Multi-omics Based Prediction of Treatment Response to Immunotherapy Combined with Chemotherapy in Advanced Gastric/Gastroesophageal Junction Cancer.
NCT06642857 · Status: RECRUITING · Type: OBSERVATIONAL · Enrollment: 150
Last updated 2024-10-15
Summary
In this project, based on the information of advanced gastric/gastroesophageal junction cancer in evolution under immunotherapy combined with chemotherapy treatment, we will integrate multi-omics dynamic data to identify essential features that correlate to therapeutic effects of immunotherapy therapy, screen potential molecular markers/dominant microbiota for predicting the efficacy of immunotherapy and establish a multimodal predictive model for patients that benefit from immunotherapy. Our project could provide evidence to predict response to immunotherapy for patients with advanced gastric/gastroesophageal junction cancer and potentially optimize the clinical decision-making about therapy for advanced gastric/gastroesophageal junction cancer.
Conditions
- Advanced Gastric Carcinoma
- Advanced Gastroesophageal Junction Adenocarcinoma
Interventions
- OTHER
-
Peripheral blood, tougue coating, saliva, and feces
Peripheral blood, coating, saliva, and feces on the tongue and clinical data of patients with advanced gastric cancer patients who received chemotherapy combined with immunotherapy will be collected.
Sponsors & Collaborators
-
Xiangdong Cheng
lead OTHER
Eligibility
- Min Age
- 18 Years
- Max Age
- 75 Years
- Sex
- ALL
- Healthy Volunteers
- No
Timeline & Regulatory
- Start
- 2024-03-25
- Primary Completion
- 2026-02-01
- Completion
- 2026-02-01
Countries
- China
Study Locations
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