Subject(s)
Flow Cytometry/methods , Wiskott-Aldrich Syndrome Protein/genetics , Wiskott-Aldrich Syndrome/diagnosis , Wiskott-Aldrich Syndrome/genetics , Child , Child, Preschool , Female , Humans , Infant , Infant, Newborn , Male , Mass Screening/methods , Sensitivity and Specificity , Wiskott-Aldrich Syndrome Protein/analysisABSTRACT
Primary hemophagocytic lymphohistiocytosis (HLH) can be caused by biallelic mutations in PRF1, encoding perforin, or UNC13D, STXBP2, STX11, RAB27A, LYST, and AP3B1, encoding proteins involved in cytotoxic lymphocyte degranulation. Natural killer (NK)-cell cytotoxicity assays can quickly screen for all of these genetic diseases, facilitating treatment, but combining NK-cell perforin expression and CD107a upregulation tests can as well. To determine the relative diagnostic accuracies for each approach, we retrospectively reviewed screening test performance in 1614 patients referred for HLH evaluation. For each test, we generated a receiver operating characteristic (ROC) curve, and calculated area under the curve (AUC) and diagnostic parameters at optimal threshold. We generated an AUC for combining perforin and CD107a tests by creating a logistic regression model and applying model-generated coefficients to patient values. Sensitivities of NK-cell function, perforin mean channel fluorescence (MCF), and CD107a MCF to detect biallelic mutations were 59.5%, 96.6%, and 93.8%, with specificities of 72.0%, 99.5%, and 73%. AUCs for NK-cell cytotoxicity, perforin MCF, CD107a MCF, and combined perforin and CD107a MCFs were 0.690, 0.971, 0.860, and 0.838. Perforin and CD107a tests are more sensitive and no less specific compared with NK cytotoxicity testing for screening for genetic HLH and should be considered for addition to current HLH criteria.
Subject(s)
Killer Cells, Natural/immunology , Lymphohistiocytosis, Hemophagocytic/diagnosis , Lysosomal-Associated Membrane Protein 1/metabolism , Perforin/metabolism , Adolescent , Adult , Aged , Cell Degranulation , Child , Child, Preschool , Cytotoxicity Tests, Immunologic , DNA Mutational Analysis , Female , Flow Cytometry , Genetic Testing , Humans , Infant , Infant, Newborn , Killer Cells, Natural/metabolism , Logistic Models , Lymphohistiocytosis, Hemophagocytic/genetics , Lymphohistiocytosis, Hemophagocytic/immunology , Male , Middle Aged , Mutation , Perforin/genetics , Retrospective Studies , Young AdultSubject(s)
Flow Cytometry/methods , Lymphohistiocytosis, Hemophagocytic/diagnosis , Mutation/genetics , Perforin/metabolism , Adolescent , Adult , Aged , Child , Child, Preschool , Female , Follow-Up Studies , High-Throughput Screening Assays , Humans , Infant , Infant, Newborn , Lymphohistiocytosis, Hemophagocytic/genetics , Lymphohistiocytosis, Hemophagocytic/metabolism , Male , Middle Aged , Perforin/genetics , Prognosis , ROC CurveABSTRACT
INTRODUCTION: X-linked lymphoproliferative disease is caused by mutations in two genes, SH2D1A and XIAP/BIRC4. Flow cytometric methods have been developed to detect the gene products, SAP and XIAP. However, there is no literature describing the accuracy of flow cytometric screening performed in a clinical lab setting. METHODS: We reviewed the clinical flow cytometric testing results for 656 SAP and 586 XIAP samples tested during a 3-year period. Genetic testing was clinically performed as directed by the managing physician in 137 SAP (21%) and 115 XIAP (20%) samples. We included these samples for analyses of flow cytometric test accuracy. RESULTS: SH2D1A mutations were detected in 15/137 samples. SAP expression was low in 13/15 (sensitivity 87%, CI 61-97%). Of the 122 samples with normal sequencing, SAP was normal in 109 (specificity 89%, CI 82-94%). The positive predictive values (PPVs) and the negative predictive values (NPVs) were 50% and 98%, respectively. XIAP/BIRC4 mutations were detected in 19/115 samples. XIAP expression was low in 18/19 (sensitivity 95%, CI 73-100%). Of the 96 samples with normal sequencing, 59 had normal XIAP expression (specificity 61%, CI 51-71%). The PPVs and NPVs were 33% and 98%, respectively. Receiver-operating characteristic analysis was able to improve the specificity to 75%. CONCLUSION: Clinical flow cytometric screening tests for SAP and XIAP deficiencies offer good sensitivity and specificity for detecting genetic mutations, and are characterized by high NPVs. We recommend these tests for patients suspected of having X-linked lymphoproliferative disease type 1 (XLP1) or XLP2.
Subject(s)
Flow Cytometry , Intracellular Signaling Peptides and Proteins/genetics , Lymphoproliferative Disorders/genetics , Mutation/genetics , X-Linked Inhibitor of Apoptosis Protein/genetics , Adolescent , Adult , Child , Child, Preschool , Humans , Infant , Infant, Newborn , Middle Aged , Predictive Value of Tests , Sensitivity and Specificity , Sequence Analysis, DNA , Signaling Lymphocytic Activation Molecule Associated Protein , Young AdultABSTRACT
INTRODUCTION: X-linked lymphoproliferative disease is caused by mutations in 2 genes, SH2D1A and XIAP/BIRC4. Flow cytometric methods have been developed to detect the gene products, SAP and XIAP. However, there is no literature describing the accuracy of flow cytometric screening performed in a clinical lab setting. METHODS: We reviewed the clinical flow cytometric testing results for 656 SAP and 586 XIAP samples tested during a three year period. Genetic testing was clinically performed as directed by the managing physician in 137 SAP (21%) and 115 XIAP (20%) samples. We included these samples for analyses of flow cytometric test accuracy. RESULTS: SH2D1A mutations were detected in 15/137 samples. SAP expression was low in 13/15 (sensitivity 87%, CI 61-97%). Of the 122 samples with normal sequencing, SAP was normal in 109 (specificity 89%, CI 82-94%). The positive and negative predictive values were 50% and 98%, respectively. XIAP/BIRC4 mutations were detected in 19/115 samples. XIAP expression was low in 18/19 (sensitivity 95%, CI 73-100%). Of the 96 samples with normal sequencing, 59 had normal XIAP expression (specificity 61%, CI 51-71%). The positive and negative predictive values were 33% and 98%, respectively. Receiver operating characteristic analysis was able to improve the specificity to 75%. CONCLUSION: Clinical flow cytometric screening tests for SAP and XIAP deficiencies offer good sensitivity and specificity for detecting genetic mutations, and are characterized by high negative predictive values. We recommend these tests for patients suspected of having XLP1 or XLP2. © 2014 Clinical Cytometry Society.
