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

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.

[1]  J. C. Pratt,et al.  Activation of cytolytic T lymphocyte and natural killer cell function through the T11 sheep erythrocyte binding protein , 1985, Nature.

[2]  B. Haynes,et al.  Human T cell antigen expression during the early stages of fetal thymic maturation. , 1985, Journal of immunology.

[3]  E. Reinherz,et al.  Enhancement of natural killer function through activation of the T11 E rosette receptor. , 1987, The Journal of clinical investigation.

[4]  E. Reinherz,et al.  The Structural Biology of CD2 , 1989, Immunological reviews.

[5]  Prethymic phenotype and genotype of pre-T (CD7+/ER-)-cell leukemia and its clinical significance within adult acute lymphoblastic leukemia. , 1989, Blood.

[6]  W. Knapp Leucocyte typing IV : white cell differentiation antigens , 1989 .

[7]  J. Shuster,et al.  Prognostic factors in childhood T-cell acute lymphoblastic leukemia: a Pediatric Oncology Group study. , 1990, Blood.

[8]  G. Mills,et al.  Expression of TTK, a novel human protein kinase, is associated with cell proliferation. , 1992, The Journal of biological chemistry.

[9]  F. Cohen,et al.  A human gene (AHNAK) encoding an unusually large protein with a 1.2-microns polyionic rod structure. , 1992, Proceedings of the National Academy of Sciences of the United States of America.

[10]  R. Foà,et al.  Cytokine gene expression in B-cell chronic lymphocytic leukemia: evidence of constitutive interleukin-8 (IL-8) mRNA expression and secretion of biologically active IL-8 protein. , 1994, Blood.

[11]  D. Hogg,et al.  Cell cycle dependent regulation of the protein kinase TTK. , 1994, Oncogene.

[12]  Wim Timens,et al.  Leucocyte typing V. White cell differentiation antigens , 1995 .

[13]  N. Shimizu,et al.  Localization of the human AHNAK/desmoyokin gene (AHNAK) to chromosome band 11q12 by somatic cell hybrid analysis and fluorescence in situ hybridization. , 1995, Cytogenetics and cell genetics.

[14]  A Orfao,et al.  Proposals for the immunological classification of acute leukemias. European Group for the Immunological Characterization of Leukemias (EGIL). , 1995, Leukemia.

[15]  L. Penland,et al.  Use of a cDNA microarray to analyse gene expression patterns in human cancer , 1996, Nature Genetics.

[16]  D. Arthur,et al.  CD2 antigen expression on leukemic cells as a predictor of event-free survival after chemotherapy for T-lineage acute lymphoblastic leukemia: a Children's Cancer Group study. , 1996, Blood.

[17]  R. Foà,et al.  Interleukin-8 induces the accumulation of B-cell chronic lymphocytic leukemia cells by prolonging survival in an autocrine fashion. , 1996, Blood.

[18]  Ross Ihaka,et al.  Gentleman R: R: A language for data analysis and graphics , 1996 .

[19]  J. Kersey Fifty years of studies of the biology and therapy of childhood leukemia. , 1997, Blood.

[20]  E. Solary,et al.  PreB1 (CD10-) acute lymphoblastic leukemia: immunophenotypic and genomic characteristics, clinical features and outcome in 38 adults and 26 children. The Groupe dEtude Immunologique des Leucémies. , 1998, Leukemia & lymphoma.

[21]  Z. Estrov,et al.  Clinical significance of cytogenetic abnormalities in adult acute lymphoblastic leukemia. , 1998, Blood.

[22]  D. Botstein,et al.  Cluster analysis and display of genome-wide expression patterns. , 1998, Proceedings of the National Academy of Sciences of the United States of America.

[23]  C. Pui,et al.  Acute lymphoblastic leukemia. , 1998, The New England journal of medicine.

[24]  S. Molica,et al.  Clinico-biological implications of increased serum levels of interleukin-8 in B-cell chronic lymphocytic leukemia. , 1999, Haematologica.

[25]  J. Mesirov,et al.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. , 1999, Science.

[26]  L. Viggiano,et al.  Assignment1 of the Aquaporin-8 water channel gene (AQP8) to human chromosome 16p12 , 1999, Cytogenetic and Genome Research.

[27]  J. R. Koehler,et al.  Modern Applied Statistics with S-Plus. , 1996 .

[28]  E. Macintyre,et al.  Standardized RT-PCR analysis of fusion gene transcripts from chromosome aberrations in acute leukemia for detection of minimal residual disease , 1999, Leukemia.

[29]  D. Bowtell,et al.  Options available — from start to finish — for obtaining expression data by microarray , 1999, Nature Genetics.

[30]  J. Liu,et al.  [Study on the expression of interleukin-8 and its receptors in acute leukemia]. , 1999, Zhonghua xue ye xue za zhi = Zhonghua xueyexue zazhi.

[31]  Ash A. Alizadeh,et al.  Distinct types of diffuse large B-cell lymphoma identified by gene expression profiling , 2000, Nature.

[32]  D. Hoelzer,et al.  New approaches to acute lymphoblastic leukemia in adults: where do we go? , 2000, Seminars in oncology.

[33]  Y. Tu,et al.  Gene Expression Profiling of B Cell Chronic Lymphocytic Leukemia Reveals a Homogeneous Phenotype Related to Memory B Cells , 2001, The Journal of experimental medicine.

[34]  C. Delphin,et al.  The Giant Protein AHNAK Is a Specific Target for the Calcium- and Zinc-binding S100B Protein , 2001, The Journal of Biological Chemistry.

[35]  S. Dhanasekaran,et al.  Delineation of prognostic biomarkers in prostate cancer , 2001, Nature.

[36]  Y. Yamashita,et al.  Identification of myelodysplastic syndrome-specific genes by DNA microarray analysis with purified hematopoietic stem cell fraction. , 2001, Blood.

[37]  D. Stokoe,et al.  Protein kinase B phosphorylates AHNAK and regulates its subcellular localization , 2001, The Journal of cell biology.

[38]  E. Reinherz,et al.  Dynamic Recruitment of Human CD2 into Lipid Rafts , 2001, The Journal of Biological Chemistry.

[39]  David Botstein,et al.  Relation of Gene Expression Phenotype to Immunoglobulin Mutation Genotype in B Cell Chronic Lymphocytic Leukemia , 2001, The Journal of experimental medicine.

[40]  E. Reinherz,et al.  A Critical Role for CD2 in Both Thymic Selection Events and Mature T Cell Function1 , 2001, The Journal of Immunology.

[41]  C. Li,et al.  Model-based analysis of oligonucleotide arrays: expression index computation and outlier detection. , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[42]  E. Dougherty,et al.  Gene-expression profiles in hereditary breast cancer. , 2001, The New England journal of medicine.

[43]  K R Coombes,et al.  Cancer genomics: promises and complexities. , 2001, Clinical cancer research : an official journal of the American Association for Cancer Research.

[44]  Michael Loran Dustin Membrane domains and the immunological synapse: keeping T cells resting and ready. , 2002, The Journal of clinical investigation.

[45]  J. Zucman‐Rossi,et al.  HOX11L2 expression defines a clinical subtype of pediatric T-ALL associated with poor prognosis. , 2002, Blood.

[46]  Todd,et al.  Diffuse large B-cell lymphoma outcome prediction by gene-expression profiling and supervised machine learning , 2002, Nature Medicine.

[47]  M. Winey,et al.  The yeast protein kinase Mps1p is required for assembly of the integral spindle pole body component Spc42p , 2002, The Journal of cell biology.

[48]  MDR1 protein expression is an independent predictor of complete remission in newly diagnosed adult acute lymphoblastic leukemia. , 2002, Blood.

[49]  J. Downing,et al.  Classification, subtype discovery, and prediction of outcome in pediatric acute lymphoblastic leukemia by gene expression profiling. , 2002, Cancer cell.

[50]  M. Dono,et al.  CD10 is a marker for cycling cells with propensity to apoptosis in childhood ALL , 2002, British Journal of Cancer.

[51]  Meland,et al.  THE USE OF MOLECULAR PROFILING TO PREDICT SURVIVAL AFTER CHEMOTHERAPY FOR DIFFUSE LARGE-B-CELL LYMPHOMA , 2002 .

[52]  E. Lander,et al.  Gene expression signatures define novel oncogenic pathways in T cell acute lymphoblastic leukemia. , 2002, Cancer cell.

[53]  Donna Neuberg,et al.  Center B Cells Using Cdna Arrays Gene Expression Profiling of Follicular Lymphoma and Normal Germinal , 2022 .

[54]  E. Macintyre,et al.  Analysis of TCR, pT alpha, and RAG-1 in T-acute lymphoblastic leukemias improves understanding of early human T-lymphoid lineage commitment. , 2003, Blood.

[55]  Rob Pieters,et al.  Inhibition of FLT3 in MLL. Validation of a therapeutic target identified by gene expression based classification. , 2003, Cancer cell.