Literature DB >> 16354839

Molecular signatures in childhood acute leukemia and their correlations to expression patterns in normal hematopoietic subpopulations.

Anna Andersson1, Tor Olofsson, David Lindgren, Björn Nilsson, Cecilia Ritz, Patrik Edén, Carin Lassen, Johan Råde, Magnus Fontes, Helena Mörse, Jesper Heldrup, Mikael Behrendtz, Felix Mitelman, Mattias Höglund, Bertil Johansson, Thoas Fioretos.   

Abstract

Global expression profiles of a consecutive series of 121 childhood acute leukemias (87 B lineage acute lymphoblastic leukemias, 11 T cell acute lymphoblastic leukemias, and 23 acute myeloid leukemias), six normal bone marrows, and 10 normal hematopoietic subpopulations of different lineages and maturations were ascertained by using 27K cDNA microarrays. Unsupervised analyses revealed segregation according to lineages and primary genetic changes, i.e., TCF3(E2A)/PBX1, IGH@/MYC, ETV6(TEL)/RUNX1(AML1), 11q23/MLL, and hyperdiploidy (>50 chromosomes). Supervised discriminatory analyses were used to identify differentially expressed genes correlating with lineage and primary genetic change. The gene-expression profiles of normal hematopoietic cells were also studied. By using principal component analyses (PCA), a differentiation axis was exposed, reflecting lineages and maturation stages of normal hematopoietic cells. By applying the three principal components obtained from PCA of the normal cells on the leukemic samples, similarities between malignant and normal cell lineages and maturations were investigated. Apart from showing that leukemias segregate according to lineage and genetic subtype, we provide an extensive study of the genes correlating with primary genetic changes. We also investigated the expression pattern of these genes in normal hematopoietic cells of different lineages and maturations, identifying genes preferentially expressed by the leukemic cells, suggesting an ectopic activation of a large number of genes, likely to reflect regulatory networks of pathogenetic importance that also may provide attractive targets for future directed therapies.

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Year:  2005        PMID: 16354839      PMCID: PMC1323166          DOI: 10.1073/pnas.0506637102

Source DB:  PubMed          Journal:  Proc Natl Acad Sci U S A        ISSN: 0027-8424            Impact factor:   11.205


  38 in total

1.  Surface antigen phenotype can predict TEL-AML1 rearrangement in childhood B-precursor ALL: a Pediatric Oncology Group study.

Authors:  M J Borowitz; J Rubnitz; M Nash; D J Pullen; B Camitta
Journal:  Leukemia       Date:  1998-11       Impact factor: 11.528

2.  Clinical significance of translocation t(1;19) in childhood acute lymphoblastic leukemia in the context of contemporary therapies: a report from the Children's Cancer Group.

Authors:  F M Uckun; M G Sensel; H N Sather; P S Gaynon; D C Arthur; B J Lange; P G Steinherz; P Kraft; R Hutchinson; J B Nachman; G H Reaman; N A Heerema
Journal:  J Clin Oncol       Date:  1998-02       Impact factor: 44.544

3.  Molecular classification of cancer: class discovery and class prediction by gene expression monitoring.

Authors:  T R Golub; D K Slonim; P Tamayo; C Huard; M Gaasenbeek; J P Mesirov; H Coller; M L Loh; J R Downing; M A Caligiuri; C D Bloomfield; E S Lander
Journal:  Science       Date:  1999-10-15       Impact factor: 47.728

Review 4.  Clinical and biological importance of cytogenetic abnormalities in childhood and adult acute lymphoblastic leukemia.

Authors:  Bertil Johansson; Fredrik Mertens; Felix Mitelman
Journal:  Ann Med       Date:  2004       Impact factor: 4.709

5.  Use of gene-expression profiling to identify prognostic subclasses in adult acute myeloid leukemia.

Authors:  Lars Bullinger; Konstanze Döhner; Eric Bair; Stefan Fröhling; Richard F Schlenk; Robert Tibshirani; Hartmut Döhner; Jonathan R Pollack
Journal:  N Engl J Med       Date:  2004-04-15       Impact factor: 91.245

6.  Acute lymphoblastic leukemia with TEL-AML1 fusion has lower expression of genes involved in purine metabolism and lower de novo purine synthesis.

Authors:  Gianluigi Zaza; Wenjian Yang; Leo Kager; Meyling Cheok; James Downing; Ching-Hon Pui; Cheng Cheng; Mary V Relling; William E Evans
Journal:  Blood       Date:  2004-05-13       Impact factor: 22.113

7.  Predictability of the t(1;19)(q23;p13) from surface antigen phenotype: implications for screening cases of childhood acute lymphoblastic leukemia for molecular analysis: a Pediatric Oncology Group study.

Authors:  M J Borowitz; S P Hunger; A J Carroll; J J Shuster; D J Pullen; C P Steuber; M L Cleary
Journal:  Blood       Date:  1993-08-15       Impact factor: 22.113

8.  Gene expression profiling of pediatric acute myelogenous leukemia.

Authors:  Mary E Ross; Rami Mahfouz; Mihaela Onciu; Hsi-Che Liu; Xiaodong Zhou; Guangchun Song; Sheila A Shurtleff; Stanley Pounds; Cheng Cheng; Jing Ma; Raul C Ribeiro; Jeffrey E Rubnitz; Kevin Girtman; W Kent Williams; Susana C Raimondi; Der-Cherng Liang; Lee-Yung Shih; Ching-Hon Pui; James R Downing
Journal:  Blood       Date:  2004-06-29       Impact factor: 22.113

9.  Poor prognosis of children with pre-B acute lymphoblastic leukemia is associated with the t(1;19)(q23;p13): a Pediatric Oncology Group study.

Authors:  W M Crist; A J Carroll; J J Shuster; F G Behm; M Whitehead; T J Vietti; A T Look; D Mahoney; A Ragab; D J Pullen
Journal:  Blood       Date:  1990-07-01       Impact factor: 22.113

10.  Formation of trisomies and their parental origin in hyperdiploid childhood acute lymphoblastic leukemia.

Authors:  Kajsa Paulsson; Ioannis Panagopoulos; Sakari Knuutila; Kowan Ja Jee; Stanislaw Garwicz; Thoas Fioretos; Felix Mitelman; Bertil Johansson
Journal:  Blood       Date:  2003-06-26       Impact factor: 22.113

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  34 in total

1.  Genetic landscape of high hyperdiploid childhood acute lymphoblastic leukemia.

Authors:  Kajsa Paulsson; Erik Forestier; Henrik Lilljebjörn; Jesper Heldrup; Mikael Behrendtz; Bryan D Young; Bertil Johansson
Journal:  Proc Natl Acad Sci U S A       Date:  2010-11-22       Impact factor: 11.205

2.  Investigating the efficacy of nonlinear dimensionality reduction schemes in classifying gene and protein expression studies.

Authors:  George Lee; Carlos Rodriguez; Anant Madabhushi
Journal:  IEEE/ACM Trans Comput Biol Bioinform       Date:  2008 Jul-Sep       Impact factor: 3.710

Review 3.  Not Only Mutations Matter: Molecular Picture of Acute Myeloid Leukemia Emerging from Transcriptome Studies.

Authors:  Luiza Handschuh
Journal:  J Oncol       Date:  2019-07-30       Impact factor: 4.375

4.  High hyperdiploid childhood acute lymphoblastic leukemia: Chromosomal gains as the main driver event.

Authors:  Kajsa Paulsson
Journal:  Mol Cell Oncol       Date:  2015-07-06

5.  Integrative analysis of gene expression and copy number alterations using canonical correlation analysis.

Authors:  Charlotte Soneson; Henrik Lilljebjörn; Thoas Fioretos; Magnus Fontes
Journal:  BMC Bioinformatics       Date:  2010-04-15       Impact factor: 3.169

6.  Gene expression signatures in childhood acute leukemias are largely unique and distinct from those of normal tissues and other malignancies.

Authors:  Anna Andersson; Patrik Edén; Tor Olofsson; Thoas Fioretos
Journal:  BMC Med Genomics       Date:  2010-03-08       Impact factor: 3.063

7.  HMGA1 overexpression correlates with relapse in childhood B-lineage acute lymphoblastic leukemia.

Authors:  Sujayita Roy; Francescopaolo Di Cello; Jeanne Kowalski; Alexandra C Hristov; Hua-Ling Tsai; Deepa Bhojwani; Julia A Meyer; William L Carroll; Amy Belton; Linda M S Resar
Journal:  Leuk Lymphoma       Date:  2013-04-30

8.  A set of genes that regulate cell proliferation predicts treatment outcome in childhood acute lymphoblastic leukemia.

Authors:  Christian Flotho; Elaine Coustan-Smith; Deqing Pei; Cheng Cheng; Guangchun Song; Ching-Hon Pui; James R Downing; Dario Campana
Journal:  Blood       Date:  2007-04-24       Impact factor: 22.113

9.  PBX3 and MEIS1 Cooperate in Hematopoietic Cells to Drive Acute Myeloid Leukemias Characterized by a Core Transcriptome of the MLL-Rearranged Disease.

Authors:  Zejuan Li; Ping Chen; Rui Su; Chao Hu; Yuanyuan Li; Abdel G Elkahloun; Zhixiang Zuo; Sandeep Gurbuxani; Stephen Arnovitz; Hengyou Weng; Yungui Wang; Shenglai Li; Hao Huang; Mary Beth Neilly; Gang Greg Wang; Xi Jiang; Paul P Liu; Jie Jin; Jianjun Chen
Journal:  Cancer Res       Date:  2016-01-08       Impact factor: 12.701

10.  Genes overexpressed in different human solid cancers exhibit different tissue-specific expression profiles.

Authors:  Jacob Bock Axelsen; Jacob Bock-Axelsen; Joseph Lotem; Leo Sachs; Eytan Domany
Journal:  Proc Natl Acad Sci U S A       Date:  2007-07-30       Impact factor: 11.205

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