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A Machine Learning Approach to Identify Patients With Resected Non-small-cell Lung Cancer With High Risk of Relapse
Sponsor: University Hospital, Toulouse
Summary
Early-stage non small cell lung cancer represents 20-30% of all non small cell lung cancer and is characterized by a high survival probability after surgical resection. However, considering stage IA-IIIA non small cell lung cancer, a relapse rate of about 50% is observed, with a different survival probability on the basis of tumor node metastasis status, although patients within the same tumor node metastasis stage exhibit wide variations in recurrence rate. There are currently no validated prognostic biomarkers able to identify patients with a high risk of relapse.
Key Details
Gender
All
Age Range
18 Years - Any
Study Type
OBSERVATIONAL
Enrollment
60
Start Date
2023-03-30
Completion Date
2026-10-30
Last Updated
2023-09-21
Healthy Volunteers
No
Conditions
Interventions
Resected non small cell lung cancer
plasma sample, tissue sample and computed tomography scan images
Locations (1)
Julien MAZIERES
Toulouse, France