
Design Details
Cohorts and Interventions
Group / Cohort |
Intervention / Treatment |
---|---|
GC patients receiving immunotherapy
|
Collect peripheral blood sample of 40 gastric cancer patients pre-treatment. Blood samples will be transferred to central lab to detect EV-score by EV-array. Tumor response evaluation will be performed after two cycles of chemotherapy by CT/MRI based on RECIST. Clinical data, including tumor stage, metastastic organ, regimen, objective response, progression free survival, overall survival, etc, will be collected according to study protocol. |
What is the study measuring?
Primary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
EV-Score
Time Frame: EV-Score was detected, analysis and reported at the baseline of the treatment.
|
EV-Score was calculated by the expression level of four tumor-associated proteins on plasma EV
|
EV-Score was detected, analysis and reported at the baseline of the treatment.
|
Secondary Outcome Measures
Outcome Measure |
Measure Description |
Time Frame |
---|---|---|
Survival significance of EV-Score
Time Frame: up to 3 years
|
Analysis patients' survival with different EV-Score.
|
up to 3 years
|
Collaborators and Investigators
Sponsor
Study record dates
Study Major Dates
Study Start (Actual)
Primary Completion (Actual)
Study Completion (Anticipated)
Study Registration Dates
First Submitted
First Submitted That Met QC Criteria
First Posted (Actual)
Study Record Updates
Last Update Posted (Actual)
Last Update Submitted That Met QC Criteria
Last Verified
More Information
Terms related to this study
Additional Relevant MeSH Terms
Other Study ID Numbers
- CGOG-EV-1001
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
This information was retrieved directly from the website clinicaltrials.gov without any changes. If you have any requests to change, remove or update your study details, please contact register@clinicaltrials.gov. As soon as a change is implemented on clinicaltrials.gov, this will be updated automatically on our website as well.
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