A Machine Learning Approach to Identify Patients With Resected Non-small-cell Lung Cancer With High Risk of Relapse

Status: Recruiting
Location: See location...
Intervention Type: Other
Study Type: Observational
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.

Eligibility
Participation Requirements
Sex: All
Minimum Age: 18
Healthy Volunteers: f
View:

• Patient with an early stage of non small cell lung cancer

• Indication of surgical resection

• Patient able to understand and give his consent

• Patient affiliated to the health insurance

Locations
Other Locations
France
Julien MAZIERES
RECRUITING
Toulouse
Contact Information
Primary
Julien MAZIERES, MD, PhD
mazieres.j@chu-toulouse.fr
0567771837
Time Frame
Start Date: 2023-03-30
Estimated Completion Date: 2026-10-30
Participants
Target number of participants: 60
Treatments
Resected early stage non small cell lung cancer
Early stage (IA-IIIA) resectable non small cell lung cancer patients receiving surgery
Sponsors
Leads: University Hospital, Toulouse

This content was sourced from clinicaltrials.gov