
Does selected immunological panel possess the value of predicting the prognosis of early-stage resectable non-small cell lung cancer?
Author(s) -
Xiaoshen Zhang,
Yayi He,
Keyi Jia,
Rafał Dziadziuszko,
Sha Zhao,
Juan Deng,
Hao Wang,
Fred R. Hirsch,
Caicun Zhou
Publication year - 2019
Publication title -
translational lung cancer research
Language(s) - English
Resource type - Journals
eISSN - 2226-4477
pISSN - 2218-6751
DOI - 10.21037/tlcr.2019.09.20
Subject(s) - medicine , stage (stratigraphy) , lung cancer , oncology , value (mathematics) , cancer , statistics , mathematics , paleontology , biology
The immune status in the tumor micro-environment of lung cancer is highly informative, and expression status of some biomarkers in the tumor micro-environment may have deep connected statistical characteristics which could indicate immune status and predict related clinical outcomes. In this study, a panel of 9 immune biomarkers are selected for their possible predictive value of clinical outcomes in early-stage resectable non-small cell lung cancer (NSCLC).