Construction and Evaluation of Tumor Immunotherapy and Organ Damage Early Warning System Based on Multi-omics
1 other identifier
observational
2,000
1 country
1
Brief Summary
This project is based on the in-depth analysis and integration of multi-omics data, including but not limited to genomics, transcriptomics, proteomics, and metabolomics. It aims to construct a comprehensive early-warning system for organ function damage in immune-related adverse events (irAEs) associated with immune checkpoint inhibitors (ICIs) during tumor immunotherapy. The core objective of this system is to enhance the overall safety and efficacy of tumor immunotherapy. First, the project leverages a database to mine the differential omics data of tumor immunotherapy patients with combined organ dysfunction (including combined and non-combined severe infections) within the scope of this project. By integrating biochemical indicators and related hemodynamic data, it constructs a risk early-warning system for organ damage in patients undergoing tumor immunotherapy, while verifying its clinical value and guiding significance. The specific contents mainly include: capturing specific molecules of organ damage in severe patients after tumor immunotherapy, screening genes, proteins, and metabolic products related to organ damage (including the heart, lungs, brain, liver, kidneys, gastrointestinal tract, etc.), and identifying new specific organ damage biomarkers under different pathogenic factors such as tumor immunotherapy, infections, and irAEs. It collects general clinical information, biochemical indicators, and hemodynamic indicators, and combines multi-omics data to establish an organ damage prediction model. Machine learning algorithms are used for optimization to construct an early-warning system. Model optimization within the system will be carried out, along with prospective clinical research and multi-dimensional verification. By evaluating the accuracy and cost-effectiveness of the model, it provides decision-making support for clinicians and promotes the development of personalized treatment.
Trial Health
Trial Health Score
Automated assessment based on enrollment pace, timeline, and geographic reach
participants targeted
Target at P75+ for all trials
Started Sep 2025
Typical duration for all trials
1 active site
Health score is calculated from publicly available data and should be used for screening purposes only.
Trial Relationships
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Study Timeline
Key milestones and dates
First Submitted
Initial submission to the registry
August 11, 2025
CompletedFirst Posted
Study publicly available on registry
August 19, 2025
CompletedStudy Start
First participant enrolled
September 15, 2025
CompletedPrimary Completion
Last participant's last visit for primary outcome
December 31, 2028
ExpectedStudy Completion
Last participant's last visit for all outcomes
January 1, 2029
March 23, 2026
July 1, 2025
3.3 years
August 11, 2025
March 19, 2026
Conditions
Keywords
Outcome Measures
Primary Outcomes (1)
Whether the patient has developed immune-related organ damage and the severity grade of such damage (if it occurs).
The severity of immune-related adverse events (irAEs) is graded in accordance with the Common Terminology Criteria for Adverse Events (CTCAE) Version 5.0, ranging from Grade 1 (mild symptoms) to Grade 5 (death).
1 month post - organ damage diagnosis
Secondary Outcomes (15)
Liver injury indicators :Total Bilirubin (TBIL)
1 month
Liver injury indicators :Aspartate Aminotransferase(AST)
1 month
Liver injury indicators :Alanine Aminotransferase(ALT)
1 month
Renal injury indicators: Creatinine (Cr)
1 month
Renal injury indicators: Neutrophil Gelatinase-Associated Lipocalin (NGAL)
1 month
- +10 more secondary outcomes
Study Arms (1)
Tumor Immunotherapy Cohort
Cancer patients receiving immune checkpoint inhibitors (ICIs). We observe their clinical course, collect organ function data, and perform multi - omics analysis to construct an organ damage early - warning system.
Interventions
For cancer patients receiving immune checkpoint inhibitors (ICIs), we conduct behavioral monitoring: collect blood, urine, and feces samples before medication and 7 days after medication for multi - omics analysis. Monitor organ function indicators at 24 hours, 72 hours, and 1 week post - medication. No interference with standard ICI treatment; focus on observational data collection to construct an organ damage early - warning system.
Eligibility Criteria
Cancer patients receiving immune checkpoint inhibitor therapy, excluding those with active autoimmune disease, severe organ dysfunction, or active infection, to evaluate organ damage early - warning signals.
You may qualify if:
- · Patients with cancer who are receiving immune checkpoint inhibitor treatment.
You may not qualify if:
- Active phase of severe autoimmune disease.
- Severe organ dysfunction.
- Presence of active infection.
- Pregnancy or lactation.
- Allergy to drug components.
Contact the study team to confirm eligibility.
Sponsors & Collaborators
Study Sites (1)
Fourth Hospital of Hebei Medical University
Shijiazhuang, Hebei, China
Biospecimen
Before medication administration and 7 days after medication administration, blood, urine, and feces of patients will be collected for multi - omics analysis.
MeSH Terms
Conditions
Interventions
Intervention Hierarchy (Ancestors)
Study Design
- Study Type
- observational
- Observational Model
- COHORT
- Time Perspective
- PROSPECTIVE
- Target Duration
- 48 Months
- Sponsor Type
- OTHER
- Responsible Party
- SPONSOR
Study Record Dates
First Submitted
August 11, 2025
First Posted
August 19, 2025
Study Start
September 15, 2025
Primary Completion (Estimated)
December 31, 2028
Study Completion (Estimated)
January 1, 2029
Last Updated
March 23, 2026
Record last verified: 2025-07
Data Sharing
- IPD Sharing
- Will not share
To protect the privacy of participants and ensure compliance with ethical guidelines, individual participant data (IPD) contains sensitive information such as medical history and biomarker details. At present, there are no plans to share IPD externally. If future sharing is considered, a formal review process including ethical approval and data de - identification will be implemented.