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Clinical Trial Summary

Multi-omics and Clinical Data Analysis is potential to predict the prognosis of lung cancer patients.


Clinical Trial Description

Lung cancer is the leading cause of cancer-related death in China. In order to improve prognosis of lung cancer as well as provide new therapeutic targets, the identification of effective biomarkers for the prognosis of lung cancer is of great significance. It has been reported that some small molecules such as lncRNA, circRNA and polypeptides in human plasm have good prospects in diagnosing or evaluating the stage of diseases. In this study, we planned to use multi-omics combined with clinical data to discovery some small molecules that are potential to predict the prognosis of lung cancer patients. In addition, we want to construct a new risk score model that provide a candidate model for prognostic evaluation of lung cancer. And we hope our study can provide insights for precision immunotherapy of lung cancer by exploring the differences in clinical characteristics, tumor mutation burden, and tumor immune cell infiltration between different risk score groups. ;


Study Design


Related Conditions & MeSH terms


NCT number NCT05010330
Study type Observational
Source RenJi Hospital
Contact Kaimin Mao, Doctor
Phone 86-15071027291
Email mkm444931158@126.com
Status Recruiting
Phase
Start date July 1, 2020
Completion date September 30, 2021

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