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Ex Vivo Interferon Gamma Production by Peripheral Immune Cells Predicts Survival in Lung Adenocarcinoma

 Sung Soo Ahn  ;  Minkyung Kwon  ;  Mindong Sung  ;  Seung Min Jung  ;  Sang-Won Lee  ;  Yong-Beom Park  ;  Sang Taek Kim  ;  Jason Jungsik Song 
 CLINICAL LUNG CANCER , Vol.20(3) : e299-e308, 2019 
Journal Title
Issue Date
Biomarker ; IFN-γ ; IFN-γ releasing assay ; Lung cancer ; Prognosis
BACKGROUND: Lung cancer is one of the most lethal malignancies, with a 5-year survival rate < 20% in patients with stage IV lung cancer. Impaired host immunity is associated with lung cancer pathogenesis, and interferon gamma (IFN-γ) plays an important role in antitumor immune surveillance. We evaluated the clinical significance of ex vivo production of IFN-γ in patients with lung adenocarcinoma.

PATIENTS AND METHODS: We reviewed the medical records of 109 treatment-naive patients with lung adenocarcinoma who had undergone IFN-γ releasing assay. Differences in the IFN-γ level in nil and mitogen tubes were defined as ex vivo IFN-γ production. Correlation analysis was performed to evaluate the correlation between ex vivo IFN-γ production, cancer staging, and Eastern Cooperative Oncology Group performance status. The optimal cutoff values of low and high ex vivo IFN-γ production were estimated using receiver operator characteristic curve analysis. Cox proportional hazard analyses were used to evaluate the prognostic factors of 1-year overall patient survival.

RESULTS: Ex vivo IFN-γ production correlated with N stage, M stage, cancer staging, and Eastern Cooperative Oncology Group performance status. Low ex vivo IFN-γ production (ex vivo IFN-γ production ≤ 7.79 IU/mL) was independently associated with 1-year overall survival (odds ratio = 3.289; 95% confidence interval, 1.573-6.872; P = .002). Additionally, low ex vivo IFN-γ production was an independent predictor of 1-year overall survival in patients with stage IV cancer (odds ratio = 3.156; 95% confidence interval, 1.473-6.760; P = .003).

CONCLUSION: Ex vivo IFN-γ production before treatment might be a useful biomarker for predicting prognosis in patients with lung adenocarcinoma.
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1. College of Medicine (의과대학) > Dept. of Internal Medicine (내과학교실) > 1. Journal Papers
1. College of Medicine (의과대학) > Yonsei Biomedical Research Center (연세의생명연구원) > 1. Journal Papers
Yonsei Authors
Kwon, Min Kyung(권민경)
Park, Yong Beom(박용범)
Song, Jason Jungsik(송정식) ORCID logo https://orcid.org/0000-0003-0662-7704
Ahn, Sung Soo(안성수) ORCID logo https://orcid.org/0000-0002-9002-9880
Lee, Sang-Won(이상원) ORCID logo https://orcid.org/0000-0002-8038-3341
Jung, SeungMin(정승민) ORCID logo https://orcid.org/0000-0003-3465-2181
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