A Study on Predictive Models and Clinical Outcome of Radiation Pneumonitis
- Conditions
- Radiation Pneumonitis
- Interventions
- Other: Blood Samples for Biomarkers
- Registration Number
- NCT05448703
- Lead Sponsor
- Huazhong University of Science and Technology
- Brief Summary
Radiation pneumonitis is the main dose-limiting toxicity of thoracic radiotherapy, which can affect life quality, survival, and the tumor-controlling effects of patients receiving thoracic radiotherapy.
The purpose of this study is to:
* Identify biomarkers including serum proteins, gene expression, genetic changes, and epigenetic modifications that determine radiation pneumonitis.
* Investigate the relationship between radiation pneumonitis and other toxicities induced by radiotherapy.
* Construct a predictive model for radiation pneumonitis.
* Evaluate survival and treatment outcome of patients with radiation pneumonitis.
- Detailed Description
1. Collect clinical information, CT images, and peripheral blood of the lung cancer patients treated with thoracic radiotherapy in Tongji Hospital, Hubei Cancer Hospital, and Jingjiang People's Hospital.
2. Follow up the enrolled patients. All patients enrolled in this study are examined during and one month after radiotherapy. Then, the patients are followed every three months for the first year and every six months thereafter. At each follow-up visits, all patients are asked to undergo a chest CT, and information including survival status, symptoms, CT images, and treatment is collected. Radiation pneumonitis and other toxicities induced by radiotherapy are graded by two radiation oncologists according to the Common Terminology Criteria for Adverse Events 4.0 (CTCAE4.0).
3. Detect serum proteins, gene expression profile, single-nucleotide polymorphisms, and epigenetic modifications that may be associated with radiation pneumonitis.
4. Screen biomarkers that are associated with radiation pneumonitis via univariate and multivariate Cox regression analysis.
5. Construct a predictive model of radiation pneumonitis based on clinical information, radiomics, and biomarkers via machine learning or Least absolute shrinkage and selection operator.
6. Use Kaplan-Meier and Cox model to analyze the association of radiation pneumonitis with survival and efficacy of antitumor treatment.
7. Identify biomarkers and predictors of other toxicities induced by radiotherapy including radiation esophagitis, cardiotoxicity and radiodermatitis.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 300
- Clinical diagnosis of lung cancer by histology
- Radiation dose at least 45 Gy
- Karnofsky >60
- Age>18
- Life expectancy of at least 6 months
- Previous thoracic irradiation
- Severe cardiopulmonary diseases
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Arm && Interventions
Group Intervention Description Group 1 Blood Samples for Biomarkers Lung cancer patients treated with thoracic radiotherapy
- Primary Outcome Measures
Name Time Method Overall Survival 5 years after radiotherapy A long-term follow up will be scheduled to allow a complete survival analysis.
Radiation pneumonitis 12 months after radiotherapy radiation pneumonitis grade \>=2 or 3 graded by CTCAE4.0. \[Time Frame: 12 months after radiotherapy\]
- Secondary Outcome Measures
Name Time Method Other injuries induced by radiotherapy 5 years after radiotherapy Assessment of other common injuries induced by thoracic radiotherapy including injuries in heart, skin, and esophagus according to CTCAE4.0.
Trial Locations
- Locations (3)
Hubei Cancer Hospital, Tongji Medical College, Huazhong University of Science and Technology
🇨🇳Wuhan, Hubei, China
Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology
🇨🇳Wuhan, Hubei, China
Jingjiang People' Hospital
🇨🇳Jingjiang, Jiangsu, China