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Sci Rep ; 10(1): 20373, 2020 11 23.
Article in English | MEDLINE | ID: mdl-33230247

ABSTRACT

Fibulin-3 is an extracellular matrix glycoprotein widely expressed in various tissues. Tissue fibulin-3 expression have never been reported in association with prognosis of mesothelioma. Hence, we sought to determine the association between fibulin-3 expression and mesothelioma survival. We made a tissue microarray, which was comprised of cancer and normal tissue from mesothelioma patients (n = 82) during the period 1998-2017 in China. Fibulin-3 and HGMB1 expression were analyzed by immunohistochemistry method. Kaplan-Meier method and Cox proportional hazard models were used for analyzing survival data. Overall, 61 cases (74.4%) were female; 90.2% were of epithelioid type; the median overall survival time was 12.5 months. Fibulin-3 and HMGB1 were highly expressed in tumor tissue rather than adjacent tissue. The expression of fibulin-3 in tissue was correlated with that of HMGB1 (r = 0.32, P = 0.003). High expression of fibulin-3 in tumor tissue could predict poor survival in patients with mesothelioma (P = 0.02). This remained true in a multivariate model, with a significant hazard ratio of 1.91. We demonstrated that fibulin-3 in tumor tissue was a novel biomarker of poor survival of mesothelioma, suggesting it may be a relevant target for therapeutic intervention.


Subject(s)
Biomarkers, Tumor/genetics , Extracellular Matrix Proteins/genetics , Gene Expression Regulation, Neoplastic , HMGB1 Protein/genetics , Lung Neoplasms/genetics , Mesothelioma, Malignant/genetics , Adult , Aged , Aged, 80 and over , Asbestos/adverse effects , Biomarkers, Tumor/metabolism , Extracellular Matrix Proteins/metabolism , Female , HMGB1 Protein/metabolism , Humans , Kaplan-Meier Estimate , Lung Neoplasms/chemically induced , Lung Neoplasms/diagnosis , Lung Neoplasms/mortality , Male , Mesothelioma, Malignant/chemically induced , Mesothelioma, Malignant/diagnosis , Mesothelioma, Malignant/mortality , Microarray Analysis , Middle Aged , Prognosis , Proportional Hazards Models
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