Study on the Biological Prediction Models of Radiation Pneumonitis
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|ClinicalTrials.gov Identifier: NCT02490319|
Recruitment Status : Unknown
Verified July 2015 by Xianglin Yuan, Huazhong University of Science and Technology.
Recruitment status was: Recruiting
First Posted : July 3, 2015
Last Update Posted : July 10, 2015
|Condition or disease|
1. Establish a clinical data base for the lung cancer patients treated with radiotherapy in Tongji Hospital.
- Data including age, gender, smoking state, KPS, pulmonary function, disease history, histology, stage, surgery, chemotherapy, dosimetric parameters of radiotherapy were collected.
- Peripheral blood was collected from all patients enrolled.
- 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 X-ray or CT and clinical information, including symptoms, is collected. RP is graded by two radiation oncologists according to the Common Terminology Criteria for Adverse Events 4.0.
2. Select candidate genes and pathways which may be associated with radiation pneumonitis and identify their tagSNPs by Haploview.
3. Use Kaplan-Meier and Cox model to analyze the association of all the factors collected with radiation pneumonitis.
4. Establish a biological prediction models for radiation pneumonitis based on the statistics analysis.
|Study Type :||Observational|
|Estimated Enrollment :||300 participants|
|Official Title:||Study on the Biological Prediction Models of Radiation Pneumonitis|
|Study Start Date :||September 2008|
|Estimated Primary Completion Date :||July 2016|
Lung cancer patients treated with thoracic radiation therapy
- radiation pneumonitis grade >=2 or 3 [ Time Frame: 12 months after radiotherapy ]
Biospecimen Retention: Samples With DNA
To learn more about this study, you or your doctor may contact the study research staff using the contact information provided by the sponsor.
Please refer to this study by its ClinicalTrials.gov identifier (NCT number): NCT02490319
|Contact: Xianglin Yuan, MD, PhDfirstname.lastname@example.org|
|Contact: Yang Tang, MD, PhDemail@example.com|
|Department of Oncology, Tongji Hospital||Recruiting|
|Wuhan, Hubei, China, 430030|
|Contact: Xianglin Yuan, MD, PhD 13667241722 firstname.lastname@example.org|
|Contact: Yang Tang, MD, PhD 18627182062 email@example.com|
|Principal Investigator: Xianglin Yuan, MD, PhD|
|Sub-Investigator: Yang Tang, MD, PhD|
|Principal Investigator:||Xianglin Yuan, MD, PhD||Tongji Hospital of Tongji Medical College, Huazhong University of Science and Technology|