title: Evaluation of a low density DNA microarray for small B-cell non-Hodgkin lymphoma differential diagnosis.
abstract: Lymphomas are classified according to the World Health Organisation (WHO) classification which defines subtypes on the basis of clinical, morphological, immunophenotypic, molecular and cytogenetic criteria. Differential diagnosis of the subtypes is sometimes difficult, especially for small B-cell lymphoma (SBCL). Standardisation of molecular genetic assays using multiple gene expression analysis by microarrays could be a useful complement to the current diagnosis. The aim of the present study was to develop a low density DNA microarray for the analysis of 107 genes associated with B-cell non-Hodgkin lymphoma and to evaluate its performance in the diagnosis of SBCL. A predictive tool based on Fisher discriminant analysis using a training set of 40 patients including four different subtypes (follicular lymphoma n = 15, mantle cell lymphoma n = 7, B-cell chronic lymphocytic leukemia n = 6 and splenic marginal zone lymphoma n = 12) was designed. A short additional preliminary analysis to gauge the accuracy of this signature was then performed on an external set of nine patients. Using this model, eight of nine of those samples were classified successfully. This pilot study demonstrates that such a microarray tool may be a promising diagnostic approach for small B-cell non-Hodgkin lymphoma.
authors.affiliation: Research Unit of Cellular Biology (URBC), University of Namur (FUNDP, Namur, Belgium. gilletjp@mail.nih.gov
authors.forename: Jean-Pierre
authors.initials: JP
authors.lastname: Gillet
authors.forename: Thierry Jo
authors.initials: TJ
authors.lastname: Molina
authors.forename: Jacques
authors.initials: J
authors.lastname: Jamart
authors.forename: Philippe
authors.initials: P
authors.lastname: Gaulard
authors.forename: Karen
authors.initials: K
authors.lastname: Leroy
authors.forename: Josette
authors.initials: J
authors.lastname: Briere
authors.forename: Ivan
authors.initials: I
authors.lastname: Theate
authors.forename: Catherine
authors.initials: C
authors.lastname: Thieblemont
authors.forename: Andre
authors.initials: A
authors.lastname: Bosly
authors.forename: Michel
authors.initials: M
authors.lastname: Herin
authors.forename: Jacques
authors.initials: J
authors.lastname: Hamels
authors.forename: Jose
authors.initials: J
authors.lastname: Remacle
mesh_terms: D001185:Artificial Intelligence; D003937:Diagnosis, Differential; D020869:Gene Expression Profiling / Q000379:methods*; D015972:Gene Expression Regulation, Neoplastic; D006801:Humans; D015451:Leukemia, Lymphocytic, Chronic, B-Cell / Q000175:diagnosis / Q000235:genetics; D016393:Lymphoma, B-Cell / Q000145:classification / Q000175:diagnosis* / Q000235:genetics; D018442:Lymphoma, B-Cell, Marginal Zone / Q000175:diagnosis / Q000235:genetics; D008224:Lymphoma, Follicular / Q000175:diagnosis / Q000235:genetics; D020522:Lymphoma, Mantle-Cell / Q000175:diagnosis / Q000235:genetics; D020411:Oligonucleotide Array Sequence Analysis; D010865:Pilot Projects; D012334:RNA, Neoplasm / Q000032:analysis / Q000302:isolation & purification
chemical_list: D012334:RNA, Neoplasm