title: Immunophenotyping of mature B-cell non Hodgkin lymphoma involving bone marrow and peripheral blood: critical analysis and insights gained at a tertiary care cancer hospital.
abstract: We evaluated the diagnostic utility of flow cytometry immunophenotyping in bone marrow aspirates and peripheral blood, in the assessment of mature B-cell non-Hodgkin lymphoma (MBNHL). We analyzed 356 cases of MBNHL received for immunophenotyping over a 4 year period. All cases were reviewed, correlated with biopsy specimen (lymph node and splenectomy). Discrepant cases were re-evaluated. Common subtypes included chronic lymphocytic leukemia (CLL) (243 cases, 68.5%), follicular lymphoma (30 cases, 8.5%), mantle cell lymphoma (20 cases, 5.5%), splenic marginal zone lymphoma (18 cases, 5%), hairy cell leukemia (18 cases, 5%). CD5+/CD23+ had a high positive predictive value (PPV) for diagnosing CLL whereas CD5+/CD23- had a high negative predictive value (NPV) for diagnosing mantle-cell lymphoma (MCL). Limited panel of 9 antibodies mainly CD19, CD5, CD23, CD10, FMC7, kappa, lambda, CD3 and CD20 help diagnose more than 92% of cases of MBNHL. Minimal diagnostic panels become important in countries with limited resources.
authors.affiliation: Department of Pathology, Tata Memorial Hospital, Mumbai, India. s_gujral@hotmail.com
authors.forename: Sumeet
authors.initials: S
authors.lastname: Gujral
authors.forename: Sunita Narayan
authors.initials: SN
authors.lastname: Polampalli
authors.forename: Y
authors.initials: Y
authors.lastname: Badrinath
authors.forename: Ashok
authors.initials: A
authors.lastname: Kumar
authors.forename: P G
authors.initials: PG
authors.lastname: Subramanian
authors.forename: Reena
authors.initials: R
authors.lastname: Nair
authors.forename: Sudeep
authors.initials: S
authors.lastname: Gupta
authors.forename: Manju
authors.initials: M
authors.lastname: Sengar
authors.forename: Chandralekha
authors.initials: C
authors.lastname: Nair
mesh_terms: D000293:Adolescent; D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000911:Antibodies, Monoclonal / Q000276:immunology; D015703:Antigens, CD / Q000032:analysis*; D000951:Antigens, Neoplasm / Q000032:analysis*; D001853:Bone Marrow / Q000473:pathology; D002173:Cancer Care Facilities; D002648:Child; D005260:Female; D005434:Flow Cytometry; D006023:Glycoproteins / Q000032:analysis; D006801:Humans; D016130:Immunophenotyping; D015994:Incidence; D015451:Leukemia, Lymphocytic, Chronic, B-Cell / Q000145:classification / Q000175:diagnosis / Q000453:epidemiology / Q000276:immunology / Q000473:pathology*; D008198:Lymph Nodes / Q000473:pathology; D016393:Lymphoma, B-Cell / Q000145:classification / Q000175:diagnosis / Q000453:epidemiology / Q000276:immunology / Q000473:pathology*; D008297:Male; D008875:Middle Aged; D012189:Retrospective Studies; D013154:Spleen / Q000473:pathology; D055815:Young Adult
chemical_list: D000911:Antibodies, Monoclonal; D015703:Antigens, CD; D000951:Antigens, Neoplasm; D006023:Glycoproteins; C112523:MS4A1 protein, human