Gene expression profiles were examined in 33 adult patients with T-cell acute lymphocytic leukemia (T-ALL). Nonspecific filtering criteria identified 313 genes differentially expressed in the leukemic cells. Hierarchical clustering of samples identified 2 groups that reflected the degree of T-cell differentiation but was not associated with clinical outcome. Comparison between refractory patients and those who responded to induction chemotherapy identified a single gene, interleukin 8 (IL-8), that was highly expressed in refractory T-ALL cells and a set of 30 genes that was highly expressed in leukemic cells from patients who achieved complete remission. We next identified 19 genes that were differentially expressed in T-ALL cells from patients who either had a relapse or remained in continuous complete remission. A model based on the expression of 3 of these genes was predictive of duration of remission. The 3-gene model was validated on a further set of T-ALL samples from 18 additional patients treated on the same clinical protocol. This study demonstrates that gene expression profiling can identify a limited number of genes that are predictive of response to induction therapy and remission duration in adult patients with T-ALL. (C) 2004 by The American Society of Hematology.

Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival / Chiaretti, Sabina; X. C., Li; R., Gentleman; A., Vitale; Vignetti, Marco; Mandelli, Franco; J., Ritz; Foa, Roberto. - In: BLOOD. - ISSN 0006-4971. - 103:7(2004), pp. 2771-2778. [10.1182/blood-2003-09-3243]

Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival

CHIARETTI, sabina;VIGNETTI, Marco;MANDELLI, Franco;FOA, Roberto
2004

Abstract

Gene expression profiles were examined in 33 adult patients with T-cell acute lymphocytic leukemia (T-ALL). Nonspecific filtering criteria identified 313 genes differentially expressed in the leukemic cells. Hierarchical clustering of samples identified 2 groups that reflected the degree of T-cell differentiation but was not associated with clinical outcome. Comparison between refractory patients and those who responded to induction chemotherapy identified a single gene, interleukin 8 (IL-8), that was highly expressed in refractory T-ALL cells and a set of 30 genes that was highly expressed in leukemic cells from patients who achieved complete remission. We next identified 19 genes that were differentially expressed in T-ALL cells from patients who either had a relapse or remained in continuous complete remission. A model based on the expression of 3 of these genes was predictive of duration of remission. The 3-gene model was validated on a further set of T-ALL samples from 18 additional patients treated on the same clinical protocol. This study demonstrates that gene expression profiling can identify a limited number of genes that are predictive of response to induction therapy and remission duration in adult patients with T-ALL. (C) 2004 by The American Society of Hematology.
2004
adult; adult t-cell; base sequence; cultured; dna primers; gene expression profiling; gene expression regulation; genetic; genetics; genetics/mortality/therapy; humans; leukemia-lymphoma; methods; models; neoplastic; oligonucleotide array sequence analysis; predictive value of tests; reproducibility of results; reverse transcriptase polymerase chain reaction; survival rate; time factors; tumor cells
01 Pubblicazione su rivista::01a Articolo in rivista
Gene expression profile of adult T-cell acute lymphocytic leukemia identifies distinct subsets of patients with different response to therapy and survival / Chiaretti, Sabina; X. C., Li; R., Gentleman; A., Vitale; Vignetti, Marco; Mandelli, Franco; J., Ritz; Foa, Roberto. - In: BLOOD. - ISSN 0006-4971. - 103:7(2004), pp. 2771-2778. [10.1182/blood-2003-09-3243]
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/396607
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