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Correction of the NSE concentration in hemolyzed serum samples improves its diagnostic accuracy in small-cell lung cancer.

Authors :
Genet SAAM
Visser E
van den Borne BEEM
Soud MY
Belderbos HNA
Stege G
de Saegher MEA
Eduati F
Broeren MAC
van Dongen J
Brunsveld L
van de Kerkhof D
Scharnhorst V
Source :
Oncotarget [Oncotarget] 2020 Jul 07; Vol. 11 (27), pp. 2660-2668. Date of Electronic Publication: 2020 Jul 07 (Print Publication: 2020).
Publication Year :
2020

Abstract

Neuron-specific enolase (NSE) is a well-known biomarker for the diagnosis, prognosis and treatment monitoring of small-cell lung cancer (SCLC). Nevertheless, its clinical applicability is limited since serum NSE levels are influenced by hemolysis, leading to falsely elevated results. Therefore, this study aimed to develop a hemolysis correction equation and evaluate its role in SCLC diagnostics. Two serum pools were spiked with increasing amounts of hemolysate obtained from multiple individuals. A hemolysis correction equation was obtained by analyzing the relationship between the measured NSE concentration and the degree of hemolysis. The equation was validated using intentionally hemolyzed serum samples, which showed that the correction was accurate for samples with an H-index up to 30 μmol/L. Correction of the measured NSE concentration in patients suspected of lung cancer caused an increase in AUC and a significantly lower cut-off value for SCLC detection when compared to uncorrected results. Therefore, a hemolysis correction equation should be used to correct falsely elevated NSE concentrations. Results of samples with an H-index above 30 μmol/L should not be reported to clinicians. Application of the equation illustrates the importance of hemolysis correction in SCLC diagnostics and questions the correctness of the currently used diagnostic cut-off value.<br />Competing Interests: CONFLICTS OF INTEREST The authors declare no conflicts of interest.

Details

Language :
English
ISSN :
1949-2553
Volume :
11
Issue :
27
Database :
MEDLINE
Journal :
Oncotarget
Publication Type :
Academic Journal
Accession number :
32676167
Full Text :
https://doi.org/10.18632/oncotarget.27664