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NCT Number: NCT07742800

Multi-Omics Prediction of Radiation Lung Injury in Immunotherapy-Treated Lung Cancer Patients

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.

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Key information

Age range

18 year and older

Sex eligibility

All sexes

Study type

Observational

Primary location

Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Wuhan, Hubei, 430079, China

Location contact

Guang Han

CONTACT

[email protected]

About this study

The combination of immune checkpoint inhibitors with thoracic radiotherapy has yielded substantial survival gains in lung cancer, yet this dual-modality strategy confers a markedly elevated risk of radiation pneumonitis, particularly when radiotherapy follows immunotherapy. To date, no validated biomarkers exist to stratify patients by this risk, constraining both individualized treatment planning and proactive surveillance. This prospective study addresses this unmet need by systematically collecting blood, urine, and stool samples from patients receiving sequential immunotherapy and thoracic radiotherapy. Employing integrative multi-omics platforms, including genomics, transcriptomics, proteomics, and metabolomics, we aim to discover novel molecular signatures capable of accurately predicting radiation pneumonitis susceptibility. Ultimately, by correlating multi-omic profiles with clinical outcomes, we seek to construct a clinically actionable prediction model to inform risk-adapted monitoring, facilitate patient-clinician shared decision-making, and enhance therapeutic safety and quality of life in this expanding patient population.

Who can participate

Healthy volunteers accepted: No

Only the study team can determine whether someone qualifies for participation.

Inclusion criteria

Patients aged 18 or older years with a life expectancy of at least 6 months. Additional inclusion criteria were a Zubrod performance status of 0-1, documentation of baseline chest computed tomography (CT) scans prior to the initiation of immunotherapy, receipt of at least 2 cycles of systemic therapy (PD-1) as either monotherapy or combination therapy within the past six months, voluntary participation with written informed consent, and appropriate baseline biochemical tests. The radiation dose for thoracic radiotherapy was ≥30Gy for all eligible patients in this study. No use of antibiotics within 1 week prior to the initiation of thoracic radiotherapy.

Exclusion criteria

Participation in other interventional clinical studies or treatments, having received investigational drugs or treatments within 4 weeks prior to the first dose, or prior receipt of a solid organ or hematopoietic stem cell transplant, having an active infection, or pre-existing/active ICI-induced pneumonitis.

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Treatment and study plan

No Intervention: Observational Cohort

Other

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.

Primary outcomes

  1. Area Under the Receiver Operating Characteristic Curve (AUC) of the Multi-Omics Prediction Model for Radiation Pneumonitis

    Time frame: At 6 months post-radiotherapy

    The area under the ROC curve (AUC) will be calculated to evaluate the predictive performance of a multi-omics-based model-integrating genomic, transcriptomic, proteomic, and metabolomic data-for distinguishing lung cancer patients who develop grade ≥2 radiation pneumonitis from those who do not, following sequential immunotherapy and thoracic radiotherapy. Model performance will be assessed using bootstrap internal validation with 1,000 resamples to estimate optimism-corrected AUC.

Study contacts

Contact information is provided by the study sponsor or research team.

Guang Han

CONTACT

[email protected]

027-87671663

Sponsors and collaborators

Lead sponsor

HAN GUANG

Other

Collaborators

  • Union Hospital, Tongji Medical College, Huazhong University of Science and Technology

Registry information

Official study title

Multi-Omics Prediction of Radiation Pneumonitis Risk in Lung Cancer Patients After Immunotherapy and Thoracic Radiotherapy

Important dates

Study start
2026
Primary completion
2028
Study completion
2028
First posted
Aug 3, 2026
Registry last updated
Aug 3, 2026

OpenTrials presents study information sourced from ClinicalTrials.gov. The official registry record should be consulted for the latest information.

View the official ClinicalTrials.gov record (opens in a new tab)

This listing is for discovery and informational purposes only. It is not medical advice, does not guarantee that a study is recruiting, and does not determine eligibility. Contact the study team and a qualified healthcare professional when considering participation.

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