NCT04980352

Multi-dimensional Signatures for Precisely Predicting the Response and Prognosis of Lung Cancer Patients

• Status: Unknown
• Phase: —
• Study type: Observational
• Enrollment: 200 (estimated)
• Sponsor: Union Hospital, Tongji Medical College, Huazhong University of Science and Technology · Academic / Other
• Sex: All
• Age: 18 Years
• Healthy volunteers: Not accepted

Summary

This study aims to determine the clinical effectiveness of multi-dimensional signatures in predicting response and prognosis of lung cancer patients. The study is a multi-center perspective research of treatment planning for patients with lung cancer. To characterize clinical effectiveness, the progression-free survival (PFS) and overall survival (OS) impacts of multi-dimensional signatures will be estimated.

Detailed description

Multi-dimensional signatures, including NGS-based genotyping, and other essential detections such as immunohistochemistry (IHC), provides an opportunity to improve outcomes for patients by tailoring treatments to each individual's genomic profile. This is a multi-center single arm research study integrating multi-dimensional signatures into clinical decision-making for patients with lung cancer. The clinical effectiveness of multi-dimensional signatures is unknown in the real-world of clinics. To identify a counterfactual for Pred-lung approach, matching methods combined with administrative healthcare data will be used. The survival impacts of Pred-lung approach compared to usual care in matched controls will then be estimated.

Conditions

• Response
• Prognosis

Interventions

Type	Name	Description
OTHER	real world treatment by doctors	real world treatment by doctors

Timeline

• Start date: 2021-01-01
• Primary completion: 2023-12-30
• Completion: 2024-12-30
• First posted: 2021-07-28
• Last updated: 2021-07-28

Locations

1 site across 1 country: China