Ignite Creation Date:
2024-10-25 @ 8:00 PM
Last Modification Date:
2024-10-26 @ 3:42 PM
Study NCT ID:
NCT06642857
Status:
RECRUITING
Last Update Posted:
None
First Post:
2024-09-19
Brief Title:
Multi-omics Based Prediction of Treatment Response to Immunotherapy Combined with Chemotherapy in Advanced GastricGastroesophageal Junction Cancer
Sponsor:
None
Organization:
None
Study Overview
Official Title:
Predicting Treatment Response to Immunotherapy Combined with Chemotherapy in Advanced Gastricgastroesophageal Junction Cancer Based on the Multi-omics Information During Tumor Evolution
Status:
RECRUITING
Status Verified Date:
2024-09
Last Known Status:
None
Delayed Posting:
No
If Stopped, Why?:
Not Stopped
Has Expanded Access:
No
If Expanded Access, NCT#:
N/A
Has Expanded Access, NCT# Status:
N/A
Acronym:
None
Brief Summary:
In this project based on the information of advanced gastricgastroesophageal 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 markersdominant 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 gastricgastroesophageal junction cancer and potentially optimize the clinical decision-making about therapy for advanced gastricgastroesophageal junction cancer
Detailed Description:
Main objective to extract and identify multi omics information tags related to the efficacy of immunotherapy for advanced gastric gastroesophageal junction cancer
Secondary objective to construct and validate the efficacy prediction model of chemotherapy combined with immunotherapy for gastric cancer in order to optimize the scheme decision of advanced gastric cancer treatment
Exploratory purpose to screen potential molecular markers dominant flora for predicting the efficacy of immunotherapy in patients with advanced gastric gastroesophageal junction cancer
Secondary objective to construct and validate the efficacy prediction model of chemotherapy combined with immunotherapy for gastric cancer in order to optimize the scheme decision of advanced gastric cancer treatment
Exploratory purpose to screen potential molecular markers dominant flora for predicting the efficacy of immunotherapy in patients with advanced gastric gastroesophageal junction cancer
Study Oversight
Has Oversight DMC:
None
Is a FDA Regulated Drug?:
None
Is a FDA Regulated Device?:
None
Is an Unapproved Device?:
None
Is a PPSD?:
None
Is a US Export?:
None
Is an FDA AA801 Violation?:
None