Cancer genomics & proteomics · 2020
Putative Biomarkers for Malignant Pleural Mesothelioma Suggested by Proteomic Analysis of Cell Secretome.
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Lacerenza Serena, Ciregia Federica, Giusti Laura, Bonotti Alessandra, Greco Viviana, Giannaccini Gino, D'Antongiovanni Vanessa, Fallahi Poupak, Pieroni Luisa, Cristaudo Alfonso, Lucacchini Antonio, Mazzoni Maria Rosa, Foddis Rudy
Аннотация
BACKGROUND: Malignant pleural mesothelioma (MPM) a rare neoplasm linked to asbestos exposure is characterized by a poor prognosis. Soluble mesothelin is currently considered the most specific diagnostic biomarker. The aim of the study was to identify novel biomarkers by proteomic analysis of two MPM cell lines secretome.
MATERIALS AND METHODS: The protein patterns of MPM cells secretome were examined and compared to a non-malignant mesothelial cell line using two-dimensional gel electrophoresis coupled to mass spectrometry. Serum levels of candidate biomarkers were determined in MPM patients and control subjects.
RESULTS: Two up-regulated proteins involved in cancer biology, prosaposin and quiescin Q6 sulfhydryl oxidase 1, were considered candidate biomarkers. Serum levels of both proteins were significantly higher in MPM patients than control subjects. Combining the data of each receiver-operating characteristic analysis predicted a good diagnostic accuracy.
CONCLUSION: A panel of the putative biomarkers represents a promising tool for MPM diagnosis.
MATERIALS AND METHODS: The protein patterns of MPM cells secretome were examined and compared to a non-malignant mesothelial cell line using two-dimensional gel electrophoresis coupled to mass spectrometry. Serum levels of candidate biomarkers were determined in MPM patients and control subjects.
RESULTS: Two up-regulated proteins involved in cancer biology, prosaposin and quiescin Q6 sulfhydryl oxidase 1, were considered candidate biomarkers. Serum levels of both proteins were significantly higher in MPM patients than control subjects. Combining the data of each receiver-operating characteristic analysis predicted a good diagnostic accuracy.
CONCLUSION: A panel of the putative biomarkers represents a promising tool for MPM diagnosis.