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Metabolic Tumor Volume Predicts Overall Survival in Patients with Primary Pulmonary Lymphoepithelioma-like Carcinoma

Overview
Journal Oncol Lett
Specialty Oncology
Date 2019 Dec 3
PMID 31788088
Citations 2
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Abstract

Pretreatment tumor metabolic burden, measured using fluorine-18 fluorodeoxyglucose positron emission tomography/computerized tomography (F-FDG PET/CT), has been demonstrated to predict outcomes in various types of malignancies. Additionally, Epstein-Barr virus (EBV) serum titer is associated with stages of pulmonary lymphoepithelioma-like carcinoma (LELC). The present study aimed to investigate the prognostic value of the functional parameters of F-FDG PET/CT in pulmonary LELC and their association with serum EBV DNA. The present retrospective study analyzed data from 71 patients with pulmonary LELC; among these, 32 patients with pulmonary LELC underwent pretreatment F-FDG PET/CT staging between January 2008 and December 2016. EBV viral load and functional parameters of F-FDG PET/CT were used for survival analysis. Multivariate analysis identified tumor stage IV as a significant predictor of poor progression-free survival [hazard ratio (HR), 4.85; P=0.049], whereas elevated total metabolic tumor volume (MTV ≥72.6 ml) independently predicted worse overall survival (OS; HR, 12.59; P=0.024). Pretreatment serum EBV DNA titer was significantly positively associated with total MTV (P=0.0337) and total lesion glycolysis (TLG; P=0.0093), but could not predict outcomes. Total MTV was an independent predictor of OS, and may guide clinical management for pulmonary LELC.

Citing Articles

Epidemiology and prognosis of lymphoepithelioma-like carcinoma: a comprehensive analysis of surveillance, epidemiology, and end results (SEER) database.

Qi W, Zhao S, Chen J Int J Clin Oncol. 2021; 26(7):1203-1211.

PMID: 33844112 DOI: 10.1007/s10147-021-01921-z.


The clinicopathological features and prognosis of primary pulmonary lymphoepithelioma-like carcinoma: A systematic review and meta-analysis.

Tang L, Chen N, He W, Zhou J, Zhang J, Lin Z PLoS One. 2020; 15(10):e0240729.

PMID: 33064745 PMC: 7567369. DOI: 10.1371/journal.pone.0240729.

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