Protein profiles distinguish stable and progressive chronic lymphocytic leukemia
Patients with a stable chronic lymphocytic leukemia (CLL) double their blood lymphocyte count in >5 years, but may develop progressive disease with lymphocytes doubling in <12 months. To identify a protein signature for progressive CLL, whole cell extracts of peripheral blood mononuclear cells...
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Published in | Leukemia & lymphoma Vol. 57; no. 5; pp. 1033 - 1043 |
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Main Authors | , , , , , , , , |
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Taylor & Francis
03.05.2016
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Abstract | Patients with a stable chronic lymphocytic leukemia (CLL) double their blood lymphocyte count in >5 years, but may develop progressive disease with lymphocytes doubling in <12 months. To identify a protein signature for progressive CLL, whole cell extracts of peripheral blood mononuclear cells from patients with CLL (n = 27) were screened using iTRAQ (isobaric tags for relative and absolute quantification) analysis. A total of 84 differentially abundant proteins were identified from patients with stable and progressive CLL. Subsequently, 32 of these proteins were quantified by SRM (selected reaction monitoring) using extracts of purified CD19
+
CLL cells from patients (n = 50). Hierarchical clustering of these protein profiles showed two clusters of patients that correlated with progressive and stable CLL, providing signatures that should be useful for triaging patients. Some of the proteins in the progressive cluster have not been linked with CLL, for example, glutamate dehydrogenase 1 and transcription intermediary factor 1-beta. |
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AbstractList | Patients with a stable chronic lymphocytic leukemia (CLL) double their blood lymphocyte count in >5 years, but may develop progressive disease with lymphocytes doubling in <12 months. To identify a protein signature for progressive CLL, whole cell extracts of peripheral blood mononuclear cells from patients with CLL (n = 27) were screened using iTRAQ (isobaric tags for relative and absolute quantification) analysis. A total of 84 differentially abundant proteins were identified from patients with stable and progressive CLL. Subsequently, 32 of these proteins were quantified by SRM (selected reaction monitoring) using extracts of purified CD19
+
CLL cells from patients (n = 50). Hierarchical clustering of these protein profiles showed two clusters of patients that correlated with progressive and stable CLL, providing signatures that should be useful for triaging patients. Some of the proteins in the progressive cluster have not been linked with CLL, for example, glutamate dehydrogenase 1 and transcription intermediary factor 1-beta. Patients with a stable chronic lymphocytic leukemia (CLL) double their blood lymphocyte count in >5 years, but may develop progressive disease with lymphocytes doubling in <12 months. To identify a protein signature for progressive CLL, whole cell extracts of peripheral blood mononuclear cells from patients with CLL (n=27) were screened using iTRAQ (isobaric tags for relative and absolute quantification) analysis. A total of 84 differentially abundant proteins were identified from patients with stable and progressive CLL. Subsequently, 32 of these proteins were quantified by SRM (selected reaction monitoring) using extracts of purified CD19+ CLL cells from patients (n=50). Hierarchical clustering of these protein profiles showed two clusters of patients that correlated with progressive and stable CLL, providing signatures that should be useful for triaging patients. Some of the proteins in the progressive cluster have not been linked with CLL, for example, glutamate dehydrogenase 1 and transcription intermediary factor 1-beta. Patients with a stable chronic lymphocytic leukemia (CLL) double their blood lymphocyte count in >5 years, but may develop progressive disease with lymphocytes doubling in <12 months. To identify a protein signature for progressive CLL, whole cell extracts of peripheral blood mononuclear cells from patients with CLL (n=27) were screened using iTRAQ (isobaric tags for relative and absolute quantification) analysis. A total of 84 differentially abundant proteins were identified from patients with stable and progressive CLL. Subsequently, 32 of these proteins were quantified by SRM (selected reaction monitoring) using extracts of purified CD19+ CLL cells from patients (n=50). Hierarchical clustering of these protein profiles showed two clusters of patients that correlated with progressive and stable CLL, providing signatures that should be useful for triaging patients. Some of the proteins in the progressive cluster have not been linked with CLL, for example, glutamate dehydrogenase 1 and transcription intermediary factor 1-beta. |
Author | Giles Best, O. Huang, Pauline Y. Pascovici, Dana Mactier, Swetlana Belov, Larissa Armacki, Natalie Kaufman, Kimberley L. Christopherson, Richard I. Mulligan, Stephen P. |
Author_xml | – sequence: 1 givenname: Pauline Y. surname: Huang fullname: Huang, Pauline Y. organization: School of Molecular Bioscience, University of Sydney – sequence: 2 givenname: Swetlana surname: Mactier fullname: Mactier, Swetlana organization: School of Molecular Bioscience, University of Sydney – sequence: 3 givenname: Natalie surname: Armacki fullname: Armacki, Natalie organization: School of Molecular Bioscience, University of Sydney – sequence: 4 givenname: O. surname: Giles Best fullname: Giles Best, O. organization: Northern Blood Research Centre, Kolling Institute of Medical Research, Royal North Shore Hospital – sequence: 5 givenname: Larissa surname: Belov fullname: Belov, Larissa organization: School of Molecular Bioscience, University of Sydney – sequence: 6 givenname: Kimberley L. surname: Kaufman fullname: Kaufman, Kimberley L. organization: School of Molecular Bioscience, University of Sydney – sequence: 7 givenname: Dana surname: Pascovici fullname: Pascovici, Dana organization: Australian Proteome Analysis Facility, Macquarie University – sequence: 8 givenname: Stephen P. surname: Mulligan fullname: Mulligan, Stephen P. organization: Northern Blood Research Centre, Kolling Institute of Medical Research, Royal North Shore Hospital – sequence: 9 givenname: Richard I. surname: Christopherson fullname: Christopherson, Richard I. email: richard.christopherson@sydney.edu.au organization: School of Molecular Bioscience, University of Sydney |
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Snippet | Patients with a stable chronic lymphocytic leukemia (CLL) double their blood lymphocyte count in >5 years, but may develop progressive disease with lymphocytes... Patients with a stable chronic lymphocytic leukemia (CLL) double their blood lymphocyte count in >5 years, but may develop progressive disease with... |
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SubjectTerms | Biomarkers, Tumor Chromatography, Liquid Chronic lymphocytic leukemia Cluster Analysis Disease Progression Humans Immunophenotyping iTRAQ Leukemia, Lymphocytic, Chronic, B-Cell - diagnosis Leukemia, Lymphocytic, Chronic, B-Cell - metabolism Leukemia, Lymphocytic, Chronic, B-Cell - pathology mass spectrometry Neoplasm Staging Phenotype Prognosis prognostic markers Proteome proteomics Proteomics - methods selected reaction monitoring Tandem Mass Spectrometry |
Title | Protein profiles distinguish stable and progressive chronic lymphocytic leukemia |
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