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Multi-Omics Prediction of Radiation Lung Injury in Immunotherapy-Treated Lung Cancer Patients
Sponsor: HAN GUANG
Summary
This prospective study aims to develop a multi-omics-based predictive model for radiation pneumonitis in lung cancer patients receiving sequential immunotherapy and thoracic radiotherapy.
Official title: Multi-Omics Prediction of Radiation Pneumonitis Risk in Lung Cancer Patients After Immunotherapy and Thoracic Radiotherapy
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
160
Start Date
2026-08-15
Completion Date
2028-08-15
Last Updated
2026-08-03
Healthy Volunteers
No
Conditions
Interventions
No Intervention: Observational Cohort
This study involves collection of peripheral blood, urine, and stool samples from lung cancer patients who have received immunotherapy followed by thoracic radiotherapy. Samples are obtained at baseline prior to the initiation of radiotherapy for comprehensive multi-omics profiling, including genomic, transcriptomic, proteomic, and metabolomic analyses. No therapeutic intervention is administered as part of this study.
Locations (1)
Union Hospital, Tongji Medical College, Huazhong University of Science and Technology
Wuhan, Hubei, China