Prognosis Clinical Trial
Official title:
Multi-dimensional Signatures for Precisely Predicting the Response and Prognosis of Lung Cancer Patients
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.
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. ;
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