2019 Journal of oral pathology & m…

Prognostic value of serum liver enzymes in oral and oropharynx squamous cell carcinomas.

, , , , , , , , ,

Journal of oral pathology & medicine : official publication of the International Association of Oral Pathologists and the American Academy of Oral Pathology Vol. 48 (1) : 36-42 • Jan 2019

BACKGROUND: Serum liver enzymes, which catalyze relevant catabolic pathways, have been indicated to be diagnostic and prognostic tools for several malignant tumors. The correlation between serum liver enzymes levels and survival in patients with oral and oropharynx squamous cell carcinomas (OSCC) is still absent. Here, we conducted a study focusing on predictive value of serum liver enzymes in terms of prognosis in the patients. METHODS: A retrospective study including 134 OSCC patients from years 2009 to 2014 was performed to investigate the association between levels of pre-treatment serum liver enzymes, various clinical parameters and prognostic outcomes, which are overall survival (OS) and disease-free survival (DFS). Log-rank tests with Kaplan-Meier method were used to detect potential prognostic biomarkers. Multivariate analyses by Cox proportional hazards model were used to identify significant predictors of prognosis. RESULTS: Serum adenosine deaminase (ADA) level was associated with patients' OS and DFS by univariate analyses (P = 0.006 and P = 0.024, respectively). Multivariate analyses showed that higher serum ADA (>17.2 U/L) (P = 0.019) as well as positive lymph node status (P = 0.035) independently predicted worse OS of patients with OSCC. In addition, older age (>/=60 years) (P = 0.043) and positive lymph node status (P = 0.027) were independently prognostic parameters for poorer DFS. CONCLUSIONS: Pre-operative serum ADA levels may serve as a reliable independent prognostic predictor for OS in OSCC patients.

No clinical trial protocols linked to this paper

Clinical trials are automatically linked when NCT numbers are found in the paper's title or abstract.
PICO Elements

No PICO elements extracted yet. Click "Extract PICO" to analyze this paper.

Paper Details
MeSH Terms
+5 more
Associated Data

No associated datasets or code repositories found for this paper.

Related Papers

Related paper suggestions will be available in future updates.