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A Multiparametric Serum Kallikrein Panel for Diagnosis of Non–Small Cell Lung Carcinoma
Purpose: Human tissue kallikreins are a family of 15 secreted serine proteases. We have previously shown that the expression of several tissue kallikreins is significantly altered at the transcriptional level in lung cancer. Here, we examined the clinical value of 11 members of the tissue kallikrein...
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Published in: | Clinical cancer research 2008-03, Vol.14 (5), p.1355-1362 |
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Main Authors: | , , , , , , , |
Format: | Article |
Language: | English |
Subjects: | |
Citations: | Items that this one cites Items that cite this one |
Online Access: | Get full text |
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Summary: | Purpose: Human tissue kallikreins are a family of 15 secreted serine proteases. We have previously shown that the expression of several
tissue kallikreins is significantly altered at the transcriptional level in lung cancer. Here, we examined the clinical value
of 11 members of the tissue kallikrein family as potential biomarkers for lung cancer diagnosis.
Experimental Design: Serum specimens from 51 patients with non–small cell lung cancer (NSCLC) and from 50 healthy volunteers were collected. Samples
were analyzed for 11 kallikreins (KLK1, KLK4-8, and KLK10-14) by specific ELISA. Data were statistically compared and receiver
operating characteristic curves were constructed for each kallikrein and for various combinations.
Results: Compared with sera from normal subjects, sera of patients with NSCLC had lower levels of KLK5, KLK7, KLK8, KLK10, and KLK12,
and higher levels of KLK11, KLK13, and KLK14. Expression of KLK11 and KLK12 was positively correlated with stage. With the
exception of KLK5, expression of kallikreins was independent of smoking status and gender. KLK11, KLK12, KLK13, and KLK14
were associated with higher risk of NSCLC as determined by univariate analysis and confirmed by multivariate analysis. The
receiver operating characteristic curve of KLK4, KLK8, KLK10, KLK11, KLK12, KLK13, and KLK14 combined exhibited an area under
the curve of 0.90 (95% confidence interval, 0.87-0.97).
Conclusions: We propose a multiparametric panel of kallikrein markers for lung cancer diagnosis with relatively good accuracy. This model
requires validation with a larger series and may be further improved by addition of other biomarkers. |
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ISSN: | 1078-0432 1557-3265 |
DOI: | 10.1158/1078-0432.CCR-07-4117 |