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Research on a Risk Prediction Model for Lung Cancer Diagnosis Based on Multi-omics

Research on a Risk Prediction Model for Lung Cancer Diagnosis Based on Multi-omics

Status
Recruiting
Phases
Unknown
Study type
Observational
Source
ChiCTR
Registry ID
ChiCTR2500104216
Enrollment
Unknown
Registered
2025-06-12
Start date
2025-03-20
Completion date
Unknown
Last updated
2025-06-16

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Lung Cancer

Interventions

Observation group:None

Sponsors

Lung Cancer Center, West China Hospital, Sichuan University
Lead Sponsor

Eligibility

Sex/Gender
All
Age
40 Years to No maximum

Inclusion criteria

Inclusion criteria: 1. Adults over 40 years old; 2. Patients with any of the following high-risk factors: a history of smoking (>= 20 packs per year), a history of environmental or high-risk occupational exposure (such as asbestos, chromium, uranium, radon, etc.); coexisting chronic obstructive pulmonary disease, diffuse pulmonary fibrosis or a history of tuberculosis; a history of malignant tumors or a family history of lung cancer, especially a first-degree relative family history; 3. The maximum diameter of the nodule does not exceed 10mm; 4. No severe hematological abnormalities, such as severe anemia, leukopenia or thrombocytopenia, etc.

Exclusion criteria

Exclusion criteria: 1. Multiple nodules; 2. The nodule is a non lung derived metastatic tumor; 3. Patients with brain metastases; 4. Participants who have undergone surgical resection or any other anti-cancer treatment; 5. Pregnant or lactating women; 6. Patients with mental illness or poor compliance.

Design outcomes

Primary

MeasureTime frame
5-year incidence rate of lung cancer;5-year lung cancer mortality rate;Efficiency of risk prediction models;

Secondary

MeasureTime frame
Gene expression profile analysis results;Biological verification results;Performance of early detection kit for lung cancer;Comparison of research results;

Countries

China

Contacts

Public ContactYan Zhang

West China Hospital of Sichuan University

zhangyan915@126.com+86 189 8060 6909

Outcome results

None listed

Source: ChiCTR (via WHO ICTRP) · Data processed: Feb 4, 2026