Protein profiling in pathology: Analysis and evaluation of 239 frozen tissue biopsies for diagnosis of B-cell lymphomas
| Autor: | Joop van Baarlen, Konnie M. Hebeda, Pieter J. Westenend, Jos Rijntjes, Patricia J. T. A. Groenen, Jos W. R. Meijer, Ton Feuth, Corine Jansen, John M. M. Raemaekers, Johan H. J. M. van Krieken |
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| Rok vydání: | 2010 |
| Předmět: |
Pathology
medicine.medical_specialty Lymphoma B-Cell Chronic lymphocytic leukemia Clinical Biochemistry Protein Array Analysis Follicular lymphoma Lymphoma Mantle-Cell Logistic regression Molecular epidemiology [NCEBP 1] Translational research [ONCOL 3] hemic and lymphatic diseases medicine Humans Clinical significance Lymphoma Follicular B cell Hyperplasia business.industry medicine.disease Leukemia Lymphocytic Chronic B-Cell Neoplasm Proteins Lymphoma Logistic Models medicine.anatomical_structure Spectrometry Mass Matrix-Assisted Laser Desorption-Ionization Mantle cell lymphoma Lymph Nodes Lymphoma Large B-Cell Diffuse business |
| Zdroj: | Proteomics Clinical Applications, 4, 5, pp. 519-27 Proteomics Clinical Applications, 4, 519-27 |
| ISSN: | 1862-8346 |
| Popis: | Contains fulltext : 89589.pdf (Publisher’s version ) (Closed access) PURPOSE: We determined the potential value of protein profiling of tissue samples by assessing how precise this approach enables discrimination of B-cell lymphoma from reactive lymph nodes, and how well the profiles can be used for lymphoma classification. EXPERIMENTAL DESIGN: Protein lysates from lymph nodes (n=239) from patients with the diagnosis of reactive hyperplasia (n=44), follicular lymphoma (n=63), diffuse large B-cell lymphoma (n=43), mantle cell lymphoma (n=47), and chronic lymphocytic leukemia/small lymphocytic B-cell lymphoma (n=42) were analysed by SELDI-TOF MS. Data analysis was performed by (i) classification and regression tree-based analysis and (ii) binary and polytomous logistic regression analysis. RESULTS: After internal validation by the leave-one-out principle, both the classification and regression tree and logistic regression classification correctly identified the majority of the malignant (87 and 96%, respectively) and benign cases (73 and 75%, respectively). Classification was less successful since approximately one-third of the cases of each group were misclassified according to the histological classification. However, an additional mantle cell lymphoma case that was misclassified as chronic lymphocytic leukemia/small lymphocytic B-cell lymphoma initially was identified based on the protein profile. CONCLUSIONS AND CLINICAL RELEVANCE: SELDI-TOF MS protein profiling allows for reliable identification of the majority of malignant lymphoma cases; however, further validation and testing robustness in a diagnostic setting is needed. 01 mei 2010 |
| Databáze: | OpenAIRE |
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