Parallel to fingerprinting of leukemia subclasses by gene expression profiling we propose to fingerprint leukemia subclasses using protein expression data collected by quantitative flow cytometry. A number of acute lymphoblastic leukemia subclasses with characteristic chromosomal aberrations (MLL; Bcr/Abl;E2A/PBX;TEL/AML1;hyperdiploid) have a unique gene expression profile as demonstrated by microarray studies (1-2). Among genes differentially expressed between leukemia subtypes are known proteins of which expression can be measured by quantitative flow cytometry using monoclonal antibodies (3). Here, univariate t-tests and multivariate principal component analysis (PCA) have been applied to profile phenotypes of 145 pB-ALL samples using expression data of 16 proteins. Expression of each marker protein has been quantified in terms of soluble fluorochrome (MESF) and coefficient of variation (CV). Materials:Patients material: A retrospective analysis has been performed on a total of 145 children diagnosed as suffering from precursor-B acute lymphoblastic leukemia (pB-ALL). We included 46 patients that were diagnosed for a MLL rearrangement between May 1995 and June 2001. As a control group representative of pB-ALL’s negative for MLL, we randomly selected 99 consecutively diagnosed patients from our MLL negative reference database.Among MLL patients, 26 are infants (aged < 1 year at diagnosis) and 20 non-infants while in the control group 5 infants (aged < 1 year at diagnosis) and 94 non-infants patients are present.

Protein expression profiling of acute lymphoblastic leukemia subclasses / TE KRONNIE, G; Bicciato, Silvio; DE ZEN, L; Basso, G.. - In: BLOOD. - ISSN 0006-4971. - STAMPA. - 100:(2002), pp. 2993-2993. (Intervento presentato al convegno American Society of Hematology - 44th Annual Meeting and Exposition tenutosi a Philadelphia (PA, USA) nel 6-10 Dicembre 2002).

Protein expression profiling of acute lymphoblastic leukemia subclasses.

BICCIATO, Silvio;
2002

Abstract

Parallel to fingerprinting of leukemia subclasses by gene expression profiling we propose to fingerprint leukemia subclasses using protein expression data collected by quantitative flow cytometry. A number of acute lymphoblastic leukemia subclasses with characteristic chromosomal aberrations (MLL; Bcr/Abl;E2A/PBX;TEL/AML1;hyperdiploid) have a unique gene expression profile as demonstrated by microarray studies (1-2). Among genes differentially expressed between leukemia subtypes are known proteins of which expression can be measured by quantitative flow cytometry using monoclonal antibodies (3). Here, univariate t-tests and multivariate principal component analysis (PCA) have been applied to profile phenotypes of 145 pB-ALL samples using expression data of 16 proteins. Expression of each marker protein has been quantified in terms of soluble fluorochrome (MESF) and coefficient of variation (CV). Materials:Patients material: A retrospective analysis has been performed on a total of 145 children diagnosed as suffering from precursor-B acute lymphoblastic leukemia (pB-ALL). We included 46 patients that were diagnosed for a MLL rearrangement between May 1995 and June 2001. As a control group representative of pB-ALL’s negative for MLL, we randomly selected 99 consecutively diagnosed patients from our MLL negative reference database.Among MLL patients, 26 are infants (aged < 1 year at diagnosis) and 20 non-infants while in the control group 5 infants (aged < 1 year at diagnosis) and 94 non-infants patients are present.
2002
100
2993
2993
TE KRONNIE, G; Bicciato, Silvio; DE ZEN, L; Basso, G.
Protein expression profiling of acute lymphoblastic leukemia subclasses / TE KRONNIE, G; Bicciato, Silvio; DE ZEN, L; Basso, G.. - In: BLOOD. - ISSN 0006-4971. - STAMPA. - 100:(2002), pp. 2993-2993. (Intervento presentato al convegno American Society of Hematology - 44th Annual Meeting and Exposition tenutosi a Philadelphia (PA, USA) nel 6-10 Dicembre 2002).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11380/421806
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