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Prospectively Predict the Efficacy of Treatment of Gastrointestinal Tumors Based on Peripheral Multi-omics Liquid Biopsy

Conditions
Immunotherapy
Advanced Gastric Adenocarcinoma
Interventions
Device: EV-array
Registration Number
NCT04993378
Lead Sponsor
Shen Lin
Brief Summary

To vertify the function of EV-score on predicting \& monitoring immunotherapeutic outcomes of GC

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.

Recruitment & Eligibility

Status
UNKNOWN
Sex
All
Target Recruitment
40
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 & Design

Study Type
OBSERVATIONAL
Study Design
Not specified
Arm && Interventions
GroupInterventionDescription
GC patients receiving immunotherapyEV-array-
Primary Outcome Measures
NameTimeMethod
EV-ScoreEV-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

Secondary Outcome Measures
NameTimeMethod
Survival significance of EV-Scoreup to 3 years

Analysis patients' survival with different EV-Score.

Trial Locations

Locations (1)

Peking University Cancer Hospital & Institute

🇨🇳

Beijing, China

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