Predicting Lung Inflammation After Chemoradiotherapy and Immunotherapy for Non-Small Cell Lung Cancer
This study is looking for ways to predict lung inflammation (pneumonitis) in patients with non-small cell lung cancer (NSCLC) who are receiving chemotherapy and radiation (chemoradiotherapy) followed by immunotherapy with durvalumab. Researchers will collect blood, saliva, stool, and lung fluid samples, along with information from CT scans and lung function tests. The goal is to understand how these treatments affect your body and to identify early signs of pneumonitis. This information could help doctors treat side effects sooner and improve care for future patients. The study aims to enroll 150 participants and is currently observational, meaning it watches what happens to patients without assigning specific treatments.
- Study design
- This is an observational study that plans to enroll 150 participants. It is not specified if it's randomized or blinded.
- What's involved
- You would undergo collection of blood, saliva, stool, and bronchoalveolar lavage samples. You would also have CT scans and receive standard chemoradiotherapy and durvalumab treatment for up to 62 weeks.
- Compensation
- Not stated in the trial record.
- Follow-up
- The primary endpoint, development of pneumonitis, will be measured for up to 12 months.
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Predictive Biomarkers for Pneumonitis After Chemoradiotherapy and Immunotherapy in Patients With Non-small Cell Lung Cancer
At a glance
Conditions
Where it's being run
1 sites across 1 statesStudy leadership
- Ajay Sheshadri · PRINCIPAL_INVESTIGATOR · M.D. Anderson Cancer Center
Who to contact
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Do you actually qualify for this trial?
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Inclusion
What this trial measures
- Development of pneumonitis during chemoradiotherapy and immunotherapy for locally advanced non-small cell lung cancer (NSCLC)Up to 12 months
All possible pneumonitis events will be adjudicated by an expert committee including Dr. Altan, Dr. Sheshadri, an expert infectious disease doctor, and an expert thoracic radiologist. Logistic regression will be used to assess the association between the development of pneumonitis and covariates of interest. Will also use logistic regression to model the association between the development of immune checkpoint inhibitor (CPI)-related pneumonitis and separately the development of radiation related pneumonitis. Secondary analyses of the primary endpoint will include assessing the time to the development of pneumonitis. Cox regression models will be fit in a similar manner to assess the association with the same covariates.