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  • Title: Performance of biomarkers SMRP, CA125, and CYFRA 21-1 as potential tumor markers for malignant mesothelioma and lung cancer in a cohort of workers formerly exposed to asbestos.
    Author: Gube M, Taeger D, Weber DG, Pesch B, Brand P, Johnen G, Müller-Lux A, Gross IM, Wiethege T, Weber A, Raithel HJ, Kraus T, Brüning T.
    Journal: Arch Toxicol; 2011 Mar; 85(3):185-92. PubMed ID: 20737138.
    Abstract:
    The aim of the study is to examine the cancer-predictive values of SMRP (soluble mesothelin-related peptides), CA125, and CYFRA21-1 as potential tumor markers for lung cancer and malignant mesothelioma in a cohort of workers formerly exposed to asbestos. A voluntary surveillance program has been established for German workers with former asbestos exposure. A subgroup of 626 subjects with a mean age of 63 years (range 53-70 years) at baseline was enrolled in an extended health examination program with high-resolution computer tomography (HRCT) of the chest and blood drawing between 1993 and 1997. Serum concentrations of SMRP, CA125, and CYFRA21-1 were measured in archived serum samples in 2005 and 2006. A mortality follow-up was conducted through 2007. So far, 12 cases with lung cancer and 20 cases with malignant mesothelioma have been observed in this cohort. The average time between sample collection and diagnosis was 4.7 years. Analyzed biomarkers showed low sensitivities (5-25%) and positive predictive values (4-30%) for both cancer sites. Marker combinations resulted in sensitivities between 5 and 50% and positive predictive values ranging from 3 to 14%. Even in those cases, where biomarker concentrations were available within 36 months before diagnosis, no trend for increasing biomarker levels was observed. The analyzed tumor markers were characterized by high specificities, but low sensitivities. SMRP, CA125, and CYFRA21-1 alone or in combination were less suitable to serve as predictors for the diagnosis of lung cancer or malignant mesothelioma. However, a prospective study with annual sampling might reveal a better predictive value of these markers.
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