title: Correlation between apoptosis microarray gene expression profiling and histopathological lymph node lesions.
abstract: OBJECTIVE
  Microarray technology has recently led to the identification of molecular prognostic subgroups in non-Hodgkin's lymphomas. To determine the usefulness of ready made macroarrays as routine diagnostic tools in haematopathology, lymph node biopsies were analysed using a cDNA macroarray containing genes involved in apoptosis, including caspases.
  
  
  METHODS
  Nine biopsy specimens were analysed using total frozen tissues: four samples of B cell follicular lymphoma, two of B cell diffuse large cell lymphoma, and three of non-neoplastic lymph nodes from benign lymphadenitis. Nine cell populations were sorted from fresh tissues: malignant B cells from two patients with follicular lymphoma and two with diffuse large cell lymphoma, reactive B cells from two benign lymph nodes, reactive T cells from one benign lymph node, and virgin (mantle zone) B cells and germinal centre B cells from benign tonsils. Immunohistochemistry (IHC) on paraffin wax sections was performed for the localisation of caspases 2, 3, 4, 7, 8, and 9.
  
  
  RESULTS
  In the clustered array data, sorted cells from samples sharing common histological lesions were grouped together, whereas the array/histology correlation was less satisfactory for tissues. The expression profiles of both the array and IHC methods correlated for most caspases and samples.
  
  
  CONCLUSIONS
  Variations in array profiles of sorted cell populations can be associated with specific histological features, suggesting a possible diagnostic application of ready made apoptosis macroarrays in haematopathology.
authors.affiliation: INSERM U 119, Institut Paoli-Calmettes, IFR 57 and Université de la Méditerranée, Marseille, France.
authors.forename: J P
authors.initials: JP
authors.lastname: Dales
authors.forename: J
authors.initials: J
authors.lastname: Plumas
authors.forename: F
authors.initials: F
authors.lastname: Palmerini
authors.forename: E
authors.initials: E
authors.lastname: Devilard
authors.forename: T
authors.initials: T
authors.lastname: Defrance
authors.forename: A
authors.initials: A
authors.lastname: Lajmanovich
authors.forename: V
authors.initials: V
authors.lastname: Pradel
authors.forename: F
authors.initials: F
authors.lastname: Birg
authors.forename: L
authors.initials: L
authors.lastname: Xerri
mesh_terms: D017209:Apoptosis / Q000235:genetics*; D001706:Biopsy; D020169:Caspases / Q000235:genetics / Q000378:metabolism; D018076:DNA, Complementary / Q000235:genetics; D004273:DNA, Neoplasm / Q000235:genetics; D003937:Diagnosis, Differential; D015870:Gene Expression; D020869:Gene Expression Profiling / Q000379:methods*; D006801:Humans; D008199:Lymphadenitis / Q000175:diagnosis / Q000235:genetics / Q000473:pathology; D016393:Lymphoma, B-Cell / Q000175:diagnosis* / Q000201:enzymology / Q000473:pathology; D020411:Oligonucleotide Array Sequence Analysis / Q000379:methods*; D012333:RNA, Messenger / Q000235:genetics; D012334:RNA, Neoplasm / Q000235:genetics
chemical_list: D018076:DNA, Complementary; D004273:DNA, Neoplasm; D012333:RNA, Messenger; D012334:RNA, Neoplasm; D020169:Caspases