Multiomics Tumor Evolution Model of NSCLC
- Conditions
- Non-small Cell Lung Cancer
- Registration Number
- NCT05352035
- Lead Sponsor
- Peking University People's Hospital
- Brief Summary
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.
- Detailed Description
Lung cancer is the leading cause of cancer-related death globally. Non-small cell lung cancer (NSCLC) accounts for 85% of lung cancer and surgery is still the main treatment strategy. This study will 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.
Recruitment & Eligibility
- Status
- RECRUITING
- Sex
- All
- Target Recruitment
- 300
- Age ≥ 18 years old;
- Early-stage NSCLC patients underwent radical surgical resection;
- Sufficient tumor tissue and blood sample for study use;
- Available clinical-pathologic data, imaging data and follow-up date;
- Written informed consent.
- History of other malignant tumors;
- Evidence of distant metastasis before surgery;
- Insufficient tumor tissue or blood sample for study use;
- Clinical-pathologic data, imaging data or follow-up date is not available;
- Other judgments by the Investigator that the patient should not participate in the study.
Study & Design
- Study Type
- OBSERVATIONAL
- Study Design
- Not specified
- Primary Outcome Measures
Name Time Method Disease-free survival (DFS) Through study completion, an average of 2 years Time from randomization to disease recurrence or death from any cause.
Overall survival (OS) Through study completion, an average of 2 years Time from randomization to death from any cause.
- Secondary Outcome Measures
Name Time Method Relationship between translational biomarkers and clinical outcome Through study completion, an average of 2 years To evaluate if the translational biomarkers can be prediction tools for the clinical outcomes.
Trial Locations
- Locations (1)
Peking University People's Hospital
🇨🇳Beijing, China