Imaging mass spectrometry to discriminate breast from pancreatic cancer metastasis in formalin-fixed paraffin-embedded tissues

• Verfasst von: Casadonte, Rita [VerfasserIn]
• Verfasst von: Kriegsmann, Mark [VerfasserIn]
• Verfasst von: Zweynert, Friederike [VerfasserIn]
• Verfasst von: Friedrich, Katrin [VerfasserIn]
• Verfasst von: Bretton, Gustavo [VerfasserIn]
• Verfasst von: Otto, Mike [VerfasserIn]
• Verfasst von: Deininger, Sören-Oliver [VerfasserIn]
• Verfasst von: Paape, Rainer [VerfasserIn]
• Verfasst von: Belau, Eckhard [VerfasserIn]
• Verfasst von: Suckau, Detlev [VerfasserIn]
• Verfasst von: Aust, Daniela [VerfasserIn]
• Verfasst von: Pilarsky, Christian [VerfasserIn]
• Verfasst von: Kriegsmann, Jörg [VerfasserIn]
• Titel: Imaging mass spectrometry to discriminate breast from pancreatic cancer metastasis in formalin-fixed paraffin-embedded tissues
• Verf.angabe: Rita Casadonte, Mark Kriegsmann, Friederike Zweynert, Katrin Friedrich, Gustavo Bretton, Mike Otto, Sören-Oliver Deininger, Rainer Paape, Eckhard Belau, Detlev Suckau, Daniela Aust, Christian Pilarsky and Jörg Kriegsmann
• E-Jahr: 2014
• Jahr: 30 January 2014
• Umfang: 9 S.
• Fussnoten: Gesehen am 18.08.2020
• Titel Quelle: Enthalten in: Proteomics
• Ort Quelle: Weinheim : Wiley VCH, 2001
• Jahr Quelle: 2014
• Band/Heft Quelle: 14(2014), 7-8, Seite 956-964
• ISSN Quelle: 1615-9861
• DOI: doi:10.1002/pmic.201300430
• Datenträger: Online-Ressource
• Sprache: eng
• Sach-SW: Formalin-fixed paraffin-embedded
• Sach-SW: Imaging MS
• Sach-SW: MALDI
• Sach-SW: Metastasis
• Sach-SW: Technology
• Sach-SW: Tumor typing
• K10plus-PPN: 1727309561

Abstract

Diagnosis of the origin of metastasis is mandatory for adequate therapy. In the past, classification of tumors was based on histology (morphological expression of a complex protein pattern), while supportive immunohistochemical investigation relied only on few “tumor specific” proteins. At present, histopathological diagnosis is based on clinical information, morphology, immunohistochemistry, and may include molecular methods. This process is complex, expensive, requires an experienced pathologist and may be time consuming. Currently, proteomic methods have been introduced in various clinical disciplines. MALDI imaging MS combines detection of numerous proteins with morphological features, and seems to be the ideal tool for objective and fast histopathological tumor classification. To study a special tumor type and to identify predictive patterns that could discriminate metastatic breast from pancreatic carcinoma MALDI imaging MS was applied to multitissue paraffin blocks. A statistical classification model was created using a training set of primary carcinoma biopsies. This model was validated on two testing sets of different breast and pancreatic carcinoma specimens. We could discern breast from pancreatic primary tumors with an overall accuracy of 83.38%, a sensitivity of 85.95% and a specificity of 76.96%. Furthermore, breast and pancreatic liver metastases were tested and classified correctly.