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Updated: Dec 26, 2025

Generation and Expansion of Primary, Malignant Pleural Mesothelioma Tumor Lines
Published on: April 21, 2022
Evaluation of soluble mesothelin-related peptides and MSLN genetic variability in asbestos-related diseases
Katja Goricar1, Viljem Kovac2,3, Metoda Dodic-Fikfak3,4
1Pharmacogenetics Laboratory, Institute of Biochemistry, Faculty of Medicine, University of Ljubljana, Ljubljana, Slovenia.
Abstract:
Background Asbestos exposure is associated with increased risk of several diseases, including malignant mesothelioma (MM). Cell surface glycoprotein mesothelin is overexpressed in MM and serum soluble mesothelin-related peptides (SMRP) were already proposed as a diagnostic or prognostic biomarker in MM. However, interindividual variability in serum SMRP levels limits the clinical usefulness. Our primary objective was to investigate the influence of MSLN rs1057147 on serum SMRP levels in asbestos-exposed subjects and patients with asbestos-related diseases as well as on survival in MM. Subjects and methods Among 782 asbestos-exposed subjects and patients with asbestos-related diseases, 154 had MM. Serum SMRP levels were determined using sandwich enzyme-linked immunosorbent assay. All subjects were genotyped for MSLN rs1057147 polymorphism using competitive allele-specific polymerase chain reaction. Nonparametric tests, logistic and Cox regression were used in statistical analysis to compare different subject groups. Results MM patients had significantly higher SMRP levels than all other subjects (p < 0.001). Compared to wild-type MSLN rs1057147 genotype, both heterozygotes and carriers of two polymorphic alleles had significantly higher SMRP levels among subjects without MM (p < 0.001), but not in MM patients (p = 0.424). If genotype information was included, specificity of SMRP increased from 88.5% to 92.7% for the optimal cutoff value. Overall survival was significantly shorter in MM patients carrying at least one polymorphic rs1057147 allele (HR = 1.72, 95% CI = 1.15-2.55, p = 0.008). Conclusions MSLN genetic variability affects serum SMRP levels and was associated with shorter survival of MM patients. Combination of genetic and serum factors could therefore serve as a better diagnostic or prognostic biomarker in MM patients.
Insights
Genetic variations in the MSLN gene influence serum levels of soluble mesothelin-related peptides (SMRP), a biomarker for malignant mesothelioma (MM). This genetic factor also impacts MM patient survival, suggesting combined biomarkers for improved diagnosis and prognosis.
Area of Science:
- Oncology
- Genetics
- Biomarkers
Background:
- Asbestos exposure increases malignant mesothelioma (MM) risk.
- Mesothelin (MSLN) is overexpressed in MM, with serum soluble mesothelin-related peptides (SMRP) as potential biomarkers.
- Interindividual variability in SMRP limits its clinical utility.
Purpose of the Study:
- To investigate the influence of the MSLN rs1057147 polymorphism on serum SMRP levels in asbestos-exposed individuals and MM patients.
- To assess the association between MSLN rs1057147 and survival in MM patients.
Main Methods:
- Genotyping of MSLN rs1057147 polymorphism in 782 asbestos-exposed subjects and patients with asbestos-related diseases (154 with MM).
- Serum SMRP levels measured by ELISA.
- Statistical analysis using nonparametric tests, logistic, and Cox regression.
Main Results:
- MM patients exhibited significantly higher SMRP levels than controls (p < 0.001).
- Subjects without MM showed higher SMRP with MSLN rs1057147 polymorphic alleles (p < 0.001), but this was not observed in MM patients (p = 0.424).
- Inclusion of genotype information improved SMRP specificity for MM diagnosis from 88.5% to 92.7%.
- MM patients with at least one rs1057147 polymorphic allele had significantly shorter survival (HR = 1.72, p = 0.008).
Conclusions:
- MSLN genetic variability impacts serum SMRP levels.
- MSLN rs1057147 polymorphism is associated with shorter survival in MM patients.
- Combining genetic factors with SMRP levels may enhance diagnostic and prognostic capabilities for MM.

