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Urinary N1, N12-diacetylspermine is a non-invasive marker for the diagnosis and prognosis of non-small-cell lung cancer.
- Source :
- British Journal of Cancer; 11/17/2015, Vol. 113 Issue 10, p1493-1501, 9p, 3 Charts, 3 Graphs
- Publication Year :
- 2015
-
Abstract
- <bold>Background: </bold>Early detection of non-small-cell lung cancer (NSCLC) and accurate prognostic risk assessment could improve patient outcome. We examined the significance of urinary N(1), N(12)-diacetylspermine (DiAcSpm) in the detection and prognostic stratification of NSCLC patients.<bold>Methods: </bold>A DiAcSpm/cutoff ratio (DASr) was established for 260 NSCLC patients, 99 benign lung disease patients, and 140 healthy volunteers, using colloidal gold aggregation methods. The DASr was compared between patients and healthy controls, and the prognostic significance of DASr was examined.<bold>Results: </bold>The median urinary DASr of NSCLC patients was significantly higher than that of healthy controls (0.810 vs 0.534, P<0.001). The DASr was higher in squamous cell carcinoma (SqCC) patients than in adenocarcinoma patients (1.18 vs 0.756, respectively, P=0.039). An increased urinary DASr value was significantly associated with pathological stage, other histological invasive factors and unfavourable outcomes in patients with completely resected NSCLC. Multivariate Cox regression analysis showed that increased urinary DASr was an independent prognostic factor (hazard ratio=4.652, 95% confidence interval (CI), 2.092-10.35; P<0.001).<bold>Conclusions: </bold>Urinary DASr was significantly increased in NSCLC, especially in SqCC. Urinary DASr was an independent poor prognostic indicator in patients with completely resected NSCLC. The DASr could be a useful biomarker for detecting malignancies and predicting prognosis. [ABSTRACT FROM AUTHOR]
- Subjects :
- BIOMARKERS
NON-small-cell lung carcinoma
EARLY detection of cancer
ADENOCARCINOMA
DIAGNOSIS
PROGNOSIS
LUNG cancer diagnosis
AMINES
COMPARATIVE studies
CONFIDENCE intervals
LUNG cancer
LUNG tumors
RESEARCH methodology
MEDICAL cooperation
MULTIVARIATE analysis
PROBABILITY theory
REGRESSION analysis
RESEARCH
RESEARCH funding
STATISTICS
TUMOR markers
EVALUATION research
RECEIVER operating characteristic curves
Subjects
Details
- Language :
- English
- ISSN :
- 00070920
- Volume :
- 113
- Issue :
- 10
- Database :
- Complementary Index
- Journal :
- British Journal of Cancer
- Publication Type :
- Academic Journal
- Accession number :
- 110965872
- Full Text :
- https://doi.org/10.1038/bjc.2015.349