Non-small Cell Lung Cancer Clinical Trial
Official title:
A Multiomics Study of Tumor Evolution Characteristics and Prognostic Model in Early-stage Non-small Cell Lung Cancer
The purpose of this study is to determine the evolutionary mechanism of early-stage non-small cell lung cancer and establish an accurate prognostic model and a recurrence monitoring system by multiomics analysis, which can be helpful for the individual and whole management of lung cancer patients and improve the overall prognosis.
Status | Not yet recruiting |
Enrollment | 300 |
Est. completion date | September 2026 |
Est. primary completion date | September 2024 |
Accepts healthy volunteers | No |
Gender | All |
Age group | 18 Years and older |
Eligibility | Inclusion Criteria: 1. Age = 18 years old; 2. Early-stage NSCLC patients underwent radical surgical resection; 3. Sufficient tumor tissue and blood sample for study use; 4. Available clinical-pathologic data, imaging data and follow-up date; 5. Written informed consent. Exclusion Criteria: 1. History of other malignant tumors; 2. Evidence of distant metastasis before surgery; 3. Insufficient tumor tissue or blood sample for study use; 4. Clinical-pathologic data, imaging data or follow-up date is not available; 5. Other judgments by the Investigator that the patient should not participate in the study. |
Country | Name | City | State |
---|---|---|---|
China | Peking University People's Hospital | Beijing |
Lead Sponsor | Collaborator |
---|---|
Peking University People's Hospital | Research Unit of Intelligence Diagnosis and treatment of early-stage non-small cell lung cancer, Chinese Academy of Medical Sciences |
China,
Type | Measure | Description | Time frame | Safety issue |
---|---|---|---|---|
Primary | Disease-free survival (DFS) | Time from randomization to disease recurrence or death from any cause. | Through study completion, an average of 2 years | |
Primary | Overall survival (OS) | Time from randomization to death from any cause. | Through study completion, an average of 2 years | |
Secondary | Relationship between translational biomarkers and clinical outcome | To evaluate if the translational biomarkers can be prediction tools for the clinical outcomes. | Through study completion, an average of 2 years |
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