An Assessment of Novel Biomarkers in Bone Metastatic Disease Using Multiplex Measurement and Multivariate Analysis
Jazyk angličtina Země Spojené státy americké Médium print
Typ dokumentu časopisecké články, práce podpořená grantem
PubMed
30343636
PubMed Central
PMC6198393
DOI
10.1177/1533033818807466
Knihovny.cz E-zdroje
- Klíčová slova
- biomarkers, bone metastasis, cancer, multivariate analysis, scintigraphy,
- MeSH
- dospělí MeSH
- kohortové studie MeSH
- kosti a kostní tkáň metabolismus patologie MeSH
- lidé středního věku MeSH
- lidé MeSH
- multivariační analýza MeSH
- nádorové biomarkery metabolismus MeSH
- nádory kostí metabolismus patologie sekundární MeSH
- osteonektin metabolismus MeSH
- radioisotopová scintigrafie metody MeSH
- růstový diferenciační faktor 15 metabolismus MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- Check Tag
- dospělí MeSH
- lidé středního věku MeSH
- lidé MeSH
- mužské pohlaví MeSH
- senioři nad 80 let MeSH
- senioři MeSH
- ženské pohlaví MeSH
- Publikační typ
- časopisecké články MeSH
- práce podpořená grantem MeSH
- Názvy látek
- nádorové biomarkery MeSH
- osteonektin MeSH
- růstový diferenciační faktor 15 MeSH
AIM: Current diagnostics of bone metastatic disease is not satisfactory for early detection or regular process monitoring. The combination of biomarkers and the multiparametric approach was described as effective in other oncology diagnoses. The aim of the study was to improve the difference diagnostics between bone-metastatic disease and solid tumors using mutivariate logistic regression model. METHODS: We assessed the group of 131 patients with the following diagnoses: prostate cancer, breast cancer, lung cancer, and colorectal cancer. According to the results of scintigraphy, the cohort was divided into 2 groups based on the occurrence of bone metastases. Group 0 was a control group of 75 patients with no signs of bone metastases and group 1 included 56 patients with bone metastases. RESULTS: We used stepwise selection multivariate logistic regression for choosing the multimarker formula for calculation of risk score for bone metastases diagnostics. For detection of bone metastasis, it was shown to be most effective measurement of 3 biomarkers: procollagen type 1 N-terminal propeptide, growth differentiation factor-15, and osteonectin and combining with calculation of risk score by designating measured concentrations in mathematical formula: bone risk score = procollagen type 1 N-terminal propeptide × 0.0500 + growth differentiation factor-15 × 1.4179 + osteonectin × 0.00555. CONCLUSION: We identified growth differentiation factor-15 as the best individual marker for bone metastasis diagnostics. The best formula for risk score includes levels of 3 biomarkers-procollagen type 1 N-terminal propeptide, growth differentiation factor-15, and osteonectin. The new score has better performance described by higher area under the curve than individual biomarkers. A further study is necessary to confirm these findings incorporating a larger number of patients.
Biomedical Center Faculty of Medicine in Pilsen Charles University Plzen Czech Republic
Osteocenter 2nd Internal Clinic University Hospital Pilsen Pilsen Czech Republic
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