title: Flow cytometric protein expression profiling as a systematic approach for developing disease-specific assays: identification of a chronic lymphocytic leukaemia-specific assay for use in rituximab-containing regimens.
abstract: Depletion of disease below the levels detected by sensitive minimal residual disease (MRD) assays is associated with prolonged survival in chronic lymphocytic leukaemia (CLL). Flow cytometric MRD assays are now sufficiently sensitive and rapid to guide the duration of therapy in CLL, but generally rely on assessment of CD20 expression, which cannot be accurately measured during and after therapeutic approaches containing rituximab. The aim of this study was to use analytical software developed for microarray analysis to provide a systematic approach for MRD flow assay development. Samples from CLL patients (n=49), normal controls (n=21) and other B-lymphoproliferative disorders (n=12) were assessed with a panel of 66 antibodies. The DNA-Chip analysis program was used to identify discriminating antibodies, with hierarchical cluster analysis to identify complementary combinations. An iterative process was used: increasing numbers of patients were assessed with smaller, more targeted antibody panels until a highly specific combination (CD81/CD22/CD19/CD5) was identified. This combination was as sensitive and specific as previously reported assays and potentially applicable to blood and marrow samples from patients treated with current therapeutic approaches including rituximab. This approach to the identification of disease-specific antibody combinations for MRD analysis is readily applicable to a variety of haematological disorders.
authors.affiliation: Haematological Malignancy Diagnostic Service (HMDS), Leeds Teaching Hospitals, Leeds, UK. andy.rawstron@hmds.org.uk
authors.forename: A C
authors.initials: AC
authors.lastname: Rawstron
authors.forename: R
authors.initials: R
authors.lastname: de Tute
authors.forename: A S
authors.initials: AS
authors.lastname: Jack
authors.forename: P
authors.initials: P
authors.lastname: Hillmen
mesh_terms: D000911:Antibodies, Monoclonal / Q000627:therapeutic use*; D058846:Antibodies, Monoclonal, Murine-Derived; D018951:Antigens, CD20 / Q000032:analysis; D016000:Cluster Analysis; D005434:Flow Cytometry; D006801:Humans; D015451:Leukemia, Lymphocytic, Chronic, B-Cell / Q000188:drug therapy* / Q000378:metabolism; D009363:Neoplasm Proteins / Q000032:analysis*; D018365:Neoplasm, Residual; D000069283:Rituximab
chemical_list: D000911:Antibodies, Monoclonal; D058846:Antibodies, Monoclonal, Murine-Derived; D018951:Antigens, CD20; D009363:Neoplasm Proteins; D000069283:Rituximab